{ "ok": true, "resource": { "id": "RES_44263379B6DF", "resource_type": "mcp_server", "canonical_url": "https://registry.modelcontextprotocol.io/v0.1/servers/ai.analyticslegends%2Fsap-analytics/versions/1.0.6", "name": "Analytics Legends — SAP Analytics Intelligence", "summary_en": "AI agent for SAP analytics: firms, day rates, contract radar, news, concepts, studies", "summary_zh": "面向SAP分析的AI代理：公司、日费率、合同雷达、新闻、概念、研究", "description_en": "Analytics Legends — SAP Analytics Intelligence is an MCP server providing an AI agent for SAP analytics market intelligence. It offers tools to search a directory of SAP analytics service providers (firms), count firms by various facets, retrieve firm profiles, list freelance platforms, search a public contract radar for SAP opportunities, search market news, search a concept encyclopedia, retrieve concept metadata, list deep-research studies, access public day-rate aggregates, list SAP module taxonomy, search an Academy training catalogue, traverse a learning knowledge graph, and access paid content (concept cards, studies, Academy modules, SAP end-customer corpus, firm intelligence profiles) with appropriate subscription tiers. The server is published on the official MCP registry and is reachable via streamable HTTP at https://analyticslegends.ai/mcp. Runtime verification confirmed 20 tools, all read-only and idempotent, with detailed input/output schemas and citations.", "description_zh": "Analytics Legends — SAP Analytics Intelligence 是一个MCP服务器，提供面向SAP分析市场情报的AI代理。其工具包括：搜索SAP分析服务提供商目录（公司）、按不同维度对公司进行计数、获取公司简介、列出自由职业平台、搜索公开的SAP合同雷达机会、搜索市场新闻、搜索概念百科全书、获取概念元数据、列出深度研究、访问公开的日费率聚合数据、列出SAP模块分类、搜索学院培训目录、遍历学习知识图谱，以及访问付费内容（概念卡片、研究、学院模块、SAP最终客户语料库、公司情报简介），并具有相应的订阅层级。该服务器已在官方MCP注册表中发布，可通过流式HTTP在https://analyticslegends.ai/mcp访问。运行时验证确认了20个工具，均为只读且幂等，具有详细的输入/输出模式和引用。", "provider_name": "ai.analyticslegends", "homepage_url": "https://analyticslegends.ai/", "endpoint_url": "https://analyticslegends.ai/mcp", "source_url": "https://github.com/analyticslegends/analytics-legends-mcp", "icon_url": null, "cover_image_url": null, "capabilities": [ "data.search", "data.retrieve", "data.analyze", "data.discover", "knowledge.retrieve" ], "categories": [ "data", "research", "other" ], "industries": [ "software", "general" ], "protocols": [ "mcp" ], "auth": { "type": "unknown" }, "pricing": { "model": "unknown" }, "input_schema": {}, "output_schema": {}, "metadata": { "content_language": "en", "translation_status": "original-only", "official_registry": { "version": "1.0.6", "packages": [], "remotes": [] }, "review_gate": { "passed": true, "reasons": [], "policy_version": "review-gate-v1", "evaluated_at": "2026-09-03T06:32:03.541Z" } }, "latest_version": "1.0.6", "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-v2", "capability_definition": "strong", "contract_completeness": "strong", "access_friction": "low", "operational_transparency": "strong", "evidence_strength": "protocol_inspected", "use_readiness": "ready_for_guidance", "reviewed_at": "2026-09-03T06:32:04.697Z" }, "experience_count": 0, "verified_experience_count": 0, "usage_count": 0, "success_rate": null, "first_seen_at": "2026-09-03T02:49:38.950Z", "last_seen_at": "2026-09-03T06:32:03.893Z", "published_at": "2026-09-03T06:32:03.893Z", "created_at": "2026-09-03T02:49:38.950Z", "updated_at": "2026-09-03T06:32:04.697Z", "api_url": "https://aiworkshub.io/api/v1/resources/RES_44263379B6DF", "reviews_url": "https://aiworkshub.io/api/v1/resources/RES_44263379B6DF/reviews", "public_url": "https://aiworkshub.io/resources/RES_44263379B6DF", "distribution": { "canonical_identity": "https://registry.modelcontextprotocol.io/v0.1/servers/ai.analyticslegends%2Fsap-analytics/versions/1.0.6", "syndicatable": true, "origins": [ { "registry_url": "https://registry.modelcontextprotocol.io/", "upstream_resource_id": "ai.analyticslegends/sap-analytics@1.0.6", "upstream_record_url": "https://registry.modelcontextprotocol.io/v0.1/servers/ai.analyticslegends%2Fsap-analytics/versions/1.0.6", "relation": "syndicated", "metadata": { "source": "official-mcp-registry" }, "first_seen_at": "2026-09-03T02:49:38.950Z", "last_seen_at": "2026-09-03T06:32:03.893Z" } ] }, "tools": [ { "name": "count_firms_by", "title_en": "Count the firm directory by country, kind, module or SAP signal", "title_zh": "按国家、类型、模块或SAP信号对公司目录进行计数", "description_en": "Answer counting questions about the firm directory in one call: how many organisations per country, kind, declared SAP module, or SAP signal band, with the same filters as search_firms.", "description_zh": "一次调用回答关于公司目录的计数问题：按国家、类型、声明的SAP模块或SAP信号频段统计组织数量，支持与search_firms相同的过滤器。", "input_schema": { "type": "object", "properties": { "by": { "type": "string", "enum": [ "country", "kind", "module", "sap_signal_band" ], "description": "Which facet to count on. Required — there is no default worth guessing." }, "query": { "type": "string", "maxLength": 200, "description": "Free-text filter, case-insensitive. EVERY word must appear in the record (substring per word, any order), so a natural-language phrase narrows the answer instead of having to match verbatim." }, "country": { "type": "string", "pattern": "^[A-Za-z]{2}$", "description": "ISO-3166-1 alpha-2 country code, e.g. DE, FR, CH." }, "kind": { "type": "string", "description": "Restrict to one organisation kind before counting, same vocabulary as search_firms. Combining it with `by:\"kind\"` is legal and returns that single bucket." }, "module": { "type": "string", "description": "Restrict to organisations with a DECLARED link to one SAP module code before counting, same vocabulary as search_firms' `module`. Combining it with `by:\"module\"` is legal and returns that single bucket (plus the null bucket)." } }, "required": [ "by" ], "additionalProperties": false }, "output_schema": { "type": "object", "properties": { "tool": { "type": "string" }, "result_count": { "type": "integer" }, "rows": { "type": "array", "items": { "type": "object", "properties": { "value": { "type": [ "string", "null" ] }, "n": { "type": [ "integer", "null" ] }, "citation_url": { "type": "string" }, "citation_scope": { "type": "string", "enum": [ "record", "section_hub" ] } } } }, "_meta": { "type": "object" }, "_attribution": { "type": "string" } }, "required": [ "tool", "result_count", "rows", "_attribution" ] }, "unit_kind": "mcp_tool", "effect": "read", "open_world": false, "idempotency": "idempotent", "confirmation": "explicit policy", "evidence_ids": [ "protocol-tools" ], "runtime_auth": {}, "pricing": {}, "metadata": {} }, { "name": "find_academy_modules", "title_en": "Search the Academy training catalogue", "title_zh": "搜索学院培训目录", "description_en": "Search the Analytics Legends Academy training modules by track, level and free text. Returns catalogue entry with metadata.", "description_zh": "按轨道、级别和自由文本搜索Analytics Legends学院培训模块。返回带有元数据的目录条目。", "input_schema": { "type": "object", "properties": { "query": { "type": "string", "maxLength": 200, "description": "Free-text filter, case-insensitive. EVERY word must appear in the record (substring per word, any order), so a natural-language phrase narrows the answer instead of having to match verbatim." }, "track": { "type": "string", "description": "Restrict to one track, by SLUG (`databricks-data-eng`) or by English name (`Databricks & Data Eng.`), matched case-insensitively. The live vocabulary with per-track counts is `_meta.available_tracks` on every response. The numeric track_id is deliberately NOT accepted — it is an internal counter, and passing `6` would look like naming a subject." }, "level": { "type": "string", "description": "Restrict to one level, matched case-insensitively: Beginner · Intermediate · Advanced · Expert. Counts in `_meta.available_levels`." }, "limit": { "type": "integer", "minimum": 1, "maximum": 50, "default": 10, "description": "Max rows (hard cap 50)." }, "cursor": { "type": "string", "maxLength": 512, "description": "Opaque token from a previous response's `_meta.next_cursor`. Pass it back with the SAME filter arguments; `null` means the last page. Changing a filter refuses the cursor." } }, "additionalProperties": false }, "output_schema": { "type": "object", "properties": { "tool": { "type": "string" }, "result_count": { "type": "integer" }, "rows": { "type": "array", "items": { "type": "object", "properties": { "id": { "type": [ "string", "null" ], "description": "Module id, e.g. M001 — the value get_academy_module takes." }, "slug": { "type": [ "string", "null" ] }, "title_en": { "type": [ "string", "null" ] }, "track_slug": { "type": [ "string", "null" ] }, "level": { "type": [ "string", "null" ] }, "duration_minutes": { "type": [ "number", "null" ] }, "summary_en": { "type": [ "string", "null" ] }, "status": { "type": [ "string", "null" ], "description": "Editorial access marker: 'available' or 'legend-pass'. Served, not filtered on. READ 'legend-pass' AS 'sold at the CONSULTANT tier': it is a LEGACY label from when the paid tier was called Legend, it sits on the majority of rows, and the tier that actually opens the body here is Consultant (get_academy_module). The site stopped rendering this field for exactly that reason on 2026-07-26; this endpoint still serves the raw value, so the LABEL is the stale half and the tier floor is the true one." }, "is_preview": { "type": [ "boolean", "null" ], "description": "The second free-access marker. Does NOT coincide with status — read both." }, "title_fr": { "type": [ "string", "null" ] }, "summary_fr": { "type": [ "string", "null" ] }, "track_name_en": { "type": [ "string", "null" ] }, "track_name_fr": { "type": [ "string", "null" ] }, "tags": { "type": [ "array", "null" ], "items": { "type": "string" } }, "updated_at": { "type": [ "string", "null" ] }, "citation_url": { "type": "string" }, "citation_scope": { "type": "string", "enum": [ "record", "section_hub" ] } } } }, "_meta": { "type": "object" }, "_attribution": { "type": "string" } }, "required": [ "tool", "result_count", "rows", "_attribution" ] }, "unit_kind": "mcp_tool", "effect": "read", "open_world": false, "idempotency": "idempotent", "confirmation": "explicit policy", "evidence_ids": [ "protocol-tools" ], "runtime_auth": {}, "pricing": {}, "metadata": {} }, { "name": "find_opportunities", "title_en": "Search the public SAP analytics contract radar", "title_zh": "搜索公开的SAP分析合同雷达", "description_en": "Search every SAP contract and permanent-role posting Analytics Legends publishes to anonymous visitors, merging two public legs: promoted feed and site radar.", "description_zh": "搜索Analytics Legends向匿名访客发布的每个SAP合同和永久职位，合并两个公共来源：推广信息流和网站雷达。", "input_schema": { "type": "object", "properties": { "query": { "type": "string", "maxLength": 200, "description": "Free-text filter, case-insensitive. EVERY word must appear in the record (substring per word, any order), so a natural-language phrase narrows the answer instead of having to match verbatim." }, "location": { "type": "string", "description": "City or place, matched case-insensitively as a substring of the posting's location. The promoted leg is all-German (Hamburg, Frankfurt am Main, Bremen, Munich, Cologne, Dortmund, Hanover, Landshut, Mannheim, Stuttgart); the site-radar leg is worldwide." }, "country": { "type": "string", "pattern": "^[A-Za-z]{2}$", "description": "ISO-3166-1 alpha-2 code, applied to both legs as a predicate on the row's own country_code. It NO LONGER selects the site-radar leg alone: the promoted feed carried country_code on almost none of its rows until 2026-08-28 and now carries it on most, so a country filter now returns both legs. A row still without one is dropped because it does not match, not because its leg was excluded by assumption. `_meta.match_count_by_leg` shows what each leg contributed on YOUR call — read the split there, never from a figure quoted in this text." }, "employment_type": { "type": "string", "enum": [ "freelance", "contract", "permanent" ], "description": "Restrict to one engagement type. THE RADAR IS MOSTLY PERMANENT, so a freelance or contract question answered off an unfiltered page is answered with salaried jobs. For the actual split, make the filtered call and read `_meta.tranche_total_row_count` — it is counted at query time. The promoted leg declared NO contract_type until 2026-08-28 and now declares one on most of its rows, so a value here no longer drops that leg wholesale — only the rows still silent. THOSE ROWS ARE NOT A FOURTH TYPE AND NOT PERMANENT ONES: `_meta.available_employment_types` counts only what declares, and `_meta.employment_type_undeclared` carries the rest, so the two together are the population and either alone is not. Read both before quoting a mix." }, "remote_mode": { "type": "string", "description": "Restrict to one work-location policy: `remote`, `hybrid` or `onsite`. READ THIS BEFORE ANSWERING A REMOTE QUESTION: a large share of the radar declares no policy at all (`_meta.remote_mode_undeclared` carries the live count — roughly half the radar when last measured, and a frozen pair written here drifted ~30% in two days), and an undeclared row is NOT an on-site row — it is a posting that does not say. Any value here therefore sets those rows aside rather than classifying them, exactly as the site's own filter does, and `_meta.remote_mode_undeclared` reports how many were set aside. The promoted leg carries its own `remote_mode` column and is filtered by the same predicate. Read `_meta.available_remote_modes` for the live spread before assuming a value exists." }, "limit": { "type": "integer", "minimum": 1, "maximum": 50, "default": 10, "description": "Max rows (hard cap 50)." }, "cursor": { "type": "string", "maxLength": 512, "description": "Opaque token from a previous response's `_meta.next_cursor`. Pass it back with the SAME filter arguments; `null` means the last page. Changing a filter refuses the cursor." } }, "additionalProperties": false }, "output_schema": { "type": "object", "properties": { "tool": { "type": "string" }, "result_count": { "type": "integer" }, "rows": { "type": "array", "items": { "type": "object", "properties": { "title": { "type": [ "string", "null" ] }, "title_lang": { "type": [ "string", "null" ], "description": "ISO-639-1 language the TITLE is written in, as measured by the harvest chain — 'en' on 1,566 rows, 'de' on 337 (2026-08-23). Null when the chain could not decide. A harvested title is a third party's own words and is never translated, so this label is the only honest way to tell a reader the posting you are quoting is not in their language. Absent from the served payload until 2026-08-23: the projector's keep-list dropped it." }, "firm_name": { "type": [ "string", "null" ] }, "location": { "type": [ "string", "null" ] }, "country_code": { "type": [ "string", "null" ], "description": "ISO-3166-1 alpha-2 of the posting's own country. Null on almost all of the promoted leg." }, "seniority": { "type": [ "string", "null" ] }, "remote_mode": { "type": [ "string", "null" ], "description": "The posting's declared work-location policy (`remote` / `hybrid` / `onsite`). NULL means the posting does not say — never read it as on-site." }, "posted_at": { "type": [ "string", "null" ] }, "source_url": { "type": [ "string", "null" ] }, "employment_type": { "type": [ "string", "null" ] }, "expires_at": { "type": [ "string", "null" ] }, "rate_band": { "type": [ "object", "null" ], "description": "Editorial benchmark for this posting's (seniority × product × region) cell — NOT a rate the employer offered. `basis` and `kind` are inside the object on purpose, so no extraction can lift the numbers away from what they mean. 2026-08-29: this band is a SUBSCRIBER surface and is no longer carried by the public radar file this lane reads — expect it to be null here. The posting's OWN published rate, when it has one, stays in currency / daily_rate_min / daily_rate_max." }, "id": { "type": [ "string", "null" ], "description": "The posting's identity — stable across calls, key for dedup." }, "leg": { "type": [ "string", "null" ], "description": "`promoted` or `site_radar` — which of the two merged public legs served this row." }, "application_link": { "type": [ "string", "null" ], "description": "`public` (source_url is served) or `members_only` (the link to the original listing is the paid Consultant-tier deliverable; the row and its facts stay public)." }, "skills": { "type": [ "array", "null" ], "description": "Skills the posting names. Null when it names none." }, "category": { "type": [ "string", "null" ] }, "description": { "type": [ "string", "null" ], "description": "Posting text, HTML stripped, clamped. Null on the radar leg." }, "currency": { "type": [ "string", "null" ] }, "daily_rate_min": { "type": [ "number", "null" ], "description": "Only when the source declares a DAILY rate period — never converted from other periods." }, "daily_rate_max": { "type": [ "number", "null" ] }, "rate_period": { "type": [ "string", "null" ] }, "duration_months": { "type": [ "number", "null" ] }, "salary_min": { "type": [ "number", "null" ] }, "salary_max": { "type": [ "number", "null" ] }, "source": { "type": [ "string", "null" ] }, "citation_url": { "type": "string" }, "citation_scope": { "type": "string", "enum": [ "record", "section_hub" ] } } } }, "_meta": { "type": "object" }, "_attribution": { "type": "string" } }, "required": [ "tool", "result_count", "rows", "_attribution" ] }, "unit_kind": "mcp_tool", "effect": "read", "open_world": false, "idempotency": "idempotent", "confirmation": "explicit policy", "evidence_ids": [ "protocol-tools" ], "runtime_auth": {}, "pricing": {}, "metadata": {} }, { "name": "find_sap_clients", "title_en": "Search the SAP end-customer corpus (Legend tier)", "title_zh": "搜索SAP最终客户语料库（传奇级）", "description_en": "Search the SAP end-customer corpus, the companies that run SAP. Requires Legend tier key.", "description_zh": "搜索SAP最终客户语料库，即运行SAP的公司。需要传奇级密钥。", "input_schema": { "type": "object", "properties": { "query": { "type": "string", "maxLength": 200, "description": "Free-text filter, case-insensitive. EVERY word must appear in the record (substring per word, any order), so a natural-language phrase narrows the answer instead of having to match verbatim." }, "country": { "type": "string", "pattern": "^[A-Za-z]{2}$", "description": "ISO-3166-1 alpha-2 country code, e.g. DE, FR, CH." }, "industry": { "type": "string", "maxLength": 200, "description": "Industry or sector filter, matched case-insensitively." }, "product": { "type": "string", "enum": [ "datasphere", "bdc", "sac", "bw", "bw4hana", "s4hana", "ecc", "hana", "joule", "businessobjects", "bpc", "successfactors", "ariba", "concur" ], "description": "Keep only end-customers where this SAP product was DETECTED in use. Absence from the result means undetected, not unused." }, "limit": { "type": "integer", "minimum": 1, "maximum": 50, "default": 10, "description": "Max rows (hard cap 50)." }, "cursor": { "type": "string", "maxLength": 512, "description": "Opaque token from a previous response's `_meta.next_cursor`. Pass it back with the SAME filter arguments; `null` means the last page. Changing a filter refuses the cursor." } }, "additionalProperties": false }, "output_schema": { "type": "object", "properties": { "tool": { "type": "string" }, "result_count": { "type": "integer" }, "rows": { "type": "array", "items": { "type": "object", "properties": { "id": { "type": [ "string", "null" ] }, "name": { "type": [ "string", "null" ] }, "country_code": { "type": [ "string", "null" ] }, "industry": { "type": [ "string", "null" ] }, "sap_client_verification_status": { "type": [ "string", "null" ] }, "citation_url": { "type": "string" }, "citation_scope": { "type": "string", "enum": [ "record", "section_hub" ] } } } }, "_meta": { "type": "object" }, "_attribution": { "type": "string" } }, "required": [ "tool", "result_count", "rows", "_attribution" ] }, "unit_kind": "mcp_tool", "effect": "read", "open_world": false, "idempotency": "idempotent", "confirmation": "explicit policy", "evidence_ids": [ "protocol-tools" ], "runtime_auth": {}, "pricing": {}, "metadata": {} }, { "name": "get_academy_module", "title_en": "Read an Academy module (Consultant tier)", "title_zh": "阅读学院模块（顾问级）", "description_en": "Read one Academy training module in full, including body, learning objectives and summary. Requires subscriber key.", "description_zh": "完整阅读一个学院培训模块，包括正文、学习目标和摘要。需要订阅密钥。", "input_schema": { "type": "object", "properties": { "id": { "type": "string", "description": "Module id (`M001`) or slug (`datasphere-foundations`), verbatim from find_academy_modules.rows[].id / .slug." } }, "required": [ "id" ], "additionalProperties": false }, "output_schema": { "type": "object", "properties": { "tool": { "type": "string" }, "result_count": { "type": "integer" }, "rows": { "type": "array", "items": { "type": "object", "properties": { "id": { "type": [ "string", "null" ] }, "slug": { "type": [ "string", "null" ] }, "title_en": { "type": [ "string", "null" ] }, "body_en": { "type": [ "string", "null" ] }, "objectives_en": { "type": [ "array", "null" ], "items": { "type": "string" }, "description": "Learning objectives, one per element — a text[] column, not a paragraph." }, "citation_url": { "type": "string" }, "citation_scope": { "type": "string", "enum": [ "record", "section_hub" ] } } } }, "_meta": { "type": "object" }, "_attribution": { "type": "string" } }, "required": [ "tool", "result_count", "rows", "_attribution" ] }, "unit_kind": "mcp_tool", "effect": "read", "open_world": false, "idempotency": "idempotent", "confirmation": "explicit policy", "evidence_ids": [ "protocol-tools" ], "runtime_auth": {}, "pricing": {}, "metadata": {} }, { "name": "get_concept", "title_en": "Concept metadata and editor's summary (public)", "title_zh": "概念元数据和编辑摘要（公开）", "description_en": "Fetch one concept entry by slug: title, category, level, tags and editor's summary. Subscriber content not returned.", "description_zh": "通过slug获取一个概念条目：标题、类别、级别、标签和编辑摘要。不返回订阅者内容。", "input_schema": { "type": "object", "properties": { "slug": { "type": "string", "description": "Concept slug from search_concepts." } }, "required": [ "slug" ], "additionalProperties": false }, "output_schema": { "type": "object", "properties": { "tool": { "type": "string" }, "result_count": { "type": "integer" }, "rows": { "type": "array", "items": { "type": "object", "properties": { "slug": { "type": [ "string", "null" ] }, "title": { "type": [ "string", "null" ] }, "summary": { "type": [ "string", "null" ] }, "citation_url": { "type": "string" }, "citation_scope": { "type": "string", "enum": [ "record", "section_hub" ] } } } }, "_meta": { "type": "object" }, "_attribution": { "type": "string" } }, "required": [ "tool", "result_count", "rows", "_attribution" ] }, "unit_kind": "mcp_tool", "effect": "read", "open_world": false, "idempotency": "idempotent", "confirmation": "explicit policy", "evidence_ids": [ "protocol-tools" ], "runtime_auth": {}, "pricing": {}, "metadata": {} }, { "name": "get_concept_card", "title_en": "Full concept card (Consultant tier)", "title_zh": "完整概念卡片（顾问级）", "description_en": "Full encyclopaedia card for one concept, including body, why-it-matters, key points, cheat sheet, glossary, pro tip and analysis tables. Requires subscriber key.", "description_zh": "一个概念的完整百科全书卡片，包括正文、重要性、要点、速查表、词汇表、专业提示和分析表格。需要订阅密钥。", "input_schema": { "type": "object", "properties": { "slug": { "type": "string", "description": "Concept slug, verbatim from search_concepts.rows[].slug." } }, "required": [ "slug" ], "additionalProperties": false }, "output_schema": { "type": "object", "properties": { "tool": { "type": "string" }, "result_count": { "type": "integer" }, "rows": { "type": "array", "items": { "type": "object", "properties": { "slug": { "type": [ "string", "null" ] }, "title_en": { "type": [ "string", "null" ] }, "body_en": { "type": [ "string", "null" ] }, "citation_url": { "type": "string" }, "citation_scope": { "type": "string", "enum": [ "record", "section_hub" ] } } } }, "_meta": { "type": "object" }, "_attribution": { "type": "string" } }, "required": [ "tool", "result_count", "rows", "_attribution" ] }, "unit_kind": "mcp_tool", "effect": "read", "open_world": false, "idempotency": "idempotent", "confirmation": "explicit policy", "evidence_ids": [ "protocol-tools" ], "runtime_auth": {}, "pricing": {}, "metadata": {} }, { "name": "get_day_rate_benchmark", "title_en": "Public SAP analytics day-rate aggregate", "title_zh": "公开的SAP分析日费率聚合", "description_en": "Public day-rate aggregate for SAP analytics freelance work: min/max daily rate by country, specialisation and seniority, with source and confidence.", "description_zh": "SAP分析自由职业的公开日费率聚合：按国家、专业和资历提供最低/最高日费率，并附来源和置信度。", "input_schema": { "type": "object", "properties": { "country": { "type": "string", "pattern": "^[A-Za-z]{2}$", "description": "ISO-3166-1 alpha-2 country code, e.g. DE, FR, CH." }, "specialisation": { "type": "string", "description": "One of the codes the aggregate actually holds — analytics_all, bw, bw4hana, bw4hana_sac, sac, datasphere (2026-08-09; the live list comes back as `_meta.available_specialisations` on every call). They are NOT evenly spread across countries: DE holds analytics_all only, at three seniorities, and datasphere exists for FR alone, as a median with confidence 'low'. There is no bdc row and no joule row in THIS aggregate — but the platform does price BDC: `find_opportunities` carries a panel-inferred band on the live postings, €1,000–€1,400/day P25–P75 for Senior BDC on 52 German postings (2026-08-10). A code this aggregate does not hold returns 0 rows and the available codes; it never widens to a neighbouring band, and 0 here does not mean the platform is silent." }, "seniority": { "type": "string", "description": "e.g. senior, principal." } }, "additionalProperties": false }, "output_schema": { "type": "object", "properties": { "tool": { "type": "string" }, "result_count": { "type": "integer" }, "rows": { "type": "array", "items": { "type": "object", "properties": { "country": { "type": [ "string", "null" ] }, "specialisation": { "type": [ "string", "null" ] }, "seniority": { "type": [ "string", "null" ] }, "sample_size": { "type": [ "integer", "null" ] }, "currency": { "type": [ "string", "null" ] }, "citation_url": { "type": "string" }, "citation_scope": { "type": "string", "enum": [ "record", "section_hub" ] } } } }, "_meta": { "type": "object" }, "_attribution": { "type": "string" } }, "required": [ "tool", "result_count", "rows", "_attribution" ] }, "unit_kind": "mcp_tool", "effect": "read", "open_world": true, "idempotency": "idempotent", "confirmation": "explicit policy", "evidence_ids": [ "protocol-tools" ], "runtime_auth": {}, "pricing": {}, "metadata": {} }, { "name": "get_firm", "title_en": "Get one firm's published profile", "title_zh": "获取单个公司的已发布简介", "description_en": "Fetch one organisation from the published directory by its database slug. Returns public fields plus partnerships_declared count.", "description_zh": "通过数据库slug从已发布目录中获取一个组织。返回公共字段以及声明的合作伙伴数量。", "input_schema": { "type": "object", "properties": { "slug": { "type": "string", "description": "The DATABASE slug, taken verbatim from search_firms.rows[].slug. It is not always the web slug in citation_url: a minority of published rows carry a numeric firm id instead (365 of them on 2026-08-09 — the population is read at query time and returned as `_meta.tranche_total_row_count`, never written down here). get_firm{slug:\"00393\"} is GULP, whose page is /companies/gulp/. Deriving a slug from the citation URL fails on those rows, and deriving it from the NAME is not safe either; carry rows[].slug across instead. A slug this tool refuses is not proof the firm is absent from the market or even from the database — the published tranche is an editorial subset, and a row the editor has not published is refused here exactly as a wrong slug is." } }, "required": [ "slug" ], "additionalProperties": false }, "output_schema": { "type": "object", "properties": { "tool": { "type": "string" }, "result_count": { "type": "integer" }, "rows": { "type": "array", "items": { "type": "object", "properties": { "slug": { "type": [ "string", "null" ] }, "name": { "type": [ "string", "null" ] }, "citation_url": { "type": "string" }, "citation_scope": { "type": "string", "enum": [ "record", "section_hub" ] } } } }, "_meta": { "type": "object" }, "_attribution": { "type": "string" } }, "required": [ "tool", "result_count", "rows", "_attribution" ] }, "unit_kind": "mcp_tool", "effect": "read", "open_world": false, "idempotency": "idempotent", "confirmation": "explicit policy", "evidence_ids": [ "protocol-tools" ], "runtime_auth": {}, "pricing": {}, "metadata": {} }, { "name": "get_firm_intel", "title_en": "Firm intelligence profile (Legend tier)", "title_zh": "公司情报简介（传奇级）", "description_en": "Paid intelligence profile of a services firm, including SAP practice size, partner level, delivery flags, typical day rate and notable clients. Requires Legend tier key.", "description_zh": "服务公司的付费情报简介，包括SAP实践规模、合作伙伴级别、交付标志、典型日费率和知名客户。需要传奇级密钥。", "input_schema": { "type": "object", "properties": { "name": { "type": "string", "maxLength": 200, "description": "Firm name, matched case-insensitively. Omit to browse the corpus by data completeness." }, "country": { "type": "string", "pattern": "^[A-Za-z]{2}$", "description": "ISO-3166-1 alpha-2 country code, e.g. DE, FR, CH." }, "delivers": { "type": "string", "enum": [ "datasphere", "bdc", "sac", "bw", "bw4hana", "s4hana", "ecc", "hana", "joule", "businessobjects", "bpc", "successfactors", "ariba", "concur" ], "description": "Keep only firms whose profile DECLARES delivery of this product (the `delivers_*` flags every row already carries). An undeclared flag drops the row: absence from the result means the profile does not declare it, not that the firm cannot deliver it." }, "mode": { "type": "string", "enum": [ "freelance", "permanent", "subcontract" ], "description": "Keep only firms whose profile declares this engagement mode (mode_freelance / mode_permanent / mode_subcontract). Same reading as `delivers`: declared-only." }, "limit": { "type": "integer", "minimum": 1, "maximum": 10, "default": 3, "description": "Max rows (hard cap 10 — these rows are wide)." }, "cursor": { "type": "string", "maxLength": 512, "description": "Opaque token from a previous response's `_meta.next_cursor`. Pass it back with the SAME filter arguments; `null` means the last page. Changing a filter refuses the cursor." } }, "additionalProperties": false }, "output_schema": { "type": "object", "properties": { "tool": { "type": "string" }, "result_count": { "type": "integer" }, "rows": { "type": "array", "items": { "type": "object", "properties": { "firm_id_unique": {}, "name": { "type": [ "string", "null" ] }, "sap_partner_level": { "type": [ "string", "null" ] }, "typical_day_rate_eur": {}, "citation_url": { "type": "string" }, "citation_scope": { "type": "string", "enum": [ "record", "section_hub" ] } } } }, "_meta": { "type": "object" }, "_attribution": { "type": "string" } }, "required": [ "tool", "result_count", "rows", "_attribution" ] }, "unit_kind": "mcp_tool", "effect": "read", "open_world": false, "idempotency": "idempotent", "confirmation": "explicit policy", "evidence_ids": [ "protocol-tools" ], "runtime_auth": {}, "pricing": {}, "metadata": {} }, { "name": "get_sap_client_profile", "title_en": "One SAP end-customer profile (Legend tier)", "title_zh": "单个SAP最终客户简介（传奇级）", "description_en": "Full profile of one SAP end-customer, including SAP footprint and analytics solutions. Requires Legend tier key.", "description_zh": "单个SAP最终客户的完整简介，包括SAP足迹和分析解决方案。需要传奇级密钥。", "input_schema": { "type": "object", "properties": { "id": { "type": "string", "maxLength": 160, "description": "Profile id, verbatim from find_sap_clients.rows[].id." } }, "required": [ "id" ], "additionalProperties": false }, "output_schema": { "type": "object", "properties": { "tool": { "type": "string" }, "result_count": { "type": "integer" }, "rows": { "type": "array", "items": { "type": "object", "properties": { "id": { "type": [ "string", "null" ] }, "name": { "type": [ "string", "null" ] }, "sap_products_used": {}, "citation_url": { "type": "string" }, "citation_scope": { "type": "string", "enum": [ "record", "section_hub" ] } } } }, "_meta": { "type": "object" }, "_attribution": { "type": "string" } }, "required": [ "tool", "result_count", "rows", "_attribution" ] }, "unit_kind": "mcp_tool", "effect": "read", "open_world": false, "idempotency": "idempotent", "confirmation": "explicit policy", "evidence_ids": [ "protocol-tools" ], "runtime_auth": {}, "pricing": {}, "metadata": {} }, { "name": "get_study", "title_en": "Read a study (Consultant tier)", "title_zh": "阅读研究（顾问级）", "description_en": "Read one study body, served in sections to avoid response ceiling. Requires subscriber key.", "description_zh": "阅读一个研究正文，分段提供以避免响应上限。需要订阅密钥。", "input_schema": { "type": "object", "properties": { "slug": { "type": "string", "description": "Study slug, verbatim from list_studies.rows[].slug." }, "lang": { "type": "string", "pattern": "^[A-Za-z]{2}$", "default": "en", "description": "ISO-639-1 language of the edition, e.g. en or fr. Defaults to en." }, "section": { "type": "string", "maxLength": 200, "description": "A section heading from a previous call's `sections` list. Omit to get the list." } }, "required": [ "slug" ], "additionalProperties": false }, "output_schema": { "type": "object", "properties": { "tool": { "type": "string" }, "result_count": { "type": "integer" }, "rows": { "type": "array", "items": { "type": "object", "properties": { "slug": { "type": [ "string", "null" ] }, "title": { "type": [ "string", "null" ] }, "section_heading": { "type": [ "string", "null" ] }, "citation_url": { "type": "string" }, "citation_scope": { "type": "string", "enum": [ "record", "section_hub" ] } } } }, "_meta": { "type": "object" }, "_attribution": { "type": "string" } }, "required": [ "tool", "result_count", "rows", "_attribution" ] }, "unit_kind": "mcp_tool", "effect": "read", "open_world": false, "idempotency": "idempotent", "confirmation": "explicit policy", "evidence_ids": [ "protocol-tools" ], "runtime_auth": {}, "pricing": {}, "metadata": {} }, { "name": "list_firm_kinds", "title_en": "List firm kinds with live counts", "title_zh": "列出公司类型及实时计数", "description_en": "Breakdown of the published firm directory by organisation kind, with a live row count per kind.", "description_zh": "按组织类型对已发布公司目录进行细分，并显示每种类型的实时行数。", "input_schema": { "type": "object", "properties": {}, "additionalProperties": false }, "output_schema": { "type": "object", "properties": { "tool": { "type": "string" }, "result_count": { "type": "integer" }, "rows": { "type": "array", "items": { "type": "object", "properties": { "kind": { "type": [ "string", "null" ] }, "n": { "type": [ "integer", "null" ] }, "citation_url": { "type": "string" }, "citation_scope": { "type": "string", "enum": [ "record", "section_hub" ] } } } }, "_meta": { "type": "object" }, "_attribution": { "type": "string" } }, "required": [ "tool", "result_count", "rows", "_attribution" ] }, "unit_kind": "mcp_tool", "effect": "read", "open_world": false, "idempotency": "idempotent", "confirmation": "explicit policy", "evidence_ids": [ "protocol-tools" ], "runtime_auth": {}, "pricing": {}, "metadata": {} }, { "name": "list_freelance_platforms", "title_en": "List the CV/profile platforms a consultant can sign up on", "title_zh": "列出顾问可以注册的简历/个人资料平台", "description_en": "List platforms where a consultant can create a profile, with signup URL, editorial confidence grade and assessment date.", "description_zh": "列出顾问可以创建个人资料的平台，包括注册URL、编辑置信度和评估日期。", "input_schema": { "type": "object", "properties": { "country": { "type": "string", "pattern": "^[A-Za-z]{2}$", "description": "ISO-3166-1 alpha-2 country code, e.g. DE, FR, CH." }, "platform_type": { "type": "string", "description": "Restrict to one platform type, lowercase snake_case. The live vocabulary with counts is `_meta.available_platform_types` on every response — a well-formed unknown value returns no rows, it never widens the result." }, "limit": { "type": "integer", "minimum": 1, "maximum": 50, "default": 10, "description": "Max rows (hard cap 50)." }, "cursor": { "type": "string", "maxLength": 512, "description": "Opaque token from a previous response's `_meta.next_cursor`. Pass it back with the SAME filter arguments; `null` means the last page. Changing a filter refuses the cursor." } }, "additionalProperties": false }, "output_schema": { "type": "object", "properties": { "tool": { "type": "string" }, "result_count": { "type": "integer" }, "rows": { "type": "array", "items": { "type": "object", "properties": { "slug": { "type": [ "string", "null" ] }, "name": { "type": [ "string", "null" ] }, "platform_type": { "type": [ "string", "null" ] }, "signup_url": { "type": [ "string", "null" ], "description": "The platform's own signup/profile-creation page, verified on assessed_at." }, "hq_country": { "type": [ "string", "null" ] }, "confidence": { "type": [ "string", "null" ], "description": "Editorial confidence in the signup assessment." }, "assessed_at": { "type": [ "string", "null" ] }, "citation_url": { "type": "string" }, "citation_scope": { "type": "string", "enum": [ "record", "section_hub" ] } } } }, "_meta": { "type": "object" }, "_attribution": { "type": "string" } }, "required": [ "tool", "result_count", "rows", "_attribution" ] }, "unit_kind": "mcp_tool", "effect": "read", "open_world": false, "idempotency": "idempotent", "confirmation": "explicit policy", "evidence_ids": [ "protocol-tools" ], "runtime_auth": {}, "pricing": {}, "metadata": {} }, { "name": "list_sap_modules", "title_en": "SAP analytics module taxonomy", "title_zh": "SAP分析模块分类", "description_en": "Canonical SAP module/product taxonomy Analytics Legends classifies against, with codes and EN/FR labels by category.", "description_zh": "Analytics Legends用于分类的规范SAP模块/产品分类，包含代码和按类别的英文/法文标签。", "input_schema": { "type": "object", "properties": { "query": { "type": "string", "maxLength": 200, "description": "Free-text filter, case-insensitive. EVERY word must appear in the record (substring per word, any order), so a natural-language phrase narrows the answer instead of having to match verbatim." }, "limit": { "type": "integer", "minimum": 1, "maximum": 50, "default": 10, "description": "Max rows (hard cap 50)." }, "cursor": { "type": "string", "maxLength": 512, "description": "Opaque token from a previous response's `_meta.next_cursor`. Pass it back with the SAME filter arguments; `null` means the last page. Changing a filter refuses the cursor." } }, "additionalProperties": false }, "output_schema": { "type": "object", "properties": { "tool": { "type": "string" }, "result_count": { "type": "integer" }, "rows": { "type": "array", "items": { "type": "object", "properties": { "code": { "type": [ "string", "null" ] }, "label_en": { "type": [ "string", "null" ] }, "category": { "type": [ "string", "null" ] }, "citation_url": { "type": "string" }, "citation_scope": { "type": "string", "enum": [ "record", "section_hub" ] } } } }, "_meta": { "type": "object" }, "_attribution": { "type": "string" } }, "required": [ "tool", "result_count", "rows", "_attribution" ] }, "unit_kind": "mcp_tool", "effect": "read", "open_world": false, "idempotency": "idempotent", "confirmation": "explicit policy", "evidence_ids": [ "protocol-tools" ], "runtime_auth": {}, "pricing": {}, "metadata": {} }, { "name": "list_studies", "title_en": "List the deep-research studies (metadata only)", "title_zh": "列出深度研究（仅元数据）", "description_en": "List deep-research studies with edition, as-of date, audience, word count and canonical URL. Metadata only.", "description_zh": "列出深度研究，包括版本、截止日期、受众、字数和规范URL。仅元数据。", "input_schema": { "type": "object", "properties": { "query": { "type": "string", "maxLength": 200, "description": "Free-text filter, case-insensitive. EVERY word must appear in the record (substring per word, any order), so a natural-language phrase narrows the answer instead of having to match verbatim." }, "lang": { "type": "string", "pattern": "^[A-Za-z]{2}$", "description": "Language code, EN or FR." }, "limit": { "type": "integer", "minimum": 1, "maximum": 50, "default": 10, "description": "Max rows (hard cap 50)." }, "cursor": { "type": "string", "maxLength": 512, "description": "Opaque token from a previous response's `_meta.next_cursor`. Pass it back with the SAME filter arguments; `null` means the last page. Changing a filter refuses the cursor." } }, "additionalProperties": false }, "output_schema": { "type": "object", "properties": { "tool": { "type": "string" }, "result_count": { "type": "integer" }, "rows": { "type": "array", "items": { "type": "object", "properties": { "slug": { "type": [ "string", "null" ] }, "title": { "type": [ "string", "null" ] }, "as_of": { "type": [ "string", "null" ] }, "word_count": { "type": [ "integer", "null" ] }, "access": { "type": [ "string", "null" ] }, "citation_url": { "type": "string" }, "citation_scope": { "type": "string", "enum": [ "record", "section_hub" ] } } } }, "_meta": { "type": "object" }, "_attribution": { "type": "string" } }, "required": [ "tool", "result_count", "rows", "_attribution" ] }, "unit_kind": "mcp_tool", "effect": "read", "open_world": false, "idempotency": "idempotent", "confirmation": "explicit policy", "evidence_ids": [ "protocol-tools" ], "runtime_auth": {}, "pricing": {}, "metadata": {} }, { "name": "query_knowledge_graph", "title_en": "Traverse the learning knowledge graph", "title_zh": "遍历学习知识图谱", "description_en": "Query relations between teaching objects: which module teaches which concept, which study covers which module, etc.", "description_zh": "查询教学对象之间的关系：哪个模块教授哪个概念，哪个研究涵盖哪个模块等。", "input_schema": { "type": "object", "properties": { "node_id": { "type": "string", "description": "Fully-qualified node id, `:` — `module:M178`, `concept:C001`, `study:ai-impact-2026-EN`, `vendor:alteryx`. With it, rows are that node's EDGES (one row per neighbour). Without it, rows are NODES." }, "node_type": { "type": "string", "description": "Restrict to one carried node type: concept · module · study · vendor. Read `_meta.available_node_types`." }, "edge_type": { "type": "string", "description": "Restrict a walk to one relation. The served projection carries FIVE — teaches · taught_by · covers · related · mentions — and this list is a HINT, not the authority: read `_meta.available_edge_types`, computed on every call. A four-name list stood here while the projection served five, so `mentions` was reachable and undocumented." }, "direction": { "type": "string", "enum": [ "from", "to", "both" ], "description": "Which side of the edge `node_id` must sit on. Default `both`. Ignored without `node_id`, and the response says so rather than pretending it applied." }, "query": { "type": "string", "description": "Case-insensitive substring of a node's label. Applies to the NODE listing, not to a walk." }, "limit": { "type": "integer", "minimum": 1, "maximum": 50, "default": 10, "description": "Max rows (hard cap 50)." }, "cursor": { "type": "string", "maxLength": 512, "description": "Opaque token from a previous response's `_meta.next_cursor`. Pass it back with the SAME filter arguments; `null` means the last page. Changing a filter refuses the cursor." } }, "additionalProperties": false }, "output_schema": { "type": "object", "properties": { "tool": { "type": "string" }, "result_count": { "type": "integer" }, "rows": { "type": "array", "items": { "type": "object", "properties": { "node_id": { "type": [ "string", "null" ] }, "node_type": { "type": [ "string", "null" ] }, "label": { "type": [ "string", "null" ] }, "edge_type": { "type": [ "string", "null" ], "description": "Present only on a walk (when `node_id` was given)." }, "direction": { "type": [ "string", "null" ], "description": "`out` = node_id → neighbour, `in` = neighbour → node_id. Walk rows only." }, "citation_url": { "type": "string" }, "citation_scope": { "type": "string", "enum": [ "record", "section_hub" ] } } } }, "_meta": { "type": "object" }, "_attribution": { "type": "string" } }, "required": [ "tool", "result_count", "rows", "_attribution" ] }, "unit_kind": "mcp_tool", "effect": "read", "open_world": false, "idempotency": "idempotent", "confirmation": "explicit policy", "evidence_ids": [ "protocol-tools" ], "runtime_auth": {}, "pricing": {}, "metadata": {} }, { "name": "search_concepts", "title_en": "Search the SAP analytics concept encyclopaedia", "title_zh": "搜索SAP分析概念百科全书", "description_en": "Search the SAP analytics concept encyclopaedia, returning slug, title, category, level, tags and editor's summary.", "description_zh": "搜索SAP分析概念百科全书，返回slug、标题、类别、级别、标签和编辑摘要。", "input_schema": { "type": "object", "properties": { "query": { "type": "string", "maxLength": 200, "description": "Free-text filter, case-insensitive. EVERY word must appear in the record (substring per word, any order), so a natural-language phrase narrows the answer instead of having to match verbatim." }, "category": { "type": "string", "description": "Concept category, matched case-insensitively as an exact value OR a prefix — so category:\"datasphere\" reaches 'Datasphere Core'. The values are long human labels, not codes. DO NOT GUESS THEM FROM THIS TEXT: the live vocabulary with a row count per label comes back as `_meta.available_categories` on EVERY call, including a call that matched nothing. A list written here would say 14 labels with 2026-07-30 counts; the corpus holds 15 today, and five of those counts have moved. Read the envelope, not the prose." }, "limit": { "type": "integer", "minimum": 1, "maximum": 50, "default": 10, "description": "Max rows (hard cap 50)." }, "cursor": { "type": "string", "maxLength": 512, "description": "Opaque token from a previous response's `_meta.next_cursor`. Pass it back with the SAME filter arguments; `null` means the last page. Changing a filter refuses the cursor." } }, "additionalProperties": false }, "output_schema": { "type": "object", "properties": { "tool": { "type": "string" }, "result_count": { "type": "integer" }, "rows": { "type": "array", "items": { "type": "object", "properties": { "slug": { "type": [ "string", "null" ] }, "title": { "type": [ "string", "null" ] }, "citation_url": { "type": "string" }, "citation_scope": { "type": "string", "enum": [ "record", "section_hub" ] } } } }, "_meta": { "type": "object" }, "_attribution": { "type": "string" } }, "required": [ "tool", "result_count", "rows", "_attribution" ] }, "unit_kind": "mcp_tool", "effect": "read", "open_world": false, "idempotency": "idempotent", "confirmation": "explicit policy", "evidence_ids": [ "protocol-tools" ], "runtime_auth": {}, "pricing": {}, "metadata": {} }, { "name": "search_firms", "title_en": "Search the SAP analytics firm directory", "title_zh": "搜索SAP分析公司目录", "description_en": "Search the published Analytics Legends directory of SAP analytics service providers by country, kind, declared SAP module and free text. Returns name, HQ country/city, website, careers URL and a one-line editorial claim. Paginated.", "description_zh": "按国家、类型、声明的SAP模块和自由文本搜索已发布的Analytics Legends SAP分析服务提供商目录。返回名称、总部国家/城市、网站、职业URL和一行编辑声明。分页。", "input_schema": { "type": "object", "properties": { "query": { "type": "string", "maxLength": 200, "description": "Free-text filter, case-insensitive. EVERY word must appear in the record (substring per word, any order), so a natural-language phrase narrows the answer instead of having to match verbatim." }, "country": { "type": "string", "pattern": "^[A-Za-z]{2}$", "description": "ISO-3166-1 alpha-2 country code, e.g. DE, FR, CH." }, "kind": { "type": "string", "enum": [ "agency_placement", "professional_services_big4", "professional_services_esn", "vendor_sap", "vendor_partner", "platform_marketplace", "community_group", "client_enterprise", "other" ], "description": "Restrict to one organisation kind. This list is the vocabulary the corpus holds today, not a frontier — call list_firm_kinds for the live one. A malformed code is refused; a well-formed code the corpus does not hold returns no rows. Neither case is silently ignored, and neither widens the result." }, "module": { "type": "string", "description": "Restrict to organisations with a DECLARED link to one SAP module/product code (UPPERCASE snake_case, e.g. DATASPHERE, BDC, SAC, BW4HANA, S4HANA, JOULE — case-insensitive on input). The declared links are structured data, far more selective than free text: `count_firms_by {by:\"module\"}` gives the live vocabulary with counts. A minority of the directory declares any module at all, so this filter finds the DECLARED specialists — absence from the result means no declared link, never that the firm does not work on the module." }, "limit": { "type": "integer", "minimum": 1, "maximum": 50, "default": 10, "description": "Max rows (hard cap 50)." }, "cursor": { "type": "string", "maxLength": 512, "description": "Opaque token from a previous response's `_meta.next_cursor`. Pass it back with the SAME filter arguments; `null` means the last page. Changing a filter refuses the cursor." } }, "additionalProperties": false }, "output_schema": { "type": "object", "properties": { "tool": { "type": "string" }, "result_count": { "type": "integer" }, "rows": { "type": "array", "items": { "type": "object", "properties": { "slug": { "type": [ "string", "null" ] }, "name": { "type": [ "string", "null" ] }, "kind": { "type": [ "string", "null" ] }, "hq_country": { "type": [ "string", "null" ] }, "hq_city": { "type": [ "string", "null" ] }, "region": { "type": [ "string", "null" ] }, "website": { "type": [ "string", "null" ] }, "jobs_url": { "type": [ "string", "null" ] }, "claim": { "type": [ "string", "null" ] }, "size_bracket": { "type": [ "string", "null" ] }, "founded_year": { "type": [ "integer", "null" ] }, "sap_signal_band": { "type": [ "string", "null" ] }, "last_verified_at": { "type": [ "string", "null" ] }, "citation_url": { "type": "string" }, "citation_scope": { "type": "string", "enum": [ "record", "section_hub" ] } } } }, "_meta": { "type": "object" }, "_attribution": { "type": "string" } }, "required": [ "tool", "result_count", "rows", "_attribution" ] }, "unit_kind": "mcp_tool", "effect": "read", "open_world": false, "idempotency": "idempotent", "confirmation": "explicit policy", "evidence_ids": [ "protocol-tools" ], "runtime_auth": {}, "pricing": {}, "metadata": {} }, { "name": "search_news", "title_en": "Search SAP analytics market news", "title_zh": "搜索SAP分析市场新闻", "description_en": "Search the Analytics Legends market-news corpus, watched for SAP analytics but not all-SAP; returns items with citation URLs.", "description_zh": "搜索Analytics Legends市场新闻语料库，关注SAP分析但不限于SAP；返回带有引用URL的条目。", "input_schema": { "type": "object", "properties": { "query": { "type": "string", "maxLength": 200, "description": "Free-text filter, case-insensitive. EVERY word must appear in the record (substring per word, any order), so a natural-language phrase narrows the answer instead of having to match verbatim." }, "category": { "type": "string", "description": "Category code, matched case-insensitively. The live vocabulary is NOT written here — read `_meta.available_categories` on any response: every category label this corpus holds right now, with its active-row count, counted at query time. A written list held 21 values while the corpus held 22. One bucket needs a warning. 'SAC' is the noisiest label in this corpus because the acronym collides with unrelated ones — Windows 'Smart App Control', and the surname 'Sacks'. A 2026-07-30 cleanup reclassified half that bucket to AI for carrying no SAP signal at all; the collision pressure is structural and the bucket has kept growing since. For genuine SAC product news, pair category:'SAC' with query:'analytics cloud'." }, "published_since": { "type": "string", "description": "Lower bound on `published_at`, inclusive, as YYYY-MM-DD. Without a bound a period question is only answerable by walking pages — and `_meta.match_count` then counts the QUERY, not the period, so any figure quoted for the window would be wrong." }, "published_until": { "type": "string", "description": "Upper bound on `published_at`, INCLUSIVE of the day named, as YYYY-MM-DD. Combine with `published_since` for a window; `_meta.match_count` then describes that window, which is what makes it quotable." }, "limit": { "type": "integer", "minimum": 1, "maximum": 50, "default": 10, "description": "Max rows (hard cap 50)." }, "cursor": { "type": "string", "maxLength": 512, "description": "Opaque token from a previous response's `_meta.next_cursor`. Pass it back with the SAME filter arguments; `null` means the last page. Changing a filter refuses the cursor." } }, "additionalProperties": false }, "output_schema": { "type": "object", "properties": { "tool": { "type": "string" }, "result_count": { "type": "integer" }, "rows": { "type": "array", "items": { "type": "object", "properties": { "title": { "type": [ "string", "null" ] }, "published_at": { "type": [ "string", "null" ] }, "source_name": { "type": [ "string", "null" ] }, "source_url": { "type": [ "string", "null" ] }, "citation_url": { "type": "string" }, "citation_scope": { "type": "string", "enum": [ "record", "section_hub" ] } } } }, "_meta": { "type": "object" }, "_attribution": { "type": "string" } }, "required": [ "tool", "result_count", "rows", "_attribution" ] }, "unit_kind": "mcp_tool", "effect": "read", "open_world": false, "idempotency": "idempotent", "confirmation": "explicit policy", "evidence_ids": [ "protocol-tools" ], "runtime_auth": {}, "pricing": {}, "metadata": {} } ], "review_profile": { "schema_version": "aiworkshub.resource-review/0.2", "method_version": "capability-evidence-v2", "review_state": { "identity": "verified", "source": "verified", "connectivity": "verified", "contract": "strong", "safe_use": "tested", "real_use": "unobserved" }, "assessment": { "capability_definition": "strong", "contract_completeness": "strong", "access_friction": "low", "operational_transparency": "strong", "evidence_strength": "protocol_inspected", "use_readiness": "ready_for_guidance" }, "profile": { "capabilities": [ { "id": "data.search", "weight": 90, "confidence": 95, "evidence_ids": [ "source-record", "protocol-tools" ] }, { "id": "data.retrieve", "weight": 90, "confidence": 95, "evidence_ids": [ "source-record", "protocol-tools" ] }, { "id": "data.analyze", "weight": 80, "confidence": 90, "evidence_ids": [ "source-record", "protocol-tools" ] }, { "id": "data.discover", "weight": 70, "confidence": 85, "evidence_ids": [ "source-record", "protocol-tools" ] }, { "id": "knowledge.retrieve", "weight": 70, "confidence": 85, "evidence_ids": [ "source-record", "protocol-tools" ] } ], "domains": [ { "id": "sap-analytics", "weight": 100, "confidence": 95, "evidence_ids": [ "source-record", "protocol-tools" ] }, { "id": "market-intelligence", "weight": 80, "confidence": 90, "evidence_ids": [ "source-record", "protocol-tools" ] }, { "id": "recruitment", "weight": 60, "confidence": 80, "evidence_ids": [ "source-record", "protocol-tools" ] }, { "id": "training", "weight": 50, "confidence": 75, "evidence_ids": [ "source-record", "protocol-tools" ] } ], "workflow_roles": [ "discover", "retrieve", "analyze" ] }, "capability_units": [ { "id": "tool:search_firms", "kind": "mcp_tool", "capability_id": "data.search", "effect": "read", "open_world": false, "idempotency": "idempotent", "confirmation": "explicit policy", "input_contract": "typed", "output_contract": "typed", "accepts": [ "text query", "country code", "kind enum", "module code", "pagination cursor" ], "produces": [ "firm records with metadata" ], "runtime_auth": {}, "pricing": {}, "evidence_ids": [ "protocol-tools" ], "metadata": {} }, { "id": "tool:count_firms_by", "kind": "mcp_tool", "capability_id": "data.analyze", "effect": "read", "open_world": false, "idempotency": "idempotent", "confirmation": "explicit policy", "input_contract": "typed", "output_contract": "typed", "accepts": [ "facet enum", "optional filters" ], "produces": [ "counts per bucket" ], "runtime_auth": {}, "pricing": {}, "evidence_ids": [ "protocol-tools" ], "metadata": {} }, { "id": "tool:get_firm", "kind": "mcp_tool", "capability_id": "data.retrieve", "effect": "read", "open_world": false, "idempotency": "idempotent", "confirmation": "explicit policy", "input_contract": "typed", "output_contract": "typed", "accepts": [ "slug" ], "produces": [ "firm profile" ], "runtime_auth": {}, "pricing": {}, "evidence_ids": [ "protocol-tools" ], "metadata": {} }, { "id": "tool:list_firm_kinds", "kind": "mcp_tool", "capability_id": "data.discover", "effect": "read", "open_world": false, "idempotency": "idempotent", "confirmation": "explicit policy", "input_contract": "typed", "output_contract": "typed", "accepts": [], "produces": [ "kind counts" ], "runtime_auth": {}, "pricing": {}, "evidence_ids": [ "protocol-tools" ], "metadata": {} }, { "id": "tool:list_freelance_platforms", "kind": "mcp_tool", "capability_id": "data.search", "effect": "read", "open_world": false, "idempotency": "idempotent", "confirmation": "explicit policy", "input_contract": "typed", "output_contract": "typed", "accepts": [ "country code", "platform type", "pagination cursor" ], "produces": [ "platform records" ], "runtime_auth": {}, "pricing": {}, "evidence_ids": [ "protocol-tools" ], "metadata": {} }, { "id": "tool:find_opportunities", "kind": "mcp_tool", "capability_id": "data.search", "effect": "read", "open_world": false, "idempotency": "idempotent", "confirmation": "explicit policy", "input_contract": "typed", "output_contract": "typed", "accepts": [ "text query", "location", "country code", "employment type", "remote mode", "pagination cursor" ], "produces": [ "job posting records" ], "runtime_auth": {}, "pricing": {}, "evidence_ids": [ "protocol-tools" ], "metadata": {} }, { "id": "tool:search_news", "kind": "mcp_tool", "capability_id": "data.search", "effect": "read", "open_world": false, "idempotency": "idempotent", "confirmation": "explicit policy", "input_contract": "typed", "output_contract": "typed", "accepts": [ "text query", "category", "date range", "pagination cursor" ], "produces": [ "news article records" ], "runtime_auth": {}, "pricing": {}, "evidence_ids": [ "protocol-tools" ], "metadata": {} }, { "id": "tool:search_concepts", "kind": "mcp_tool", "capability_id": "knowledge.retrieve", "effect": "read", "open_world": false, "idempotency": "idempotent", "confirmation": "explicit policy", "input_contract": "typed", "output_contract": "typed", "accepts": [ "text query", "category", "pagination cursor" ], "produces": [ "concept metadata records" ], "runtime_auth": {}, "pricing": {}, "evidence_ids": [ "protocol-tools" ], "metadata": {} }, { "id": "tool:get_concept", "kind": "mcp_tool", "capability_id": "knowledge.retrieve", "effect": "read", "open_world": false, "idempotency": "idempotent", "confirmation": "explicit policy", "input_contract": "typed", "output_contract": "typed", "accepts": [ "slug" ], "produces": [ "concept metadata and summary" ], "runtime_auth": {}, "pricing": {}, "evidence_ids": [ "protocol-tools" ], "metadata": {} }, { "id": "tool:list_studies", "kind": "mcp_tool", "capability_id": "data.discover", "effect": "read", "open_world": false, "idempotency": "idempotent", "confirmation": "explicit policy", "input_contract": "typed", "output_contract": "typed", "accepts": [ "text query", "language", "pagination cursor" ], "produces": [ "study metadata records" ], "runtime_auth": {}, "pricing": {}, "evidence_ids": [ "protocol-tools" ], "metadata": {} }, { "id": "tool:get_day_rate_benchmark", "kind": "mcp_tool", "capability_id": "data.retrieve", "effect": "read", "open_world": true, "idempotency": "idempotent", "confirmation": "explicit policy", "input_contract": "typed", "output_contract": "typed", "accepts": [ "country code", "specialisation", "seniority" ], "produces": [ "rate benchmark records" ], "runtime_auth": {}, "pricing": {}, "evidence_ids": [ "protocol-tools" ], "metadata": {} }, { "id": "tool:list_sap_modules", "kind": "mcp_tool", "capability_id": "knowledge.retrieve", "effect": "read", "open_world": false, "idempotency": "idempotent", "confirmation": "explicit policy", "input_contract": "typed", "output_contract": "typed", "accepts": [ "text query", "pagination cursor" ], "produces": [ "module taxonomy records" ], "runtime_auth": {}, "pricing": {}, "evidence_ids": [ "protocol-tools" ], "metadata": {} }, { "id": "tool:find_academy_modules", "kind": "mcp_tool", "capability_id": "data.search", "effect": "read", "open_world": false, "idempotency": "idempotent", "confirmation": "explicit policy", "input_contract": "typed", "output_contract": "typed", "accepts": [ "text query", "track", "level", "pagination cursor" ], "produces": [ "academy module catalogue records" ], "runtime_auth": {}, "pricing": {}, "evidence_ids": [ "protocol-tools" ], "metadata": {} }, { "id": "tool:query_knowledge_graph", "kind": "mcp_tool", "capability_id": "data.analyze", "effect": "read", "open_world": false, "idempotency": "idempotent", "confirmation": "explicit policy", "input_contract": "typed", "output_contract": "typed", "accepts": [ "node id", "node type", "edge type", "direction", "text query", "pagination cursor" ], "produces": [ "graph nodes and edges" ], "runtime_auth": {}, "pricing": {}, "evidence_ids": [ "protocol-tools" ], "metadata": {} }, { "id": "tool:get_concept_card", "kind": "mcp_tool", "capability_id": "knowledge.retrieve", "effect": "read", "open_world": false, "idempotency": "idempotent", "confirmation": "explicit policy", "input_contract": "typed", "output_contract": "typed", "accepts": [ "slug" ], "produces": [ "full concept card" ], "runtime_auth": {}, "pricing": {}, "evidence_ids": [ "protocol-tools" ], "metadata": {} }, { "id": "tool:get_study", "kind": "mcp_tool", "capability_id": "knowledge.retrieve", "effect": "read", "open_world": false, "idempotency": "idempotent", "confirmation": "explicit policy", "input_contract": "typed", "output_contract": "typed", "accepts": [ "slug", "language", "section" ], "produces": [ "study sections" ], "runtime_auth": {}, "pricing": {}, "evidence_ids": [ "protocol-tools" ], "metadata": {} }, { "id": "tool:get_academy_module", "kind": "mcp_tool", "capability_id": "knowledge.retrieve", "effect": "read", "open_world": false, "idempotency": "idempotent", "confirmation": "explicit policy", "input_contract": "typed", "output_contract": "typed", "accepts": [ "module id or slug" ], "produces": [ "full academy module" ], "runtime_auth": {}, "pricing": {}, "evidence_ids": [ "protocol-tools" ], "metadata": {} }, { "id": "tool:find_sap_clients", "kind": "mcp_tool", "capability_id": "data.search", "effect": "read", "open_world": false, "idempotency": "idempotent", "confirmation": "explicit policy", "input_contract": "typed", "output_contract": "typed", "accepts": [ "text query", "country code", "industry", "product enum", "pagination cursor" ], "produces": [ "SAP end-customer records" ], "runtime_auth": {}, "pricing": {}, "evidence_ids": [ "protocol-tools" ], "metadata": {} }, { "id": "tool:get_sap_client_profile", "kind": "mcp_tool", "capability_id": "data.retrieve", "effect": "read", "open_world": false, "idempotency": "idempotent", "confirmation": "explicit policy", "input_contract": "typed", "output_contract": "typed", "accepts": [ "id" ], "produces": [ "SAP end-customer profile" ], "runtime_auth": {}, "pricing": {}, "evidence_ids": [ "protocol-tools" ], "metadata": {} }, { "id": "tool:get_firm_intel", "kind": "mcp_tool", "capability_id": "data.retrieve", "effect": "read", "open_world": false, "idempotency": "idempotent", "confirmation": "explicit policy", "input_contract": "typed", "output_contract": "typed", "accepts": [ "name", "country code", "delivers enum", "mode enum", "pagination cursor" ], "produces": [ "firm intelligence profile" ], "runtime_auth": {}, "pricing": {}, "evidence_ids": [ "protocol-tools" ], "metadata": {} } ], "access": {}, "operational_flags": [], "trust": { "signal": "none", "evidence_ids": [], "reason": "No suspicious or malicious evidence." }, "fit": { "good_for": [ "SAP analytics market research", "Finding SAP service providers and end customers", "Searching SAP job opportunities", "Learning SAP analytics concepts and training" ], "not_for": [ "General SAP news (corpus is not all-SAP)", "Certification data (not provided)", "Contacting individuals (never served)" ] }, "evidence": [ { "id": "source-record", "type": "registry_record", "source": "https://github.com/analyticslegends/analytics-legends-mcp", "observation": "MCP source record for Analytics Legends — SAP Analytics Intelligence; version 1.0.6.", "observed_at": null, "payload": {} }, { "id": "protocol-tools", "type": "protocol_observation", "source": "https://analyticslegends.ai/mcp#tools/list", "observation": "20 tools were returned by MCP discovery; 20 were retained for review.", "observed_at": "2026-09-03T06:20:01.619Z", "payload": {} } ], "unknowns": [ "Exact pricing details for Legend tier not specified in evidence.", "Real-world usage patterns not observed.", "Data freshness and update frequency not fully verified." ], "id": "REV_29AD67E74903", "resource_id": "RES_44263379B6DF", "evaluator_type": "platform_ai", "provider": "deepseek", "model": "deepseek-v4-flash", "review_scope": "protocol-inspected-mcp", "created_at": "2026-09-03T06:32:04.697Z" } } }