{ "schema_version": "1.0", "count": 50, "items": [ { "id": "RES_01115CBDB5E5", "resource_type": "mcp_server", "canonical_url": "https://registry.modelcontextprotocol.io/v0.1/servers/apix402/versions/1.0.0", "name": "apix402", "summary_en": "Live onchain governance, vesting, oracle and Safe authority checks. Free samples over MCP.", "summary_zh": "实时链上治理、归属、预言机与Safe权限检查，提供免费样本，付费完整查询。", "description_en": "This MCP server provides live onchain governance, vesting, oracle staleness, lending depeg, and Safe authority checks. It offers free sample tools that return fixed, real positions or proposals, while paid endpoints provide full query capabilities. Access requires x402 payment over plain HTTP, with no API key or account.", "description_zh": "该MCP服务器提供实时链上治理、归属、预言机过期、借贷脱锚和Safe权限检查。免费样本工具返回固定的真实仓位或提案，付费端点提供完整查询能力。访问需通过普通HTTP进行x402支付，无需API密钥或账户。", "provider_name": "com.api402x", "homepage_url": "https://api402x.com/", "endpoint_url": "https://api402x.com/mcp", "source_url": "https://registry.modelcontextprotocol.io/v0.1/servers/apix402/versions/1.0.0", "icon_url": null, "cover_image_url": null, "capabilities": [ "governance.monitor", "finance.risk-monitor", "data.retrieve" ], "categories": [ "data-analytics", "finance-payments" ], "industries": [ "finance" ], "protocols": [ "mcp" ], "auth": { "type": "unknown" }, "pricing": { "model": "unknown" }, "input_schema": {}, "output_schema": {}, "metadata": { "content_language": "en", "translation_status": "luna-reviewed", "official_registry": { "version": "1.0.0", "packages": [], "remotes": [] }, "review_gate": { "passed": true, "reasons": [], "policy_version": "review-gate-v1", "evaluated_at": "2026-09-04T04:32:37.536Z" }, "catalog_profile": { "version": "catalog-profile-v1", "primary_category": "data-analytics", "integrations": [], "use_cases": { "en": [ "Monitor DAO governance proposal deadlines and off-chain vs on-chain discrepancies", "Check oracle staleness and lending depeg exposure for risk management", "Verify vesting plan status and Safe authority structure" ], "zh": [ "监控DAO治理提案截止日期及链下与链上差异", "检查预言机过期和借贷脱锚风险", "验证归属计划状态和Safe权限结构" ] }, "categories": [ "data-analytics", "finance-payments" ], "industries": [ "finance" ], "copy": { "source_language": "en", "summary_zh_state": "present", "description_zh_state": "present", "description_en_state": "present" } } }, "latest_version": "1.0.0", "status": "listed", "health_status": "healthy", "source_kind": "imported", "source_agent": "registry.modelcontextprotocol.io", "trust": { "signal": "none", "reason": null, "signals": { "yellow": 0, "red": 0 } }, "review_summary": { "method_version": "capability-evidence-v3", "capability_definition": "strong", "contract_completeness": "strong", "access_friction": "medium", "operational_transparency": "partial", "evidence_strength": "protocol_inspected", "use_readiness": "conditional", "reviewed_at": "2026-09-04T04:32:38.547Z" }, "experience_count": 0, "verified_experience_count": 0, "usage_count": 0, "success_rate": null, "first_seen_at": "2026-09-03T14:00:26.689Z", "last_seen_at": "2026-09-04T04:32:37.787Z", "published_at": "2026-09-03T14:00:26.689Z", "created_at": "2026-09-03T14:00:26.689Z", "updated_at": "2026-09-04T04:32:38.547Z", "api_url": "https://aiworkshub.io/api/v1/resources/RES_01115CBDB5E5", "reviews_url": "https://aiworkshub.io/api/v1/resources/RES_01115CBDB5E5/reviews", "public_url": "https://aiworkshub.io/resources/RES_01115CBDB5E5", "distribution": { "canonical_identity": "https://registry.modelcontextprotocol.io/v0.1/servers/apix402/versions/1.0.0", "syndicatable": true } }, { "id": "RES_01342377A4ED", "resource_type": "mcp_server", "canonical_url": "https://registry.modelcontextprotocol.io/v0.1/servers/ai.contractorsnearme%2Fcontractors-near-me/versions/1.2.0", "name": "Contractors Near Me", "summary_en": "Search licensed US contractors by trade or location, fetch profiles and reviews, and submit leads.", "summary_zh": "按行业或地点搜索美国持牌承包商，获取资料与评论，并提交线索。", "description_en": "Contractors Near Me is an MCP server that provides tools to search licensed US contractors by trade or location, fetch contractor profiles and reviews, and submit leads. It exposes 14 tools via MCP discovery, including search_contractors, get_contractor, get_reviews, list_trades, submit_lead, submit_review, get_my_leads, respond_to_lead, update_my_profile, search_itbs, get_itb, get_availability, list_marketplace_requests, and get_marketplace_request. The server is reachable at https://contractorsnearme.ai/api/mcp and was verified healthy with HTTP 200 and latency 156ms. Authentication is unknown; some tools require an API key. Pricing is unknown.", "description_zh": "Contractors Near Me 是一个 MCP 服务器，提供按行业或地点搜索美国持牌承包商、获取承包商资料和评论以及提交线索的工具。该服务器通过 MCP 发现暴露了 14 个工具，包括 search_contractors、get_contractor、get_reviews、list_trades、submit_lead、submit_review、get_my_leads、respond_to_lead、update_my_profile、search_itbs、get_itb、get_availability、list_marketplace_requests 和 get_marketplace_request。服务器可通过 https://contractorsnearme.ai/api/mcp 访问，并已验证健康，HTTP 状态 200，延迟 156 毫秒。认证方式未知；部分工具需要 API 密钥。定价未知。", "provider_name": "ai.contractorsnearme", "homepage_url": "https://contractorsnearme.ai/api/mcp", "endpoint_url": "https://contractorsnearme.ai/api/mcp", "source_url": "https://registry.modelcontextprotocol.io/v0.1/servers/ai.contractorsnearme%2Fcontractors-near-me/versions/1.2.0", "icon_url": null, "cover_image_url": null, "capabilities": [ "contractor.search", "contractor.profile.read", "contractor.reviews.read", "contractor.trades.list", "lead.submit", "review.submit", "lead.read-own", "lead.update", "profile.update-own", "itb.search", "itb.read", "availability.read", "marketplace-request.list", "marketplace-request.read" ], "categories": [], "industries": [ "real-estate" ], "protocols": [ "mcp" ], "auth": { "type": "unknown" }, "pricing": { "model": "unknown" }, "input_schema": {}, "output_schema": {}, "metadata": { "content_language": "en", "translation_status": "original-only", "official_registry": { "version": "1.2.0", "packages": [], "remotes": [] }, "review_gate": { "passed": true, "reasons": [], "policy_version": "review-gate-v1", "evaluated_at": "2026-09-04T04:32:26.892Z" }, "catalog_profile": { "version": "catalog-profile-v1", "primary_category": null, "integrations": [], "use_cases": { "en": [ "Search for licensed contractors by trade or location", "Fetch contractor profiles and reviews", "Submit leads to contractors" ], "zh": [ "按行业或地点搜索持牌承包商", "获取承包商资料和评论", "向承包商提交线索" ] }, "categories": [], "industries": [ "real-estate" ], "copy": { "source_language": "en", "summary_zh_state": "present", "description_zh_state": "present", "description_en_state": "present" } } }, "latest_version": "1.2.0", "status": "listed", "health_status": "healthy", "source_kind": "imported", "source_agent": "registry.modelcontextprotocol.io", "trust": { "signal": "none", "reason": "No suspicious or malicious evidence.", "signals": { "yellow": 0, "red": 0 } }, "review_summary": { "method_version": "capability-evidence-v3", "capability_definition": "strong", "contract_completeness": "strong", "access_friction": "medium", "operational_transparency": "partial", "evidence_strength": "protocol_inspected", "use_readiness": "guided_use", "reviewed_at": "2026-09-04T04:32:27.970Z" }, "experience_count": 0, "verified_experience_count": 0, "usage_count": 0, "success_rate": null, "first_seen_at": "2026-09-03T02:50:17.921Z", "last_seen_at": "2026-09-04T04:32:27.203Z", "published_at": "2026-09-03T06:25:27.138Z", "created_at": "2026-09-03T02:50:17.921Z", "updated_at": "2026-09-04T04:32:27.970Z", "api_url": "https://aiworkshub.io/api/v1/resources/RES_01342377A4ED", "reviews_url": "https://aiworkshub.io/api/v1/resources/RES_01342377A4ED/reviews", "public_url": "https://aiworkshub.io/resources/RES_01342377A4ED", "distribution": { "canonical_identity": "https://registry.modelcontextprotocol.io/v0.1/servers/ai.contractorsnearme%2Fcontractors-near-me/versions/1.2.0", "syndicatable": true } }, { "id": "RES_01252E32DD58", "resource_type": "mcp_server", "canonical_url": "https://registry.modelcontextprotocol.io/v0.1/servers/Offendersearch/versions/1.29.1", "name": "Offendersearch", "summary_en": "Search US sex-offender registries and criminal records, with per-source citations.", "summary_zh": "检索美国性犯罪者登记与刑事记录，覆盖全州及联邦来源，并附逐源引用。", "description_en": "Offendersearch searches US sex-offender registries and criminal records across all 58 registries and multiple criminal-justice sources. It returns normalized records with per-source citations and coverage metadata. Use it for background checks or locating registered individuals; note that partial results may undercount when sources are incomplete.", "description_zh": "Offendersearch 可检索美国性犯罪者登记册及刑事记录，覆盖全部 58 个登记处及多个刑事司法来源。它返回标准化记录，并附逐源引用与覆盖元数据。适用于背景调查或定位登记人员；注意当来源不完整时，部分结果可能低估数量。", "provider_name": "app.offendersearch", "homepage_url": "https://offendersearch.app/", "endpoint_url": "https://mcp.offendersearch.app/mcp", "source_url": "https://github.com/Clavaa/offendersearch-quickstart", "icon_url": null, "cover_image_url": null, "capabilities": [ "search.people", "search.criminal-records", "retrieve.coverage-metadata" ], "categories": [ "search-research" ], "industries": [ "legal", "public-sector" ], "protocols": [ "mcp" ], "auth": { "type": "unknown" }, "pricing": { "model": "unknown" }, "input_schema": {}, "output_schema": {}, "metadata": { "content_language": "en", "translation_status": "luna-reviewed", "official_registry": { "version": "1.29.1", "packages": [], "remotes": [] }, "review_gate": { "passed": true, "reasons": [], "policy_version": "review-gate-v1", "evaluated_at": "2026-09-04T04:27:01.453Z" }, "catalog_profile": { "version": "catalog-profile-v1", "primary_category": "search-research", "integrations": [ "GitHub" ], "use_cases": { "en": [ "Search sex-offender registries by name, location, or jurisdiction", "Search criminal records including jail bookings, prison custody, court cases, and warrants" ], "zh": [ "按姓名、地点或辖区检索性犯罪者登记册", "检索刑事记录，包括监狱收监、州监狱羁押、法院案件和逮捕令" ] }, "categories": [ "search-research" ], "industries": [ "legal", "public-sector" ], "copy": { "source_language": "en", "summary_zh_state": "present", "description_zh_state": "present", "description_en_state": "present" } } }, "latest_version": "1.29.1", "status": "listed", "health_status": "healthy", "source_kind": "imported", "source_agent": "registry.modelcontextprotocol.io", "trust": { "signal": "none", "reason": null, "signals": { "yellow": 0, "red": 0 } }, "review_summary": { "method_version": "capability-evidence-v3", "capability_definition": "strong", "contract_completeness": "strong", "access_friction": "unknown", "operational_transparency": "strong", "evidence_strength": "protocol_inspected", "use_readiness": "guided_use", "reviewed_at": "2026-09-04T04:32:27.035Z" }, "experience_count": 0, "verified_experience_count": 0, "usage_count": 0, "success_rate": null, "first_seen_at": "2026-09-03T13:57:15.042Z", "last_seen_at": "2026-09-04T04:32:26.233Z", "published_at": "2026-09-03T13:57:15.042Z", "created_at": "2026-09-03T13:57:15.042Z", "updated_at": "2026-09-04T04:32:27.035Z", "api_url": "https://aiworkshub.io/api/v1/resources/RES_01252E32DD58", "reviews_url": "https://aiworkshub.io/api/v1/resources/RES_01252E32DD58/reviews", "public_url": "https://aiworkshub.io/resources/RES_01252E32DD58", "distribution": { "canonical_identity": "https://registry.modelcontextprotocol.io/v0.1/servers/Offendersearch/versions/1.29.1", "syndicatable": true } }, { "id": "RES_01C18D26865F", "resource_type": "mcp_server", "canonical_url": "https://registry.modelcontextprotocol.io/v0.1/servers/Nordax%20AI%20Entity%20Network/versions/1.0.0", "name": "Nordax AI Entity Network", "summary_en": "Search and verify 360K+ business entities with trust scores and W3C credentials.", "summary_zh": "检索并验证36万+商业实体的信任评分与W3C可验证凭证，支持按类别、城市、州筛选，并提供加密签名证明。", "description_en": "This MCP server provides search and verification of over 360,000 business entities, returning structured data with trust tiers and AI visibility scores. It offers tools to resolve ambiguous references, retrieve W3C Verifiable Entity Credentials, and issue or verify HAP authorizations for AI agents. Access requires authentication for certain tools, and the server is reachable at https://mcp.nordax.ai/mcp.", "description_zh": "该MCP服务器提供对超过36万家商业实体的搜索与验证，返回包含信任层级和AI可见度分数的结构化数据。它提供工具来解析模糊引用、获取W3C可验证实体凭证，以及签发或验证AI代理的HAP授权。部分工具需要认证，服务器可通过https://mcp.nordax.ai/mcp访问。", "provider_name": "ai.nordax", "homepage_url": "https://mcp.nordax.ai/mcp", "endpoint_url": "https://mcp.nordax.ai/mcp", "source_url": "https://registry.modelcontextprotocol.io/v0.1/servers/Nordax%20AI%20Entity%20Network/versions/1.0.0", "icon_url": null, "cover_image_url": null, "capabilities": [ "entity.search", "entity.retrieve", "entity.verify", "credential.issue", "credential.verify" ], "categories": [ "data-analytics", "search-research", "security" ], "industries": [ "commerce", "finance", "legal", "real-estate" ], "protocols": [ "mcp" ], "auth": { "type": "unknown" }, "pricing": { "model": "unknown" }, "input_schema": {}, "output_schema": {}, "metadata": { "content_language": "en", "translation_status": "luna-reviewed", "official_registry": { "version": "1.0.0", "packages": [], "remotes": [] }, "review_gate": { "passed": true, "reasons": [], "policy_version": "review-gate-v1", "evaluated_at": "2026-09-04T04:32:24.082Z" }, "catalog_profile": { "version": "catalog-profile-v1", "primary_category": "data-analytics", "integrations": [], "use_cases": { "en": [ "Search for businesses by name, category, or location with trust scores.", "Verify a business's legitimacy via trust tiers and W3C credentials.", "Resolve partial business information to a verified entity." ], "zh": [ "按名称、类别或地点搜索企业并获取信任评分。", "通过信任层级和W3C凭证验证企业的合法性。", "将部分企业信息解析为已验证的实体。" ] }, "categories": [ "data-analytics", "search-research", "security" ], "industries": [ "commerce", "finance", "legal", "real-estate" ], "copy": { "source_language": "en", "summary_zh_state": "present", "description_zh_state": "present", "description_en_state": "present" } } }, "latest_version": "1.0.0", "status": "listed", "health_status": "healthy", "source_kind": "imported", "source_agent": "registry.modelcontextprotocol.io", "trust": { "signal": "none", "reason": null, "signals": { "yellow": 0, "red": 0 } }, "review_summary": { "method_version": "capability-evidence-v3", "capability_definition": "strong", "contract_completeness": "strong", "access_friction": "medium", "operational_transparency": "partial", "evidence_strength": "protocol_inspected", "use_readiness": "guided_use", "reviewed_at": "2026-09-04T04:32:25.163Z" }, "experience_count": 0, "verified_experience_count": 0, "usage_count": 0, "success_rate": null, "first_seen_at": "2026-09-03T13:52:56.143Z", "last_seen_at": "2026-09-04T04:32:24.376Z", "published_at": "2026-09-03T13:52:56.143Z", "created_at": "2026-09-03T13:52:56.143Z", "updated_at": "2026-09-04T04:32:25.163Z", "api_url": "https://aiworkshub.io/api/v1/resources/RES_01C18D26865F", "reviews_url": "https://aiworkshub.io/api/v1/resources/RES_01C18D26865F/reviews", "public_url": "https://aiworkshub.io/resources/RES_01C18D26865F", "distribution": { "canonical_identity": "https://registry.modelcontextprotocol.io/v0.1/servers/Nordax%20AI%20Entity%20Network/versions/1.0.0", "syndicatable": true } }, { "id": "RES_01A2B1480B3E", "resource_type": "mcp_server", "canonical_url": "https://registry.modelcontextprotocol.io/v0.1/servers/Asked%20Thrice/versions/1.1.0", "name": "Asked Thrice", "summary_en": "Measure whether AI assistants actually recommend a brand, from measured answers.", "summary_zh": "通过向主流AI助手提出真实买家问题，测量品牌在AI推荐中的可见性。", "description_en": "Asked Thrice measures whether AI assistants actually recommend a brand by asking real buyer questions to OpenAI, Anthropic, and Gemini. It reports which providers answered and whether the brand won. Use it to audit brand visibility in AI recommendations. Free, no signup, but limited to one measurement per domain every 30 days.", "description_zh": "Asked Thrice 通过向 OpenAI、Anthropic 和 Gemini 提出真实买家问题，测量 AI 助手是否实际推荐某个品牌。它会报告哪些提供商做出了回答以及品牌是否胜出。用于审计品牌在 AI 推荐中的可见性。免费，无需注册，但每个域名每 30 天仅限一次测量。", "provider_name": "com.askedthrice", "homepage_url": "https://askedthrice.com/", "endpoint_url": "https://mcp.askedthrice.com/mcp", "source_url": "https://github.com/nahuelsoria/llmaudit-mcp", "icon_url": null, "cover_image_url": null, "capabilities": [ "brand.visibility.measure" ], "categories": [ "search-research" ], "industries": [ "commerce" ], "protocols": [ "mcp" ], "auth": { "type": "unknown" }, "pricing": { "model": "unknown" }, "input_schema": {}, "output_schema": {}, "metadata": { "content_language": "en", "translation_status": "luna-reviewed", "official_registry": { "version": "1.1.0", "packages": [], "remotes": [] }, "review_gate": { "passed": true, "reasons": [], "policy_version": "review-gate-v1", "evaluated_at": "2026-09-04T04:32:03.829Z" }, "catalog_profile": { "version": "catalog-profile-v1", "primary_category": "search-research", "integrations": [ "GitHub" ], "use_cases": { "en": [ "Measure brand visibility in AI assistant recommendations", "Audit AI answer providers for brand mentions" ], "zh": [ "测量品牌在 AI 助手推荐中的可见性", "审计 AI 回答提供商对品牌的提及情况" ] }, "categories": [ "search-research" ], "industries": [ "commerce" ], "copy": { "source_language": "en", "summary_zh_state": "present", "description_zh_state": "present", "description_en_state": "present" } } }, "latest_version": "1.1.0", "status": "listed", "health_status": "healthy", "source_kind": "imported", "source_agent": "registry.modelcontextprotocol.io", "trust": { "signal": "none", "reason": null, "signals": { "yellow": 0, "red": 0 } }, "review_summary": { "method_version": "capability-evidence-v3", "capability_definition": "strong", "contract_completeness": "strong", "access_friction": "low", "operational_transparency": "strong", "evidence_strength": "protocol_inspected", "use_readiness": "guided_use", "reviewed_at": "2026-09-04T04:32:04.968Z" }, "experience_count": 0, "verified_experience_count": 0, "usage_count": 0, "success_rate": null, "first_seen_at": "2026-09-03T14:00:39.168Z", "last_seen_at": "2026-09-04T04:32:04.101Z", "published_at": "2026-09-03T14:00:39.168Z", "created_at": "2026-09-03T14:00:39.168Z", "updated_at": "2026-09-04T04:32:04.968Z", "api_url": "https://aiworkshub.io/api/v1/resources/RES_01A2B1480B3E", "reviews_url": "https://aiworkshub.io/api/v1/resources/RES_01A2B1480B3E/reviews", "public_url": "https://aiworkshub.io/resources/RES_01A2B1480B3E", "distribution": { "canonical_identity": "https://registry.modelcontextprotocol.io/v0.1/servers/Asked%20Thrice/versions/1.1.0", "syndicatable": true } }, { "id": "RES_01AB917D9692", "resource_type": "mcp_server", "canonical_url": "https://registry.modelcontextprotocol.io/v0.1/servers/Alex%20Polonsky%20Profile/versions/0.1.0", "name": "Alex Polonsky Profile", "summary_en": "Public, read-only professional profile and current availability for Alex Polonsky.", "summary_zh": "提供 Alex Polonsky 的公开职业简介与当前合作状态查询。", "description_en": "This MCP server exposes two read-only tools that return Alex Polonsky's curated public professional profile and current availability. Use it to retrieve verified background, selected experience, and public contact routes. It is limited to publicly available information and does not provide a complete CV or private data.", "description_zh": "该 MCP 服务器提供两个只读工具，用于获取 Alex Polonsky 的精选公开职业简介和当前合作状态。可用于检索经过验证的背景、精选经历和公开联系方式。仅限公开信息，不提供完整简历或私人数据。", "provider_name": "com.alexpolonsky", "homepage_url": "https://alexpolonsky.com/mcp", "endpoint_url": "https://alexpolonsky.com/mcp", "source_url": "https://registry.modelcontextprotocol.io/v0.1/servers/Alex%20Polonsky%20Profile/versions/0.1.0", "icon_url": null, "cover_image_url": null, "capabilities": [ "profile.retrieve", "availability.retrieve" ], "categories": [], "industries": [], "protocols": [ "mcp" ], "auth": { "type": "unknown" }, "pricing": { "model": "unknown" }, "input_schema": {}, "output_schema": {}, "metadata": { "content_language": "en", "translation_status": "luna-reviewed", "official_registry": { "version": "0.1.0", "packages": [], "remotes": [] }, "review_gate": { "passed": true, "reasons": [], "policy_version": "review-gate-v1", "evaluated_at": "2026-09-04T04:31:54.299Z" }, "catalog_profile": { "version": "catalog-profile-v1", "primary_category": null, "integrations": [], "use_cases": { "en": [ "Retrieve Alex Polonsky's professional profile for background checks or introductions.", "Check Alex Polonsky's current availability and preferred engagement types." ], "zh": [ "获取 Alex Polonsky 的职业简介以进行背景调查或引荐。", "查询 Alex Polonsky 当前的可合作状态及偏好的合作方式。" ] }, "categories": [], "industries": [], "copy": { "source_language": "en", "summary_zh_state": "present", "description_zh_state": "present", "description_en_state": "present" } } }, "latest_version": "0.1.0", "status": "listed", "health_status": "healthy", "source_kind": "imported", "source_agent": "registry.modelcontextprotocol.io", "trust": { "signal": "none", "reason": null, "signals": { "yellow": 0, "red": 0 } }, "review_summary": { "method_version": "capability-evidence-v3", "capability_definition": "strong", "contract_completeness": "strong", "access_friction": "low", "operational_transparency": "strong", "evidence_strength": "protocol_inspected", "use_readiness": "ready_for_guidance", "reviewed_at": "2026-09-04T04:31:55.233Z" }, "experience_count": 0, "verified_experience_count": 0, "usage_count": 0, "success_rate": null, "first_seen_at": "2026-09-03T14:00:03.063Z", "last_seen_at": "2026-09-04T04:31:54.526Z", "published_at": "2026-09-03T14:00:03.063Z", "created_at": "2026-09-03T14:00:03.063Z", "updated_at": "2026-09-04T04:31:55.233Z", "api_url": "https://aiworkshub.io/api/v1/resources/RES_01AB917D9692", "reviews_url": "https://aiworkshub.io/api/v1/resources/RES_01AB917D9692/reviews", "public_url": "https://aiworkshub.io/resources/RES_01AB917D9692", "distribution": { "canonical_identity": "https://registry.modelcontextprotocol.io/v0.1/servers/Alex%20Polonsky%20Profile/versions/0.1.0", "syndicatable": true } }, { "id": "RES_0248DD0CCC42", "resource_type": "mcp_server", "canonical_url": "https://registry.modelcontextprotocol.io/v0.1/servers/ai.auteng%2Fdocs/versions/1.1.0", "name": "AutEng MCP - Markdown Publishing & Document Share Links", "summary_en": "Publish markdown documents as public share links with mermaid diagram support. Built by AutEng.ai", "summary_zh": "将 Markdown 文档发布为公开分享链接，支持 mermaid 图表，并提供工作区文档管理功能。", "description_en": "This MCP server publishes markdown documents as publicly shareable links with mermaid diagram support. It also provides workspace document management (create, update, list, delete) and a public feed of recent shared documents. Workspace operations require EIP-191 wallet signature authentication, while publishing and browsing the public feed do not require authentication.", "description_zh": "该 MCP 服务器可将 Markdown 文档发布为公开可分享的链接，并支持 mermaid 图表渲染。它还提供工作区文档管理（创建、更新、列出、删除）以及最近分享文档的公开动态流。工作区操作需要 EIP-191 钱包签名认证，而发布和浏览公开动态流则无需认证。", "provider_name": "ai.auteng", "homepage_url": "https://auteng.ai/", "endpoint_url": "https://auteng.ai/mcp/docs", "source_url": "https://registry.modelcontextprotocol.io/v0.1/servers/ai.auteng%2Fdocs/versions/1.1.0", "icon_url": "https://auteng.ai/auteng-sqr.jpg", "cover_image_url": null, "capabilities": [ "document.publish", "document.create", "document.update", "document.list", "document.delete", "document.share", "document.browse-recent" ], "categories": [], "industries": [], "protocols": [ "mcp" ], "auth": { "type": "unknown" }, "pricing": { "model": "unknown" }, "input_schema": {}, "output_schema": {}, "metadata": { "content_language": "en", "translation_status": "original-only", "official_registry": { "version": "1.1.0", "packages": [], "remotes": [] }, "review_gate": { "passed": true, "reasons": [], "policy_version": "review-gate-v1", "evaluated_at": "2026-09-04T04:31:42.962Z" }, "catalog_profile": { "version": "catalog-profile-v1", "primary_category": null, "integrations": [], "use_cases": { "en": [ "Publish markdown documents as public share links with mermaid diagram support.", "Manage documents in an agent workspace with create, update, list, and delete operations.", "Browse a public feed of recently shared documents." ], "zh": [ "将 Markdown 文档发布为公开分享链接，并支持 mermaid 图表。", "在代理工作区中管理文档，支持创建、更新、列出和删除操作。", "浏览最近分享文档的公开动态流。" ] }, "categories": [], "industries": [], "copy": { "source_language": "en", "summary_zh_state": "present", "description_zh_state": "present", "description_en_state": "present" } } }, "latest_version": "1.1.0", "status": "listed", "health_status": "healthy", "source_kind": "imported", "source_agent": "registry.modelcontextprotocol.io", "trust": { "signal": "none", "reason": null, "signals": { "yellow": 0, "red": 0 } }, "review_summary": { "method_version": "capability-evidence-v3", "capability_definition": "strong", "contract_completeness": "strong", "access_friction": "medium", "operational_transparency": "partial", "evidence_strength": "protocol_inspected", "use_readiness": "conditional", "reviewed_at": "2026-09-04T04:31:44.011Z" }, "experience_count": 0, "verified_experience_count": 0, "usage_count": 0, "success_rate": null, "first_seen_at": "2026-09-03T02:49:44.557Z", "last_seen_at": "2026-09-04T04:31:43.245Z", "published_at": "2026-09-03T06:25:13.296Z", "created_at": "2026-09-03T02:49:44.557Z", "updated_at": "2026-09-04T04:31:44.011Z", "api_url": "https://aiworkshub.io/api/v1/resources/RES_0248DD0CCC42", "reviews_url": "https://aiworkshub.io/api/v1/resources/RES_0248DD0CCC42/reviews", "public_url": "https://aiworkshub.io/resources/RES_0248DD0CCC42", "distribution": { "canonical_identity": "https://registry.modelcontextprotocol.io/v0.1/servers/ai.auteng%2Fdocs/versions/1.1.0", "syndicatable": true } }, { "id": "RES_0243D5CA1EA5", "resource_type": "mcp_server", "canonical_url": "https://registry.modelcontextprotocol.io/v0.1/servers/library/versions/1.0.0", "name": "library", "summary_en": "Teen-first library on CBT, DBT, and finding the right therapist.", "summary_zh": "面向青少年的心理治疗资料库，提供CBT、DBT文章搜索与危机资源。", "description_en": "This MCP server provides access to Therapy for Teens, a teen-first library of articles on CBT, DBT, and finding a therapist. It offers search, listing, retrieval, and citation tools for editorial content, plus crisis resources. Access requires no authentication, but content is specific to teen mental health.", "description_zh": "该MCP服务器提供对Therapy for Teens的访问，这是一个面向青少年的心理治疗资料库，涵盖CBT、DBT及寻找治疗师的文章。它提供搜索、列表、检索和引用工具，以及危机资源。无需认证即可访问，但内容专注于青少年心理健康。", "provider_name": "ai.teentherapy", "homepage_url": "https://teentherapy.ai/", "endpoint_url": "https://teentherapy.ai/api/mcp/v1", "source_url": "https://registry.modelcontextprotocol.io/v0.1/servers/library/versions/1.0.0", "icon_url": null, "cover_image_url": null, "capabilities": [ "content.search", "content.retrieve", "content.cite", "crisis.support" ], "categories": [ "search-research" ], "industries": [ "health" ], "protocols": [ "mcp" ], "auth": { "type": "unknown" }, "pricing": { "model": "unknown" }, "input_schema": {}, "output_schema": {}, "metadata": { "content_language": "en", "translation_status": "luna-reviewed", "official_registry": { "version": "1.0.0", "packages": [], "remotes": [] }, "review_gate": { "passed": true, "reasons": [], "policy_version": "review-gate-v1", "evaluated_at": "2026-09-04T04:31:40.654Z" }, "catalog_profile": { "version": "catalog-profile-v1", "primary_category": "search-research", "integrations": [], "use_cases": { "en": [ "Search for teen mental health articles on CBT, DBT, and therapy.", "Retrieve full article content and metadata for citation.", "Access crisis resources for immediate support." ], "zh": [ "搜索关于CBT、DBT和治疗的青少年心理健康文章。", "获取完整文章内容和元数据以进行引用。", "获取危机资源以提供即时支持。" ] }, "categories": [ "search-research" ], "industries": [ "health" ], "copy": { "source_language": "en", "summary_zh_state": "present", "description_zh_state": "present", "description_en_state": "present" } } }, "latest_version": "1.0.0", "status": "listed", "health_status": "healthy", "source_kind": "imported", "source_agent": "registry.modelcontextprotocol.io", "trust": { "signal": "none", "reason": null, "signals": { "yellow": 0, "red": 0 } }, "review_summary": { "method_version": "capability-evidence-v3", "capability_definition": "strong", "contract_completeness": "strong", "access_friction": "low", "operational_transparency": "strong", "evidence_strength": "protocol_inspected", "use_readiness": "ready_for_guidance", "reviewed_at": "2026-09-04T04:31:41.675Z" }, "experience_count": 0, "verified_experience_count": 0, "usage_count": 0, "success_rate": null, "first_seen_at": "2026-09-03T13:54:48.668Z", "last_seen_at": "2026-09-04T04:31:40.898Z", "published_at": "2026-09-03T13:54:48.668Z", "created_at": "2026-09-03T13:54:48.668Z", "updated_at": "2026-09-04T04:31:41.675Z", "api_url": "https://aiworkshub.io/api/v1/resources/RES_0243D5CA1EA5", "reviews_url": "https://aiworkshub.io/api/v1/resources/RES_0243D5CA1EA5/reviews", "public_url": "https://aiworkshub.io/resources/RES_0243D5CA1EA5", "distribution": { "canonical_identity": "https://registry.modelcontextprotocol.io/v0.1/servers/library/versions/1.0.0", "syndicatable": true } }, { "id": "RES_037D57BF0DAE", "resource_type": "mcp_server", "canonical_url": "https://goji.agency/", "name": "goji", "summary_en": "Answers on AEO, SEO, web and brand from GOJI's published material. Melbourne, Australia.", "summary_zh": "基于GOJI已发布内容，提供AEO、SEO、网站和品牌相关答案的MCP服务器，位于澳大利亚墨尔本。", "description_en": "This MCP server provides answers about AEO, SEO, web and brand based on GOJI's published material. It offers search, glossary, service information, FAQ, and guide reading tools, plus an enquiry submission tool. The server is hosted remotely and verified healthy with 9 tools.", "description_zh": "该MCP服务器基于GOJI已发布的内容，提供关于AEO、SEO、网站和品牌的答案。提供搜索、术语表、服务信息、常见问题解答和指南阅读工具，以及提交咨询的工具。服务器远程托管，已验证健康，包含9个工具。", "provider_name": "goji", "homepage_url": "https://goji.agency/", "endpoint_url": "https://mcp.goji.agency/mcp", "source_url": "https://github.com/goji-agency/goji-mcp", "icon_url": null, "cover_image_url": null, "capabilities": [ "information.search", "information.retrieve", "communication.enquiry" ], "categories": [ "collaboration", "search-research" ], "industries": [], "protocols": [ "mcp" ], "auth": { "type": "unknown", "source": "reviewed-source-metadata" }, "pricing": { "model": "unknown" }, "input_schema": {}, "output_schema": {}, "metadata": { "review_gate": { "passed": true, "reasons": [], "policy_version": "review-gate-v1", "evaluated_at": "2026-09-04T04:31:27.627Z" }, "official_registry": { "version": "1.0.1", "packages": [], "remotes": [] }, "catalog_profile": { "version": "catalog-profile-v1", "primary_category": "collaboration", "integrations": [ "GitHub" ], "use_cases": { "en": [ "Answer questions about AEO, SEO, web and brand based on GOJI's published content.", "Search GOJI's glossary, guides, and articles for specific terms and topics.", "Send an enquiry to GOJI's studio inbox." ], "zh": [ "基于GOJI已发布的内容，回答关于AEO、SEO、网站和品牌的问题。", "搜索GOJI的术语表、指南和文章，查找特定术语和主题。", "向GOJI的工作室收件箱发送咨询。" ] }, "categories": [ "collaboration", "search-research" ], "industries": [], "copy": { "source_language": "en", "summary_zh_state": "present", "description_zh_state": "present", "description_en_state": "present" } } }, "latest_version": "1.0.1", "status": "listed", "health_status": "healthy", "source_kind": "discovered", "source_agent": "registry.modelcontextprotocol.io", "trust": { "signal": "none", "reason": "No suspicious or malicious evidence.", "signals": { "yellow": 0, "red": 0 } }, "review_summary": { "method_version": "capability-evidence-v3", "capability_definition": "strong", "contract_completeness": "strong", "access_friction": "low", "operational_transparency": "strong", "evidence_strength": "protocol_inspected", "use_readiness": "ready_for_guidance", "reviewed_at": "2026-09-04T04:31:28.650Z" }, "experience_count": 0, "verified_experience_count": 0, "usage_count": 0, "success_rate": null, "first_seen_at": "2026-09-03T06:26:15.772Z", "last_seen_at": "2026-09-04T04:31:27.888Z", "published_at": "2026-09-03T06:26:15.772Z", "created_at": "2026-09-03T06:26:15.772Z", "updated_at": "2026-09-04T04:31:28.650Z", "api_url": "https://aiworkshub.io/api/v1/resources/RES_037D57BF0DAE", "reviews_url": "https://aiworkshub.io/api/v1/resources/RES_037D57BF0DAE/reviews", "public_url": "https://aiworkshub.io/resources/RES_037D57BF0DAE", "distribution": { "canonical_identity": "https://goji.agency/", "syndicatable": true } }, { "id": "RES_0289B2007EA8", "resource_type": "skill", "canonical_url": "https://github.com/K-Dense-AI/scientific-agent-skills/tree/1e5eeffbdad3749125afe7ab48a39694e27f181c/skills/lab-hardware-cad", "name": "lab-hardware-cad", "summary_en": "Design custom laboratory hardware as parametric build123d models and export fabrication-ready STEP, STL, and DXF files - microfluidic chips and molds, optomechanical mounts and breadboard adapters, cuvette and microplate holders, tube racks, animal-behavior rigs, and 3D-printed instrument fixtures. Use when a research task needs a physical part that must mate with standardized labware, an optical table, a cage system, or a printer, CNC, or laser process.", "summary_zh": "以参数化build123d模型设计定制实验室硬件，并导出STEP、STL、DXF等制造文件，适用于需与标准实验室器具配合的物理部件。", "description_en": "This skill provides a procedural workflow for designing custom laboratory hardware as parametric build123d models and exporting fabrication-ready STEP, STL, and DXF files. It covers microfluidic chips, optomechanical mounts, labware adapters, tube racks, behavior rigs, and 3D-printed fixtures. Use when a research task requires a physical part that must mate with standardized labware, optical tables, or fabrication processes. The skill enforces a structured workflow including interface dimension verification and geometric checks, and requires running only trusted model files.", "description_zh": "该技能提供了一套程序化工作流程，用于将定制实验室硬件设计为参数化build123d模型，并导出可用于制造的STEP、STL和DXF文件。涵盖微流控芯片、光机支架、实验室器具适配器、试管架、行为装置和3D打印夹具。当研究任务需要与标准化实验室器具、光学平台或制造工艺配合的物理部件时使用。该技能强制执行结构化工作流程，包括接口尺寸验证和几何检查，并要求仅运行受信任的模型文件。", "provider_name": "K-Dense-AI", "homepage_url": "https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/lab-hardware-cad", "endpoint_url": null, "source_url": "https://raw.githubusercontent.com/K-Dense-AI/scientific-agent-skills/1e5eeffbdad3749125afe7ab48a39694e27f181c/skills/lab-hardware-cad/SKILL.md", "icon_url": null, "cover_image_url": null, "capabilities": [ "object.action" ], "categories": [ "search-research" ], "industries": [ "agriculture" ], "protocols": [ "agent-skills" ], "auth": { "type": "none", "required": false }, "pricing": { "model": "free" }, "input_schema": {}, "output_schema": {}, "metadata": { "content_language": "en", "translation_status": "original-only", "license": { "spdx_id": "MIT", "source": "https://github.com/K-Dense-AI/scientific-agent-skills/blob/1e5eeffbdad3749125afe7ab48a39694e27f181c/LICENSE" }, "github": { "repository": "K-Dense-AI/scientific-agent-skills", "owner": "K-Dense-AI", "path": "skills/lab-hardware-cad/SKILL.md", "commit": "1e5eeffbdad3749125afe7ab48a39694e27f181c", "stars": 42124, "forks": 3870, "updated_at": "2026-09-03T02:47:03Z" }, "skill": { "compatibility": "Python 3.10-3.14 with build123d 0.11.1 and matplotlib for snapshots. Geometry commands require build123d; the standards lookup and the interface check run on the standard library alone. 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Use when making architectural decisions, changing public APIs, shipping features, or when you need to record context that future engineers and agents will need to understand the codebase.", "summary_zh": "记录架构决策与文档，适用于架构决策、公共API变更、功能发布及为未来工程师和代理记录代码库上下文时。", "description_en": "This Agent Skill provides guidance on recording decisions and documentation, including templates for Architecture Decision Records (ADRs), inline documentation, API documentation, README structure, changelog maintenance, and documentation for AI agents. It is intended for use when making architectural decisions, changing public APIs, shipping features, or when context is needed for future engineers and agents. The skill emphasizes capturing the 'why' behind decisions, not just the 'what'. 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The server exposes three tools for growth queries, time series, and top trends.", "description_zh": "该MCP服务器提供对YouTube搜索兴趣和随时间变化的趋势数据的访问，包括增长指标和实时热门榜单。它支持多种来源，如Google搜索、YouTube、TikTok、Reddit等。需要从trendsmcp.ai获取免费API密钥。服务器提供三个工具，分别用于增长查询、时间序列和热门趋势。", "provider_name": "ai.trendsmcp", "homepage_url": "https://trendsmcp.ai/", "endpoint_url": "https://youtube.api.trendsmcp.ai/mcp", "source_url": "https://github.com/trendsmcp-ai/youtube-trends-mcp", "icon_url": null, "cover_image_url": null, "capabilities": [ "data.retrieve", "data.analyze" ], "categories": [ "data-analytics", "search-research" ], "industries": [], "protocols": [ "mcp" ], "auth": { "type": "unknown" }, "pricing": { "model": "unknown" }, "input_schema": {}, "output_schema": {}, "metadata": { "content_language": "en", "translation_status": "luna-reviewed", "official_registry": { "version": "1.0.6", "packages": [], "remotes": [] }, "review_gate": { "passed": true, "reasons": [], "policy_version": "review-gate-v1", "evaluated_at": "2026-09-04T04:30:31.355Z" }, "catalog_profile": { "version": "catalog-profile-v1", "primary_category": "data-analytics", "integrations": [ "GitHub" ], "use_cases": { "en": [ "Track search interest and growth for keywords over time", "Retrieve historical time series data for charting and analysis", "Get live top-trending boards across multiple platforms" ], "zh": [ "追踪关键词随时间的搜索兴趣和增长", "获取历史时间序列数据用于图表和分析", "获取多个平台的实时热门榜单" ] }, "categories": [ "data-analytics", "search-research" ], "industries": [], "copy": { "source_language": "en", "summary_zh_state": "present", "description_zh_state": "present", "description_en_state": "present" } } }, "latest_version": "1.0.6", "status": "listed", "health_status": "healthy", "source_kind": "imported", "source_agent": "registry.modelcontextprotocol.io", "trust": { "signal": "none", "reason": null, "signals": { "yellow": 0, "red": 0 } }, "review_summary": { "method_version": "capability-evidence-v3", "capability_definition": "strong", "contract_completeness": "strong", "access_friction": "medium", "operational_transparency": "partial", "evidence_strength": "protocol_inspected", "use_readiness": "guided_use", "reviewed_at": "2026-09-04T04:30:32.358Z" }, "experience_count": 0, "verified_experience_count": 0, "usage_count": 0, "success_rate": null, "first_seen_at": "2026-09-03T13:55:08.738Z", "last_seen_at": "2026-09-04T04:30:31.597Z", "published_at": "2026-09-03T13:55:08.738Z", "created_at": "2026-09-03T13:55:08.738Z", "updated_at": "2026-09-04T04:30:32.358Z", "api_url": "https://aiworkshub.io/api/v1/resources/RES_0475E8CF263E", "reviews_url": "https://aiworkshub.io/api/v1/resources/RES_0475E8CF263E/reviews", "public_url": "https://aiworkshub.io/resources/RES_0475E8CF263E", "distribution": { "canonical_identity": "https://registry.modelcontextprotocol.io/v0.1/servers/YouTube%20Trends%20MCP/versions/1.0.6", "syndicatable": true } }, { "id": "RES_04D0E8DAAE68", "resource_type": "mcp_server", "canonical_url": "https://registry.modelcontextprotocol.io/v0.1/servers/Race%20Calendar%20F1/versions/4.0.1", "name": "Race Calendar F1", "summary_en": "Anonymous read-only Formula 1 tools, resources, prompts, completion, and interactive dashboard.", "summary_zh": "匿名只读的F1数据服务，提供赛程、积分、比赛结果、历史数据及赛道信息查询。", "description_en": "This MCP server provides anonymous read-only access to Formula 1 data, including season schedules, standings, session results, starting grids, race weekends, circuit details, historical race results, and a searchable history index. 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Use whenever the user has bulk RNA-seq reads or quant output and wants a complete, reproducible differential-expression workflow — e.g. \"analyze my RNA-seq\", \"FASTQ to DESeq2\", \"run nf-core/rnaseq\", \"STAR/Salmon quantification\", \"build a counts matrix for DESeq2\", or \"go from reads to differentially expressed genes and enriched pathways\". Routes between an nf-core/rnaseq (Nextflow) path and a standalone STAR/Salmon path, and covers experimental design, strandedness, and QC gates. For single-cell RNA-seq use the scanpy skill instead.", "summary_zh": "端到端批量RNA-seq分析编排，从FASTQ到差异表达与通路富集。", "description_en": "This skill orchestrates a complete bulk RNA-seq differential-expression workflow, from raw FASTQ reads through QC, trimming, alignment, and quantification to a gene-level counts matrix, then hands off to downstream skills for differential expression, pathway enrichment, and figure generation. 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Use for QC, normalization, dimensionality reduction (PCA/UMAP/t-SNE), clustering, differential expression, visualization, and converting R-friendly single-cell formats such as Seurat or SingleCellExperiment RDS files into h5ad for Scanpy. Best for exploratory scRNA-seq analysis with established workflows. For deep learning models use scvi-tools; for data format questions use anndata.", "summary_zh": "标准单细胞RNA-seq分析流程，涵盖质控、归一化、降维、聚类、差异表达及可视化，并支持将R格式数据转换为h5ad。", "description_en": "This Agent Skill provides a standard single-cell RNA-seq analysis pipeline using Scanpy, covering quality control, normalization, dimensionality reduction (PCA/UMAP/t-SNE), clustering, differential expression, visualization, and conversion of R-friendly single-cell formats (Seurat or SingleCellExperiment RDS files) to h5ad. It includes a CLI script toolkit for end-to-end and step-by-step workflows, reference documentation, and templates. The skill is intended for exploratory scRNA-seq analysis with established workflows; for deep learning models it directs users to scvi-tools, and for data format questions to anndata. 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It is suitable for applications that need weather data with Chinese language support. The server relies on the free Open-Meteo API with automatic fallback to wttr.in, and no API key is required.", "description_zh": "该MCP服务器提供全球城市的实时天气与多日预报，支持中文或英文城市名输入，并以中文返回结果。适用于需要中文天气数据的应用场景。服务器依赖免费的Open-Meteo API，并在网络异常时自动切换至wttr.in，无需API密钥。", "provider_name": "cn.pianam.mcp", "homepage_url": "https://github.com/boy-373/weather-mcp-china", "endpoint_url": "https://mcp.pianam.cn/weather-mcp/mcp", "source_url": "https://github.com/boy-373/weather-mcp-china", "icon_url": null, "cover_image_url": null, "capabilities": [ "weather.query" ], "categories": [ "search-research" ], "industries": [], "protocols": [ "mcp" ], "auth": { "type": "unknown" }, "pricing": { "model": "unknown" }, "input_schema": {}, "output_schema": {}, "metadata": { "content_language": "en", "translation_status": "luna-reviewed", "official_registry": { "version": "1.0.0", "packages": [], "remotes": [] }, "review_gate": { "passed": true, "reasons": [], "policy_version": "review-gate-v1", "evaluated_at": "2026-09-04T04:29:10.238Z" }, "catalog_profile": { "version": "catalog-profile-v1", "primary_category": "search-research", "integrations": [ "GitHub" ], "use_cases": { "en": [ "Query current weather and forecast for a city with Chinese name support.", "Retrieve multi-day weather forecasts for travel or event planning.", "Integrate Chinese-language weather data into applications." ], "zh": [ "查询支持中文城市名的实时天气与预报。", "获取多日天气预报，用于出行或活动规划。", "将中文天气数据集成到应用中。" ] }, "categories": [ "search-research" ], "industries": [], "copy": { "source_language": "en", "summary_zh_state": "present", "description_zh_state": "present", "description_en_state": "present" } } }, "latest_version": "1.0.0", "status": "listed", "health_status": "healthy", "source_kind": "imported", "source_agent": "registry.modelcontextprotocol.io", "trust": { "signal": "none", "reason": null, "signals": { "yellow": 0, "red": 0 } }, "review_summary": { "method_version": "capability-evidence-v3", "capability_definition": "strong", "contract_completeness": "strong", "access_friction": "low", "operational_transparency": "partial", "evidence_strength": "protocol_inspected", "use_readiness": "ready_for_guidance", "reviewed_at": "2026-09-04T04:29:11.152Z" }, "experience_count": 0, "verified_experience_count": 0, "usage_count": 0, "success_rate": null, "first_seen_at": "2026-09-03T13:58:34.246Z", "last_seen_at": "2026-09-04T04:29:10.460Z", "published_at": "2026-09-03T13:58:34.246Z", "created_at": "2026-09-03T13:58:34.246Z", "updated_at": "2026-09-04T04:29:11.152Z", "api_url": "https://aiworkshub.io/api/v1/resources/RES_0F5682D0ACDB", "reviews_url": "https://aiworkshub.io/api/v1/resources/RES_0F5682D0ACDB/reviews", "public_url": "https://aiworkshub.io/resources/RES_0F5682D0ACDB", "distribution": { "canonical_identity": "https://registry.modelcontextprotocol.io/v0.1/servers/Weather%20Forecast%20MCP/versions/1.0.0", "syndicatable": true } }, { "id": "RES_0F414B011252", "resource_type": "mcp_server", "canonical_url": "https://www.hood.ag/docs", "name": "hood. — .hood name service", "summary_en": "Resolve .hood names on Robinhood Chain — forward/reverse, text records, availability & pricing.", "summary_zh": "在 Robinhood Chain 上解析 .hood 名称，支持正向/反向解析、文本记录查询、可用性检查与定价信息。", "description_en": "This MCP server resolves .hood names on the Robinhood Chain. It provides forward and reverse resolution, text record lookup, availability checking, and full name information retrieval. The server is listed in the official MCP registry and exposes 5 tools via a streamable HTTP endpoint.", "description_zh": "该 MCP 服务器用于在 Robinhood Chain 上解析 .hood 名称。它提供正向和反向解析、文本记录查询、可用性检查以及完整的名称信息检索。该服务器已在官方 MCP 注册表中列出，并通过流式 HTTP 端点暴露 5 个工具。", "provider_name": "hood. — .hood name service", "homepage_url": "https://www.hood.ag/docs", "endpoint_url": "https://www.hood.ag/api/mcp", "source_url": "https://registry.modelcontextprotocol.io/v0.1/servers/ag.hood%2Fname-service/versions/0.1.0", "icon_url": null, "cover_image_url": null, "capabilities": [ "name.resolve", "name.reverse-resolve", "name.resolve-text", "name.check-availability", "name.info" ], "categories": [ "infrastructure" ], "industries": [], "protocols": [ "mcp" ], "auth": { "type": "unknown", "source": "reviewed-source-metadata" }, "pricing": { "model": "unknown" }, "input_schema": {}, "output_schema": {}, "metadata": { "review_gate": { "passed": true, "reasons": [], "policy_version": "review-gate-v1", "evaluated_at": "2026-09-04T04:28:57.310Z" }, "official_registry": { "name": "ag.hood/name-service", "version": "0.1.0", "status": "active", "schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json", "packages": [], "remotes": [ { "type": "streamable-http", "url": "https://www.hood.ag/api/mcp" } ] }, "catalog_profile": { "version": "catalog-profile-v1", "primary_category": "infrastructure", "integrations": [], "use_cases": { "en": [ "Resolve a .hood name to its associated wallet address.", "Look up text records (e.g., avatar, URL) for a .hood name.", "Check availability and pricing for registering a .hood name." ], "zh": [ "将 .hood 名称解析为关联的钱包地址。", "查询 .hood 名称的文本记录（如头像、网址）。", "检查注册 .hood 名称的可用性和价格。" ] }, "categories": [ "infrastructure" ], "industries": [], "copy": { "source_language": "en", "summary_zh_state": "present", "description_zh_state": "present", "description_en_state": "present" } } }, "latest_version": "0.1.0", "status": "listed", "health_status": "healthy", "source_kind": "discovered", "source_agent": "registry.modelcontextprotocol.io", "trust": { "signal": "none", "reason": null, "signals": { "yellow": 0, "red": 0 } }, "review_summary": { "method_version": "capability-evidence-v3", "capability_definition": "strong", "contract_completeness": "strong", "access_friction": "low", "operational_transparency": "partial", "evidence_strength": "protocol_inspected", "use_readiness": "ready_for_guidance", "reviewed_at": "2026-09-04T04:28:58.236Z" }, "experience_count": 0, "verified_experience_count": 0, "usage_count": 0, "success_rate": null, "first_seen_at": "2026-09-03T06:26:15.833Z", "last_seen_at": "2026-09-04T04:28:57.531Z", "published_at": "2026-09-03T06:26:15.833Z", "created_at": "2026-09-03T06:26:15.833Z", "updated_at": "2026-09-04T04:28:58.236Z", "api_url": "https://aiworkshub.io/api/v1/resources/RES_0F414B011252", "reviews_url": "https://aiworkshub.io/api/v1/resources/RES_0F414B011252/reviews", "public_url": "https://aiworkshub.io/resources/RES_0F414B011252", "distribution": { "canonical_identity": "https://www.hood.ag/docs", "syndicatable": true } }, { "id": "RES_0F40D77FCC11", "resource_type": "mcp_server", "canonical_url": "https://registry.modelcontextprotocol.io/v0.1/servers/kafka-redis-minio-stack-generator/versions/1.0.0", "name": "kafka-redis-minio-stack-generator", "summary_en": "Kafka + Redis + MinIO Stack Generator", "summary_zh": "生成多服务基础设施的Docker Compose配置，涵盖消息、存储、数据库等组件。", "description_en": "This MCP server generates a production-ready docker-compose.yml for a multi-service infrastructure stack, including messaging (Kafka/ZooKeeper, RabbitMQ, NATS), object storage (MinIO), search (Elasticsearch/OpenSearch), databases, caches, web servers, and auth (Keycloak/Vault). It is suitable for developers who need to scaffold a complete local or CI environment quickly. The server exposes two tools: 'invoke' for generating the compose file and 'selftest' for verifying capability. 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It provides 25 free conversions per month per network, after which a free API key is required. Some features like translation and table extraction are paid, with free previews.", "description_zh": "ChangeThisFile 是一个 MCP 服务器，提供超过1000种文件转换路线，以及文档翻译、表格提取为 Excel 和文件压缩功能。每个网络每月可免费转换25次，之后需要免费 API 密钥。翻译和表格提取等部分功能为付费服务，但提供免费预览。", "provider_name": "com.changethisfile", "homepage_url": "https://changethisfile.com/", "endpoint_url": "https://changethisfile.com/mcp", "source_url": "https://github.com/aadilr/changethisfile-mcp", "icon_url": null, "cover_image_url": null, "capabilities": [ "file.convert", "file.translate", "file.extract-tables", "file.compress" ], "categories": [ "data-analytics" ], "industries": [], "protocols": [ "mcp" ], "auth": { "type": "unknown" }, "pricing": { "model": "unknown" }, "input_schema": {}, "output_schema": {}, "metadata": { "content_language": "en", "translation_status": "luna-reviewed", "official_registry": { "version": "1.2.0", "packages": [], "remotes": [] }, "review_gate": { "passed": true, "reasons": [], "policy_version": "review-gate-v1", "evaluated_at": "2026-09-04T04:28:37.868Z" }, "catalog_profile": { "version": "catalog-profile-v1", "primary_category": "data-analytics", "integrations": [ "GitHub" ], "use_cases": { "en": [ "Convert files between formats", "Translate documents while preserving layout", "Extract tables from PDFs or images into Excel" ], "zh": [ "在不同格式之间转换文件", "翻译文档并保持原有布局", "从 PDF 或图片中提取表格到 Excel" ] }, "categories": [ "data-analytics" ], "industries": [], "copy": { "source_language": "en", "summary_zh_state": "present", "description_zh_state": "present", "description_en_state": "present" } } }, "latest_version": "1.2.0", "status": "listed", "health_status": "healthy", "source_kind": "imported", "source_agent": "registry.modelcontextprotocol.io", "trust": { "signal": "none", "reason": "No suspicious or malicious evidence.", "signals": { "yellow": 0, "red": 0 } }, "review_summary": { "method_version": "capability-evidence-v3", "capability_definition": "strong", "contract_completeness": "strong", "access_friction": "medium", "operational_transparency": "strong", "evidence_strength": "protocol_inspected", "use_readiness": "guided_use", "reviewed_at": "2026-09-04T04:28:38.810Z" }, "experience_count": 0, "verified_experience_count": 0, "usage_count": 0, "success_rate": null, "first_seen_at": "2026-09-03T14:01:59.713Z", "last_seen_at": "2026-09-04T04:28:38.101Z", "published_at": "2026-09-03T14:01:59.713Z", "created_at": "2026-09-03T14:01:59.713Z", "updated_at": "2026-09-04T04:28:38.810Z", "api_url": "https://aiworkshub.io/api/v1/resources/RES_0EB83797944C", "reviews_url": "https://aiworkshub.io/api/v1/resources/RES_0EB83797944C/reviews", "public_url": "https://aiworkshub.io/resources/RES_0EB83797944C", "distribution": { "canonical_identity": "https://registry.modelcontextprotocol.io/v0.1/servers/ChangeThisFile/versions/1.2.0", "syndicatable": true } }, { "id": "RES_0E9CED83E8A1", "resource_type": "skill", "canonical_url": "https://github.com/K-Dense-AI/scientific-agent-skills/tree/1e5eeffbdad3749125afe7ab48a39694e27f181c/skills/pytorch-lightning", "name": "pytorch-lightning", "summary_en": "Deep learning framework (PyTorch Lightning / lightning package). Organize PyTorch code into LightningModules, configure Trainers for multi-GPU/TPU, implement data pipelines, callbacks, logging (W&B, TensorBoard, MLflow), distributed training (DDP, FSDP, DeepSpeed), for scalable neural network training.", "summary_zh": "使用 PyTorch Lightning 组织代码、配置 Trainer 进行多 GPU/TPU 训练，实现数据管道、回调、日志和分布式训练，用于可扩展的神经网络训练。", "description_en": "This skill provides procedural knowledge for using PyTorch Lightning to structure and scale deep learning training. It covers organizing PyTorch code into LightningModules, configuring Trainers for multi-GPU/TPU training, implementing data pipelines with LightningDataModules, using callbacks, integrating experiment loggers (TensorBoard, W&B, MLflow, Comet, CSV), and applying distributed training strategies (DDP, FSDP, DeepSpeed). The skill includes templates and reference documentation for common patterns and best practices. 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The server requires authentication via a Bearer token and provides webhook management for booking events.", "description_zh": "Meet.bot MCP 支持AI原生的日程安排与预订。它可以查询可用时段、预订会议并分享预订链接。该服务器需要通过 Bearer 令牌进行身份验证，并提供用于预订事件的 Webhook 管理功能。", "provider_name": "bot.meet", "homepage_url": "https://mcp.meet.bot/", "endpoint_url": "https://mcp.meet.bot/", "source_url": "https://registry.modelcontextprotocol.io/v0.1/servers/Meet.bot%20MCP/versions/1.0.0", "icon_url": null, "cover_image_url": null, "capabilities": [ "scheduling.availability", "scheduling.booking", "webhook.management" ], "categories": [], "industries": [ "travel-hospitality" ], "protocols": [ "mcp" ], "auth": { "type": "unknown" }, "pricing": { "model": "unknown" }, "input_schema": {}, "output_schema": {}, "metadata": { "content_language": "en", "translation_status": "luna-reviewed", "official_registry": { "version": "1.0.0", "packages": [], "remotes": [] }, "review_gate": { "passed": true, "reasons": [], "policy_version": "review-gate-v1", "evaluated_at": "2026-09-04T04:28:14.812Z" }, "catalog_profile": { "version": "catalog-profile-v1", "primary_category": null, "integrations": [], "use_cases": { "en": [ "Check availability for a scheduling page", "Book a meeting slot", "Manage webhooks for booking events" ], "zh": [ "检查日程页面的可用时段", "预订会议时段", "管理预订事件的 Webhook" ] }, "categories": [], "industries": [ "travel-hospitality" ], "copy": { "source_language": "en", "summary_zh_state": "present", "description_zh_state": "present", "description_en_state": "present" } } }, "latest_version": "1.0.0", "status": "listed", "health_status": "healthy", "source_kind": "imported", "source_agent": "registry.modelcontextprotocol.io", "trust": { "signal": "none", "reason": "No suspicious or malicious evidence.", "signals": { "yellow": 0, "red": 0 } }, "review_summary": { "method_version": "capability-evidence-v3", "capability_definition": "strong", "contract_completeness": "strong", "access_friction": "medium", "operational_transparency": "partial", "evidence_strength": "protocol_inspected", "use_readiness": "guided_use", "reviewed_at": "2026-09-04T04:28:15.797Z" }, "experience_count": 0, "verified_experience_count": 0, "usage_count": 0, "success_rate": null, "first_seen_at": "2026-09-03T13:57:54.491Z", "last_seen_at": "2026-09-04T04:28:15.085Z", "published_at": "2026-09-03T13:57:54.491Z", "created_at": "2026-09-03T13:57:54.491Z", "updated_at": "2026-09-04T04:28:15.797Z", "api_url": "https://aiworkshub.io/api/v1/resources/RES_0E58FE1A08CA", "reviews_url": "https://aiworkshub.io/api/v1/resources/RES_0E58FE1A08CA/reviews", "public_url": "https://aiworkshub.io/resources/RES_0E58FE1A08CA", "distribution": { "canonical_identity": "https://registry.modelcontextprotocol.io/v0.1/servers/Meet.bot%20MCP/versions/1.0.0", "syndicatable": true } }, { "id": "RES_0E2E977A086F", "resource_type": "skill", "canonical_url": "https://github.com/K-Dense-AI/scientific-agent-skills/tree/1e5eeffbdad3749125afe7ab48a39694e27f181c/skills/neuropixels-analysis", "name": "neuropixels-analysis", "summary_en": "Analyze Neuropixels extracellular recordings end-to-end with SpikeInterface. Covers loading SpikeGLX/Open Ephys/NWB data, preprocessing, drift/motion correction, Kilosort4 (and CPU) spike sorting, quality metrics, and unit curation (threshold-based, model-based UnitRefine, and AI-assisted visual review). Use when working with Neuropixels 1.0/2.0 recordings, spike sorting, or extracellular electrophysiology analysis.", "summary_zh": "使用 SpikeInterface 端到端分析 Neuropixels 细胞外记录，涵盖预处理、尖峰排序、质量评估与单元筛选。", "description_en": "This skill provides a comprehensive workflow for analyzing Neuropixels extracellular recordings using SpikeInterface. It covers loading data from SpikeGLX, Open Ephys, and NWB formats; preprocessing; drift detection and motion correction; spike sorting with Kilosort4 and CPU alternatives; computing quality metrics; and unit curation via threshold-based, model-based, and AI-assisted methods. It requires Python 3.10+ and SpikeInterface dependencies, and is designed for Neuropixels 1.0 and 2.0 probes.", "description_zh": "该技能提供了使用 SpikeInterface 分析 Neuropixels 细胞外记录的综合工作流程。涵盖从 SpikeGLX、Open Ephys 和 NWB 格式加载数据；预处理；漂移检测和运动校正；使用 Kilosort4 及 CPU 替代方案进行尖峰排序；计算质量指标；以及通过基于阈值、基于模型和 AI 辅助的方法进行单元筛选。它需要 Python 3.10+ 和 SpikeInterface 依赖，专为 Neuropixels 1.0 和 2.0 探针设计。", "provider_name": "K-Dense-AI", "homepage_url": "https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/neuropixels-analysis", "endpoint_url": null, "source_url": "https://raw.githubusercontent.com/K-Dense-AI/scientific-agent-skills/1e5eeffbdad3749125afe7ab48a39694e27f181c/skills/neuropixels-analysis/SKILL.md", "icon_url": null, "cover_image_url": null, "capabilities": [ "data.analyze", "data.transform", "data.generate" ], "categories": [ "data-analytics" ], "industries": [], "protocols": [ "agent-skills" ], "auth": { "type": "none", "required": false }, "pricing": { "model": "free" }, "input_schema": {}, "output_schema": {}, "metadata": { "content_language": "en", "translation_status": "original-only", "license": { "spdx_id": "MIT", "source": "https://github.com/K-Dense-AI/scientific-agent-skills/blob/1e5eeffbdad3749125afe7ab48a39694e27f181c/LICENSE" }, "github": { "repository": "K-Dense-AI/scientific-agent-skills", "owner": "K-Dense-AI", "path": "skills/neuropixels-analysis/SKILL.md", "commit": "1e5eeffbdad3749125afe7ab48a39694e27f181c", "stars": 42124, "forks": 3870, "updated_at": "2026-09-03T02:47:03Z" }, "skill": { "compatibility": null, "allowed_tools": null, "content_hash": "3eadefe63c2724f5be4e981e07d818a9c9f8daada26ed3e587feeb5e9455b6fb", "line_count": 430 }, "review_gate": { "passed": true, "reasons": [], "policy_version": "review-gate-v1", "evaluated_at": "2026-09-04T04:27:59.408Z" }, "catalog_profile": { "version": "catalog-profile-v1", "primary_category": "data-analytics", "integrations": [ "GitHub" ], "use_cases": { "en": [ "Load and preprocess Neuropixels recordings from SpikeGLX, Open Ephys, or NWB formats.", "Perform spike sorting with Kilosort4 or CPU alternatives and compute quality metrics.", "Curate units using threshold-based, model-based, or AI-assisted methods." ], "zh": [ "从 SpikeGLX、Open Ephys 或 NWB 格式加载并预处理 Neuropixels 记录。", "使用 Kilosort4 或 CPU 替代方案进行尖峰排序并计算质量指标。", "使用基于阈值、基于模型或 AI 辅助的方法筛选单元。" ] }, "categories": [ "data-analytics" ], "industries": [], "copy": { "source_language": "en", "summary_zh_state": "present", "description_zh_state": "present", "description_en_state": "present" } } }, "latest_version": "1e5eeffbdad3", "status": "listed", "health_status": "unknown", "source_kind": "imported", "source_agent": "aiworkshub-skill-reviewer", "trust": { "signal": "none", "reason": "No suspicious or malicious evidence.", "signals": { "yellow": 0, "red": 0 } }, "review_summary": { "method_version": "capability-evidence-v3", "capability_definition": "strong", "contract_completeness": "strong", "access_friction": "low", "operational_transparency": "strong", "evidence_strength": "source_inspected", "use_readiness": "ready_for_guidance", "reviewed_at": "2026-09-04T04:28:00.322Z" }, "experience_count": 0, "verified_experience_count": 0, "usage_count": 0, "success_rate": null, "first_seen_at": "2026-09-03T02:50:44.193Z", "last_seen_at": "2026-09-04T04:27:59.628Z", "published_at": "2026-09-03T06:24:25.270Z", "created_at": "2026-09-03T02:50:44.193Z", "updated_at": "2026-09-04T04:28:00.322Z", "api_url": "https://aiworkshub.io/api/v1/resources/RES_0E2E977A086F", "reviews_url": "https://aiworkshub.io/api/v1/resources/RES_0E2E977A086F/reviews", "public_url": "https://aiworkshub.io/resources/RES_0E2E977A086F", "distribution": { "canonical_identity": "https://github.com/K-Dense-AI/scientific-agent-skills/tree/1e5eeffbdad3749125afe7ab48a39694e27f181c/skills/neuropixels-analysis", "syndicatable": true } }, { "id": "RES_00071EE04EBB", "resource_type": "skill", "canonical_url": "https://github.com/K-Dense-AI/scientific-agent-skills/tree/1e5eeffbdad3749125afe7ab48a39694e27f181c/skills/omero-integration", "name": "omero-integration", "summary_en": "Securely inspect and automate microscopy data workflows against OMERO.server with omero-py, BlitzGateway, OMERO CLI, tables, annotations, ROIs, rendering, and documented OMERO.web APIs. Use for scoped OMERO inventory, metadata export, import/export planning, or reviewed write workflows.", "summary_zh": "安全地检查并自动化OMERO.server显微镜数据工作流，支持元数据导出、导入导出规划及经审查的写入操作。", "description_en": "This Agent Skill provides a procedural guide for interacting with OMERO.server, a microscopy data management platform. It covers secure connection practices, data inspection, metadata export, and planning of import/export operations. The skill emphasizes bounded operations, credential safety, and use of documented APIs and client libraries. It includes bundled helper scripts for validation, inventory, metadata export, and transfer planning, all designed to be safe and require explicit execution for remote operations.", "description_zh": "该Agent技能提供了与OMERO.server（显微镜数据管理平台）交互的程序性指南。涵盖安全连接实践、数据检查、元数据导出以及导入/导出操作的规划。技能强调有界操作、凭据安全以及使用文档化的API和客户端库。它包含用于验证、清单、元数据导出和传输规划的捆绑辅助脚本，这些脚本设计为安全，并要求显式执行远程操作。", "provider_name": "K-Dense-AI", "homepage_url": "https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/omero-integration", "endpoint_url": null, "source_url": "https://raw.githubusercontent.com/K-Dense-AI/scientific-agent-skills/1e5eeffbdad3749125afe7ab48a39694e27f181c/skills/omero-integration/SKILL.md", "icon_url": null, "cover_image_url": null, "capabilities": [ "data.read", "data.write", "data.export", "data.import", "data.inventory", "data.metadata", "data.rendering", "data.roi", "data.table", "data.annotation", "data.connection", "data.security", "data.planning" ], "categories": [ "data-analytics" ], "industries": [ "health" ], "protocols": [ "agent-skills" ], "auth": { "type": "none", "required": false }, "pricing": { "model": "free" }, "input_schema": {}, "output_schema": {}, "metadata": { "content_language": "en", "translation_status": "original-only", "license": { "spdx_id": "MIT", "source": "https://github.com/K-Dense-AI/scientific-agent-skills/blob/1e5eeffbdad3749125afe7ab48a39694e27f181c/LICENSE" }, "github": { "repository": "K-Dense-AI/scientific-agent-skills", "owner": "K-Dense-AI", "path": "skills/omero-integration/SKILL.md", "commit": "1e5eeffbdad3749125afe7ab48a39694e27f181c", "stars": 42124, "forks": 3870, "updated_at": "2026-09-03T02:47:03Z" }, "skill": { "compatibility": ">-", "allowed_tools": null, "content_hash": "242ba431ebc6d04d06b9e37ee370896e3339bcd0a0e69186d8693ad058a9515d", "line_count": 240 }, "review_gate": { "passed": true, "reasons": [], "policy_version": "review-gate-v1", "evaluated_at": "2026-09-04T04:26:49.101Z" }, "catalog_profile": { "version": "catalog-profile-v1", "primary_category": "data-analytics", "integrations": [ "GitHub" ], "use_cases": { "en": [ "Inspect microscopy data inventories and metadata on OMERO.server", "Export image metadata and annotations in a bounded, read-only manner", "Plan import/export operations with local dry-run helpers" ], "zh": [ "在OMERO.server上检查显微镜数据清单和元数据", "以有界、只读方式导出图像元数据和注释", "使用本地试运行助手规划导入/导出操作" ] }, "categories": [ "data-analytics" ], "industries": [ "health" ], "copy": { "source_language": "en", "summary_zh_state": "present", "description_zh_state": "present", "description_en_state": "present" } } }, "latest_version": "1e5eeffbdad3", "status": "listed", "health_status": "unknown", "source_kind": "imported", "source_agent": "aiworkshub-skill-reviewer", "trust": { "signal": "none", "reason": null, "signals": { "yellow": 0, "red": 0 } }, "review_summary": { "method_version": "capability-evidence-v3", "capability_definition": "strong", "contract_completeness": "strong", "access_friction": "low", "operational_transparency": "strong", "evidence_strength": "source_inspected", "use_readiness": "guided_use", "reviewed_at": "2026-09-04T04:26:50.147Z" }, "experience_count": 0, "verified_experience_count": 0, "usage_count": 0, "success_rate": null, "first_seen_at": "2026-09-03T02:50:44.199Z", "last_seen_at": "2026-09-04T04:26:49.364Z", "published_at": "2026-09-03T06:25:41.697Z", "created_at": "2026-09-03T02:50:44.199Z", "updated_at": "2026-09-04T04:26:50.147Z", "api_url": "https://aiworkshub.io/api/v1/resources/RES_00071EE04EBB", "reviews_url": "https://aiworkshub.io/api/v1/resources/RES_00071EE04EBB/reviews", "public_url": "https://aiworkshub.io/resources/RES_00071EE04EBB", "distribution": { "canonical_identity": "https://github.com/K-Dense-AI/scientific-agent-skills/tree/1e5eeffbdad3749125afe7ab48a39694e27f181c/skills/omero-integration", "syndicatable": true } }, { "id": "RES_000EB40E71DE", "resource_type": "skill", "canonical_url": "https://github.com/K-Dense-AI/scientific-agent-skills/tree/1e5eeffbdad3749125afe7ab48a39694e27f181c/skills/polars-bio", "name": "polars-bio", "summary_en": "High-performance genomic interval operations and bioinformatics file I/O on Polars DataFrames. Overlap, nearest, merge, coverage, complement, subtract for BED/VCF/BAM/GFF intervals. Streaming, cloud-native, faster bioframe alternative.", "summary_zh": "基于Polars的高性能基因组区间操作与生物信息学文件读写技能，支持流式处理与云存储。", "description_en": "This skill provides high-performance genomic interval operations (overlap, nearest, merge, coverage, complement, subtract) and bioinformatics file I/O (BED, VCF, BAM, CRAM, GFF/GTF, FASTA, FASTQ, SAM) on Polars DataFrames. It supports streaming/out-of-core processing, cloud-native file I/O (S3, GCS, Azure), and SQL queries via DataFusion. Use it for large-scale genomic data analysis that requires speed and scalability. Requires Python 3.11-3.14 and the polars-bio library.", "description_zh": "该技能提供基于Polars DataFrame的高性能基因组区间操作（overlap、nearest、merge、coverage、complement、subtract）和生物信息学文件读写（BED、VCF、BAM、CRAM、GFF/GTF、FASTA、FASTQ、SAM）。支持流式/核外处理、云原生文件I/O（S3、GCS、Azure）以及通过DataFusion的SQL查询。适用于需要速度和可扩展性的大规模基因组数据分析。需要Python 3.11-3.14和polars-bio库。", "provider_name": "K-Dense-AI", "homepage_url": "https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/polars-bio", "endpoint_url": null, "source_url": "https://raw.githubusercontent.com/K-Dense-AI/scientific-agent-skills/1e5eeffbdad3749125afe7ab48a39694e27f181c/skills/polars-bio/SKILL.md", "icon_url": null, "cover_image_url": null, "capabilities": [ "genomic.interval.operations", "bioinformatics.file.io", "data.sql.query", "data.streaming.processing", "data.cloud.io" ], "categories": [ "data-analytics" ], "industries": [ "health" ], "protocols": [ "agent-skills" ], "auth": { "type": "none", "required": false }, "pricing": { "model": "free" }, "input_schema": {}, "output_schema": {}, "metadata": { "content_language": "en", "translation_status": "original-only", "license": { "spdx_id": "Apache-2.0", "source": "https://github.com/K-Dense-AI/scientific-agent-skills/blob/1e5eeffbdad3749125afe7ab48a39694e27f181c/LICENSE" }, "github": { "repository": "K-Dense-AI/scientific-agent-skills", "owner": "K-Dense-AI", "path": "skills/polars-bio/SKILL.md", "commit": "1e5eeffbdad3749125afe7ab48a39694e27f181c", "stars": 42124, "forks": 3870, "updated_at": "2026-09-03T02:47:03Z" }, "skill": { "compatibility": "Requires Python 3.11–3.14 and polars-bio (uv pip install). Cloud I/O uses standard AWS/GCS/Azure SDK env vars when paths use s3://, gs://, or az:// URIs.", "allowed_tools": "Read Write Edit Bash", "content_hash": "2dd655de40d2ba1debacb136cfb1df22d4c22246142ba316b418b3b6a5ca9a09", "line_count": 397 }, "review_gate": { "passed": true, "reasons": [], "policy_version": "review-gate-v1", "evaluated_at": "2026-09-04T04:26:48.509Z" }, "catalog_profile": { "version": "catalog-profile-v1", "primary_category": "data-analytics", "integrations": [ "GitHub" ], "use_cases": { "en": [ "Perform genomic interval operations such as overlap, nearest, and merge on large datasets.", "Read and write bioinformatics file formats including BED, VCF, BAM, and GFF.", "Run SQL queries on genomic data files using DataFusion." ], "zh": [ "对大规模数据集执行基因组区间操作，如overlap、nearest和merge。", "读写生物信息学文件格式，包括BED、VCF、BAM和GFF。", "使用DataFusion对基因组数据文件运行SQL查询。" ] }, "categories": [ "data-analytics" ], "industries": [ "health" ], "copy": { "source_language": "en", "summary_zh_state": "present", "description_zh_state": "present", "description_en_state": "present" } } }, "latest_version": "1e5eeffbdad3", "status": "listed", "health_status": "unknown", "source_kind": "imported", "source_agent": "aiworkshub-skill-reviewer", "trust": { "signal": "none", "reason": null, "signals": { "yellow": 0, "red": 0 } }, "review_summary": { "method_version": "capability-evidence-v3", "capability_definition": "strong", "contract_completeness": "strong", "access_friction": "low", "operational_transparency": "strong", "evidence_strength": "source_inspected", "use_readiness": "ready_for_guidance", "reviewed_at": "2026-09-04T04:26:49.463Z" }, "experience_count": 0, "verified_experience_count": 0, "usage_count": 0, "success_rate": null, "first_seen_at": "2026-09-03T02:50:48.846Z", "last_seen_at": "2026-09-04T04:26:48.736Z", "published_at": "2026-09-03T06:25:39.569Z", "created_at": "2026-09-03T02:50:48.846Z", "updated_at": "2026-09-04T04:26:49.463Z", "api_url": "https://aiworkshub.io/api/v1/resources/RES_000EB40E71DE", "reviews_url": "https://aiworkshub.io/api/v1/resources/RES_000EB40E71DE/reviews", "public_url": "https://aiworkshub.io/resources/RES_000EB40E71DE", "distribution": { "canonical_identity": "https://github.com/K-Dense-AI/scientific-agent-skills/tree/1e5eeffbdad3749125afe7ab48a39694e27f181c/skills/polars-bio", "syndicatable": true } }, { "id": "RES_053458D23233", "resource_type": "mcp_server", "canonical_url": "https://registry.modelcontextprotocol.io/v0.1/servers/switch/versions/1.0.0", "name": "switch", "summary_en": "Generate, manage and explore your Switch AI image and video library, scoped to your account.", "summary_zh": "管理并生成 Switch AI 图像与视频库，支持账户内媒体资产的搜索、展示与组织。", "description_en": "This MCP server lets you generate, manage, and explore your Switch AI image and video library, scoped to your account. It provides tools to browse models, check spending, list and search assets, and display images inline. 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Use when working with Swift files or packages and you need a compact API overview (`analyze` in interface/json/yaml/markdown), fast syntax validation (`check`), indentation cleanup with spaces or tabs (`reindent`), or to split l", "summary_zh": "使用 SwiftButler 命令行工具分析、语法检查、重新缩进和分发 Swift 源代码，适用于处理 Swift 文件或包时的代码整理与验证。", "description_en": "SwiftButler is a command-line tool that uses SwiftSyntax to parse Swift code into syntax trees, enabling analysis, syntax checking, reindentation, and distribution of Swift source code. It is suitable for developers working with Swift files or packages who need to obtain a compact API overview, validate syntax, clean up indentation, or split large codebases into smaller, more manageable parts. 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Authentication is not required, and the endpoint is publicly accessible.", "description_zh": "该MCP服务器提供IPv4地址归属地查询，返回国家、省份、城市、经纬度、时区、运营商及ASN信息。适用于需要IP位置增强的应用。服务器使用ip-api.com作为主要数据源，并自动切换至ipwho.is作为备用。无需认证，端点可公开访问。", "provider_name": "cn.pianam.mcp", "homepage_url": "https://github.com/boy-373/ip-location-mcp", "endpoint_url": "https://mcp.pianam.cn/ip-mcp/mcp", "source_url": "https://github.com/boy-373/ip-location-mcp", "icon_url": null, "cover_image_url": null, "capabilities": [ "ip.geolocate" ], "categories": [ "data-analytics" ], "industries": [], "protocols": [ "mcp" ], "auth": { "type": "unknown" }, "pricing": { "model": "unknown" }, "input_schema": {}, "output_schema": {}, "metadata": { "content_language": "en", "translation_status": "luna-reviewed", "official_registry": { "version": "1.0.0", "packages": [], "remotes": [] }, "review_gate": { "passed": true, "reasons": [], "policy_version": "review-gate-v1", "evaluated_at": "2026-09-04T03:54:17.389Z" }, "catalog_profile": { "version": "catalog-profile-v1", "primary_category": "data-analytics", "integrations": [ "GitHub" ], "use_cases": { "en": [ "Enrich user or network logs with IP geolocation data", "Determine the geographic origin of an IP address for analytics or security" ], "zh": [ "为用户或网络日志补充IP地理位置数据", "确定IP地址的地理来源，用于分析或安全" ] }, "categories": [ "data-analytics" ], "industries": [], "copy": { "source_language": "en", "summary_zh_state": "present", "description_zh_state": "present", "description_en_state": "present" } } }, "latest_version": "1.0.0", "status": "listed", "health_status": "healthy", "source_kind": "imported", "source_agent": "registry.modelcontextprotocol.io", "trust": { "signal": "none", "reason": null, "signals": { "yellow": 0, "red": 0 } }, "review_summary": { "method_version": "capability-evidence-v3", "capability_definition": "strong", "contract_completeness": "strong", "access_friction": "low", "operational_transparency": "partial", "evidence_strength": "protocol_inspected", "use_readiness": "ready_for_guidance", "reviewed_at": "2026-09-04T03:54:18.269Z" }, "experience_count": 0, "verified_experience_count": 0, "usage_count": 0, "success_rate": null, "first_seen_at": "2026-09-03T13:58:33.008Z", "last_seen_at": "2026-09-04T03:54:17.609Z", "published_at": "2026-09-03T13:58:33.008Z", "created_at": "2026-09-03T13:58:33.008Z", "updated_at": "2026-09-04T03:54:18.269Z", "api_url": "https://aiworkshub.io/api/v1/resources/RES_07C3F8D04513", "reviews_url": "https://aiworkshub.io/api/v1/resources/RES_07C3F8D04513/reviews", "public_url": "https://aiworkshub.io/resources/RES_07C3F8D04513", "distribution": { "canonical_identity": "https://registry.modelcontextprotocol.io/v0.1/servers/IP%20Location%20MCP/versions/1.0.0", "syndicatable": true } }, { "id": "RES_0735E9F89ED0", "resource_type": "mcp_server", "canonical_url": "https://registry.modelcontextprotocol.io/v0.1/servers/Hermitsh%20Texts/versions/0.5.1", "name": "Hermitsh Texts", "summary_en": "Complete classical & world literature — search + cite exact passages, facing sources, 50+ languages.", "summary_zh": "古典与世界文学全文检索、引用与平行文本研究工具。", "description_en": "Hermitsh Texts provides access to classical and world literature corpora, enabling search and retrieval of exact passages with source URLs, citation formatting, parallel source-language/translation alignment, and entity/cross-reference exploration. It is suited for research, scholarly citation, and AI persona work grounded in source-linked evidence. Access requires an MCP endpoint; authentication and pricing are not disclosed.", "description_zh": "Hermitsh Texts 提供古典及世界文学语料库的访问，支持精确段落检索并附带来源链接、引文格式化、源语言与译文平行对照，以及实体和交叉引用探索。适用于研究、学术引用及基于来源证据的 AI 角色扮演。需通过 MCP 端点访问；认证与定价信息未公开。", "provider_name": "ai.hermitsh", "homepage_url": "https://hermitsh.ai/texts/", "endpoint_url": "https://hermitsh.ai/mcp", "source_url": "https://registry.modelcontextprotocol.io/v0.1/servers/Hermitsh%20Texts/versions/0.5.1", "icon_url": null, "cover_image_url": null, "capabilities": [ "literature.search", "literature.retrieve", "literature.cite", "literature.parallel-text", "entity.search" ], "categories": [ "search-research" ], "industries": [ "education" ], "protocols": [ "mcp" ], "auth": { "type": "unknown" }, "pricing": { "model": "unknown" }, "input_schema": {}, "output_schema": {}, "metadata": { "content_language": "en", "translation_status": "luna-reviewed", "official_registry": { "version": "0.5.1", "packages": [], "remotes": [] }, "review_gate": { "passed": true, "reasons": [], "policy_version": "review-gate-v1", "evaluated_at": "2026-09-04T03:53:56.715Z" }, "catalog_profile": { "version": "catalog-profile-v1", "primary_category": "search-research", "integrations": [], "use_cases": { "en": [ "Search classical literature passages with source links for citation.", "Retrieve parallel source-language and translation texts for study.", "Explore entities and cross-references within an author's corpus." ], "zh": [ "检索古典文学段落并附来源链接以供引用。", "获取源语言与译文的平行文本用于研究。", "探索作者语料库中的实体和交叉引用。" ] }, "categories": [ "search-research" ], "industries": [ "education" ], "copy": { "source_language": "en", "summary_zh_state": "present", "description_zh_state": "present", "description_en_state": "present" } } }, "latest_version": "0.5.1", "status": "listed", "health_status": "healthy", "source_kind": "imported", "source_agent": "registry.modelcontextprotocol.io", "trust": { "signal": "none", "reason": "No suspicious or malicious evidence.", "signals": { "yellow": 0, "red": 0 } }, "review_summary": { "method_version": "capability-evidence-v3", "capability_definition": "strong", "contract_completeness": "strong", "access_friction": "low", "operational_transparency": "partial", "evidence_strength": "protocol_inspected", "use_readiness": "ready_for_guidance", "reviewed_at": "2026-09-04T03:53:57.879Z" }, "experience_count": 0, "verified_experience_count": 0, "usage_count": 0, "success_rate": null, "first_seen_at": "2026-09-03T13:51:46.015Z", "last_seen_at": "2026-09-04T03:53:57.018Z", "published_at": "2026-09-03T13:51:46.015Z", "created_at": "2026-09-03T13:51:46.015Z", "updated_at": "2026-09-04T03:53:57.879Z", "api_url": "https://aiworkshub.io/api/v1/resources/RES_0735E9F89ED0", "reviews_url": "https://aiworkshub.io/api/v1/resources/RES_0735E9F89ED0/reviews", "public_url": "https://aiworkshub.io/resources/RES_0735E9F89ED0", "distribution": { "canonical_identity": "https://registry.modelcontextprotocol.io/v0.1/servers/Hermitsh%20Texts/versions/0.5.1", "syndicatable": true } }, { "id": "RES_071FCC752C1E", "resource_type": "mcp_server", "canonical_url": "https://registry.modelcontextprotocol.io/v0.1/servers/APICK%20OCR/versions/1.2.0", "name": "APICK OCR", "summary_en": "OCR for images and Korean ID documents", "summary_zh": "提供图像及韩国身份证件（居民登记证、驾照、护照等）的OCR文本提取服务。", "description_en": "APICK OCR is an MCP server that extracts text from images and Korean identity documents. It provides a general OCR tool for arbitrary images and five specialized tools for Korean resident registration cards, driver licenses, passports, resident registration copies, and alien registration cards. All tools require an HTTPS image URL and return structured fields plus raw text. Use only with legal consent for identity documents.", "description_zh": "APICK OCR 是一个 MCP 服务器，可从图像和韩国身份证件中提取文本。它提供一个通用 OCR 工具，以及五个专用工具，分别用于韩国居民登记证、驾照、护照、居民登记副本和外国人登记证。所有工具都需要 HTTPS 图像 URL，并返回结构化字段和原始文本。处理身份证件时，仅在获得合法同意的情况下使用。", "provider_name": "app.apick", "homepage_url": "https://apick.app/dev_guide/mcp", "endpoint_url": "https://apick.app/mcp/ocr", "source_url": "https://github.com/lead788/apick-mcp", "icon_url": null, "cover_image_url": null, "capabilities": [ "image.ocr", "document.identity-extraction" ], "categories": [ "data-analytics" ], "industries": [ "legal" ], "protocols": [ "mcp" ], "auth": { "type": "unknown" }, "pricing": { "model": "unknown" }, "input_schema": {}, "output_schema": {}, "metadata": { "content_language": "en", "translation_status": "luna-reviewed", "official_registry": { "version": "1.2.0", "packages": [], "remotes": [] }, "review_gate": { "passed": true, "reasons": [], "policy_version": "review-gate-v1", "evaluated_at": "2026-09-04T03:53:30.540Z" }, "catalog_profile": { "version": "catalog-profile-v1", "primary_category": "data-analytics", "integrations": [ "GitHub" ], "use_cases": { "en": [ "Extract text from general images (photos, scans, screenshots).", "Extract structured fields from Korean identity documents (resident card, driver license, passport, etc.)." ], "zh": [ "从通用图像（照片、扫描件、截图）中提取文本。", "从韩国身份证件（居民登记证、驾照、护照等）中提取结构化字段。" ] }, "categories": [ "data-analytics" ], "industries": [ "legal" ], "copy": { "source_language": "en", "summary_zh_state": "present", "description_zh_state": "present", "description_en_state": "present" } } }, "latest_version": "1.2.0", "status": "listed", "health_status": "healthy", "source_kind": "imported", "source_agent": "registry.modelcontextprotocol.io", "trust": { "signal": "none", "reason": null, "signals": { "yellow": 0, "red": 0 } }, "review_summary": { "method_version": "capability-evidence-v3", "capability_definition": "strong", "contract_completeness": "strong", "access_friction": "low", "operational_transparency": "partial", "evidence_strength": "protocol_inspected", "use_readiness": "conditional", "reviewed_at": "2026-09-04T03:53:31.592Z" }, "experience_count": 0, "verified_experience_count": 0, "usage_count": 0, "success_rate": null, "first_seen_at": "2026-09-03T13:55:54.944Z", "last_seen_at": "2026-09-04T03:53:30.806Z", "published_at": "2026-09-03T13:55:54.944Z", "created_at": "2026-09-03T13:55:54.944Z", "updated_at": "2026-09-04T03:53:31.592Z", "api_url": "https://aiworkshub.io/api/v1/resources/RES_071FCC752C1E", "reviews_url": "https://aiworkshub.io/api/v1/resources/RES_071FCC752C1E/reviews", "public_url": "https://aiworkshub.io/resources/RES_071FCC752C1E", "distribution": { "canonical_identity": "https://registry.modelcontextprotocol.io/v0.1/servers/APICK%20OCR/versions/1.2.0", "syndicatable": true } }, { "id": "RES_064D8E8C707C", "resource_type": "skill", "canonical_url": "https://github.com/wsbm393/Fable-Skill", "name": "executing-hard-tasks", "summary_en": "Decompose hard tasks risk-first and verify with evidence.", "summary_zh": "将复杂任务按风险优先级分解，并以可验证的证据指导后续决策。", "description_en": "This skill guides an AI agent to decompose hard tasks by prioritizing risks and to verify progress with concrete, pasteable evidence before deciding next steps. It is designed for use within agent workflows that handle complex, multi-step objectives. The skill is distributed as a GitHub repository under the MIT license and requires no authentication or payment.", "description_zh": "该技能指导AI代理按风险优先级分解复杂任务，并使用具体、可粘贴的证据验证进展后再决定后续步骤。它适用于处理多步骤复杂目标的代理工作流。该技能以MIT许可证在GitHub上分发，无需认证或付费。", "provider_name": "wsbm393", "homepage_url": "https://github.com/wsbm393/Fable-Skill", "endpoint_url": null, "source_url": "https://github.com/wsbm393/Fable-Skill/blob/4d52fa3d8940e958ba4a915a404b1be16523e06a/SKILL.md", "icon_url": null, "cover_image_url": null, "capabilities": [ "task.decompose", "task.verify" ], "categories": [ "agent-automation", "finance-payments", "software-development" ], "industries": [ "finance" ], "protocols": [ "agent-skills" ], "auth": { "type": "none", "required": false }, "pricing": { "model": "free" }, "input_schema": {}, "output_schema": {}, "metadata": { "content_language": "en", "translation_status": "ai-translated", "license": { "spdx_id": "MIT" }, "github": { "repository": "wsbm393/Fable-Skill", "path": "SKILL.md", "commit": "4d52fa3d8940e958ba4a915a404b1be16523e06a", "stars": 25, "updated_at": "2026-07-18T18:52:41Z" }, "skill": { "content_hash": "b6a15efcbe5644799aa43f64dc230c95a25c60f02a9de2c0565795358d701d1f" }, "review_gate": { "passed": true, "reasons": [], "policy_version": "review-gate-v1", "evaluated_at": "2026-09-04T03:52:59.655Z" }, "catalog_profile": { "version": "catalog-profile-v1", "primary_category": "agent-automation", "integrations": [ "GitHub" ], "use_cases": { "en": [ "Decompose complex tasks into risk-prioritized subtasks.", "Verify progress with concrete evidence before proceeding." ], "zh": [ "将复杂任务分解为按风险排序的子任务。", "在继续之前用具体证据验证进展。" ] }, "categories": [ "agent-automation", "finance-payments", "software-development" ], "industries": [ "finance" ], "copy": { "source_language": "en", "summary_zh_state": "present", "description_zh_state": "present", "description_en_state": "present" } } }, "latest_version": "4d52fa3d8940", "status": "listed", "health_status": "unknown", "source_kind": "imported", "source_agent": "aiworkshub-skill-reviewer", "trust": { "signal": "none", "reason": "No suspicious or malicious evidence.", "signals": { "yellow": 0, "red": 0 } }, "review_summary": { "method_version": "capability-evidence-v3", "capability_definition": "partial", "contract_completeness": "natural_language", "access_friction": "low", "operational_transparency": "weak", "evidence_strength": "source_inspected", "use_readiness": "guided_use", "reviewed_at": "2026-09-04T03:53:00.635Z" }, "experience_count": 0, "verified_experience_count": 0, "usage_count": 0, "success_rate": null, "first_seen_at": "2026-09-03T12:10:55.873Z", "last_seen_at": "2026-09-04T03:52:59.954Z", "published_at": "2026-09-03T12:10:55.873Z", "created_at": "2026-09-03T12:10:55.873Z", "updated_at": "2026-09-04T03:53:00.635Z", "api_url": "https://aiworkshub.io/api/v1/resources/RES_064D8E8C707C", "reviews_url": "https://aiworkshub.io/api/v1/resources/RES_064D8E8C707C/reviews", "public_url": "https://aiworkshub.io/resources/RES_064D8E8C707C", "distribution": { "canonical_identity": "https://github.com/wsbm393/Fable-Skill", "syndicatable": true } }, { "id": "RES_063F44C271CF", "resource_type": "mcp_server", "canonical_url": "https://registry.modelcontextprotocol.io/v0.1/servers/Cycle%20Intelligence/versions/1.0.0", "name": "Cycle Intelligence", "summary_en": "EU Digital Product Passport (DPP/ESPR) requirements, product readiness scoring and GS1 validation.", "summary_zh": "面向欧盟数字产品护照（DPP/ESPR）合规检查、产品就绪度评分及GS1标识验证的MCP服务器。", "description_en": "This MCP server provides tools to check EU Digital Product Passport (DPP/ESPR) regulatory requirements and timelines, validate product catalogue readiness against the ESPR mandatory field set, and verify GS1 identifiers (GTIN/EAN and Digital Link URLs). It also offers tools to create product twins, issue conformant DPPs, and generate GS1 data carriers, but these require an organisation API key. The read-only tools are deterministic and require no account.", "description_zh": "该MCP服务器提供工具，用于查询欧盟数字产品护照（DPP/ESPR）的法规要求和时间表，根据ESPR强制字段集验证产品目录的就绪度，并验证GS1标识符（GTIN/EAN和Digital Link URL）。它还提供创建产品孪生、签发合规DPP和生成GS1数据载体的工具，但这些需要组织API密钥。只读工具是确定性的，无需账户。", "provider_name": "com.cycle-platform", "homepage_url": "https://www.cycle-platform.com/open", "endpoint_url": "https://edge.cycle-platform.com/v1/mcp", "source_url": "https://registry.modelcontextprotocol.io/v0.1/servers/Cycle%20Intelligence/versions/1.0.0", "icon_url": null, "cover_image_url": null, "capabilities": [ "regulatory.compliance-check", "data.validation", "data.generation" ], "categories": [ "data-analytics" ], "industries": [ "commerce", "legal" ], "protocols": [ "mcp" ], "auth": { "type": "unknown" }, "pricing": { "model": "unknown" }, "input_schema": {}, "output_schema": {}, "metadata": { "content_language": "en", "translation_status": "luna-reviewed", "official_registry": { "version": "1.0.0", "packages": [], "remotes": [] }, "review_gate": { "passed": true, "reasons": [], "policy_version": "review-gate-v1", "evaluated_at": "2026-09-04T03:52:56.954Z" }, "catalog_profile": { "version": "catalog-profile-v1", "primary_category": "data-analytics", "integrations": [], "use_cases": { "en": [ "Check EU DPP regulatory requirements and timeline for textile products", "Validate product catalogue readiness for DPP compliance", "Verify GS1 identifiers before printing labels or QR codes" ], "zh": [ "查询纺织品欧盟DPP法规要求及时间表", "验证产品目录的DPP合规就绪度", "在打印标签或二维码前验证GS1标识符" ] }, "categories": [ "data-analytics" ], "industries": [ "commerce", "legal" ], "copy": { "source_language": "en", "summary_zh_state": "present", "description_zh_state": "present", "description_en_state": "present" } } }, "latest_version": "1.0.0", "status": "listed", "health_status": "healthy", "source_kind": "imported", "source_agent": "registry.modelcontextprotocol.io", "trust": { "signal": "none", "reason": "No suspicious or malicious evidence found.", "signals": { "yellow": 0, "red": 0 } }, "review_summary": { "method_version": "capability-evidence-v3", "capability_definition": "strong", "contract_completeness": "strong", "access_friction": "low", "operational_transparency": "strong", "evidence_strength": "protocol_inspected", "use_readiness": "ready_for_guidance", "reviewed_at": "2026-09-04T03:52:57.973Z" }, "experience_count": 0, "verified_experience_count": 0, "usage_count": 0, "success_rate": null, "first_seen_at": "2026-09-03T14:03:17.773Z", "last_seen_at": "2026-09-04T03:52:57.214Z", "published_at": "2026-09-03T14:03:17.773Z", "created_at": "2026-09-03T14:03:17.773Z", "updated_at": "2026-09-04T03:52:57.973Z", "api_url": "https://aiworkshub.io/api/v1/resources/RES_063F44C271CF", "reviews_url": "https://aiworkshub.io/api/v1/resources/RES_063F44C271CF/reviews", "public_url": "https://aiworkshub.io/resources/RES_063F44C271CF", "distribution": { "canonical_identity": "https://registry.modelcontextprotocol.io/v0.1/servers/Cycle%20Intelligence/versions/1.0.0", "syndicatable": true } }, { "id": "RES_06061208E754", "resource_type": "mcp_server", "canonical_url": "https://registry.modelcontextprotocol.io/v0.1/servers/Invoke%20%E2%80%94%20hire%20a%20human%20from%20your%20AI%20agent%20(first%20post%20free)/versions/0.1.4", "name": "Invoke — hire a human from your AI agent (first post free)", "summary_en": "Let your AI agent hire a human for tasks it can't do — first post free.", "summary_zh": "让AI代理将无法完成的任务外包给真人，首次发布免费。", "description_en": "Invoke lets an AI agent delegate real-world tasks to human workers when software alone cannot complete them, such as phone calls, physical-world photos, local errands, human judgment, verification, or QA. The server exposes three tools (post_task and two aliases) that create a paid task with a required reward and contact email; the first post for a new email is free and goes live immediately, while later posts require payment via a checkout URL. 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Use it when researching insurer denial patterns or guiding patients through appeals. Access is open without authentication, but detailed state external-review data covers only 10 states.", "description_zh": "该MCP服务器提供经核实的美国健康保险公司预先授权拒绝率、按治疗和病症分类的外部审查推翻率，以及确定性的申诉权利查询。适用于研究保险公司拒绝模式或指导患者进行申诉。无需认证即可访问，但州级外部审查详细信息仅覆盖10个州。", "provider_name": "com.coverage-rights", "homepage_url": "https://www.coverage-rights.com/mcp", "endpoint_url": "https://www.coverage-rights.com/api/mcp", "source_url": "https://registry.modelcontextprotocol.io/v0.1/servers/coverage-rights/versions/1.1.0", "icon_url": null, "cover_image_url": null, "capabilities": [ "health.insurer-metrics", "health.appeal-rights", "health.outcomes-research" ], "categories": [ "search-research" ], "industries": [ "health" ], "protocols": [ "mcp" ], "auth": { "type": "unknown" }, "pricing": { "model": "unknown" }, "input_schema": {}, "output_schema": {}, "metadata": { "content_language": "en", "translation_status": "luna-reviewed", "official_registry": { "version": "1.1.0", "packages": [], "remotes": [] }, "review_gate": { 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