{
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    "id": "RES_DF6B087ED6CF",
    "resource_type": "mcp_server",
    "canonical_url": "https://registry.modelcontextprotocol.io/v0.1/servers/ai.agentlookups%2Fgroundtruth/versions/1.0.1",
    "name": "GroundTruth - Environmental Records",
    "summary_en": "Federal environmental records near any US location, with dates and provenance; never a safety score.",
    "summary_zh": "美国任何地点附近的联邦环境记录，包含日期和来源；绝不提供安全评分。",
    "description_en": "GroundTruth - Environmental Records is an MCP server that provides federal environmental records near any US location, including Superfund/NPL sites, TRI toxic-release facilities, and facilities flagged for significant noncompliance. It also offers public water system information with SDWA violation summaries, and a due-diligence layer scoring various environmental and quality-of-life factors. The server exposes three tools: environment_near, drinking_water, and due_diligence. All tools are read-only and advisory, with no write or external actions. Authentication and pricing are unknown. The server was verified as healthy via MCP protocol inspection.",
    "description_zh": "GroundTruth - Environmental Records 是一个 MCP 服务器，提供美国任何地点附近的联邦环境记录，包括超级基金/国家优先清单（NPL）场地、有毒物质释放清单（TRI）设施以及被标记为严重不合规的设施。它还提供公共供水系统信息及 SDWA 违规摘要，以及针对各种环境和生活质量因素的尽职调查层评分。该服务器公开了三个工具：environment_near、drinking_water 和 due_diligence。所有工具均为只读和咨询性质，无写入或外部操作。认证和定价未知。该服务器已通过 MCP 协议检查验证为健康。",
    "provider_name": "ai.agentlookups",
    "homepage_url": "https://env.agentlookups.ai/",
    "endpoint_url": "https://env.agentlookups.ai/mcp",
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    "icon_url": null,
    "cover_image_url": null,
    "capabilities": [
      "environmental.records.query",
      "water.quality.query",
      "due.diligence.analysis"
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    "categories": [
      "data",
      "research"
    ],
    "industries": [
      "public-sector"
    ],
    "protocols": [
      "mcp"
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    "auth": {
      "type": "unknown"
    },
    "pricing": {
      "model": "unknown"
    },
    "input_schema": {},
    "output_schema": {},
    "metadata": {
      "content_language": "en",
      "translation_status": "original-only",
      "official_registry": {
        "version": "1.0.1",
        "packages": [],
        "remotes": []
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      "review_gate": {
        "passed": true,
        "reasons": [],
        "policy_version": "review-gate-v1",
        "evaluated_at": "2026-09-03T06:01:15.647Z"
      }
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    "latest_version": "1.0.1",
    "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
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    "review_summary": {
      "method_version": "capability-evidence-v2",
      "capability_definition": "strong",
      "contract_completeness": "strong",
      "access_friction": "unknown",
      "operational_transparency": "partial",
      "evidence_strength": "protocol_inspected",
      "use_readiness": "ready_for_guidance",
      "reviewed_at": "2026-09-03T06:01:16.640Z"
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    "experience_count": 0,
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    "usage_count": 0,
    "success_rate": null,
    "first_seen_at": "2026-09-03T02:49:29.331Z",
    "last_seen_at": "2026-09-03T06:01:15.887Z",
    "published_at": "2026-09-03T06:01:15.887Z",
    "created_at": "2026-09-03T02:49:29.331Z",
    "updated_at": "2026-09-03T06:01:16.640Z",
    "api_url": "https://aiworkshub.io/api/v1/resources/RES_DF6B087ED6CF",
    "reviews_url": "https://aiworkshub.io/api/v1/resources/RES_DF6B087ED6CF/reviews",
    "public_url": "https://aiworkshub.io/resources/RES_DF6B087ED6CF",
    "distribution": {
      "canonical_identity": "https://registry.modelcontextprotocol.io/v0.1/servers/ai.agentlookups%2Fgroundtruth/versions/1.0.1",
      "syndicatable": true,
      "origins": [
        {
          "registry_url": "https://registry.modelcontextprotocol.io/",
          "upstream_resource_id": "ai.agentlookups/groundtruth@1.0.1",
          "upstream_record_url": "https://registry.modelcontextprotocol.io/v0.1/servers/ai.agentlookups%2Fgroundtruth/versions/1.0.1",
          "relation": "syndicated",
          "metadata": {
            "source": "official-mcp-registry"
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          "last_seen_at": "2026-09-03T06:01:15.887Z"
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        "name": "drinking_water",
        "title_en": "Drinking Water",
        "title_zh": "饮用水",
        "description_en": "Public water systems serving a US state + county and/or city, with health-based SDWA violation summaries. Matching is approximate (service boundaries are not public); the user's water bill names their actual utility.",
        "description_zh": "服务美国州+县和/或城市的公共供水系统，附基于健康的 SDWA 违规摘要。匹配是近似的（服务边界不公开）；用户的水费单上标明了实际公用事业公司。",
        "input_schema": {
          "properties": {
            "city": {
              "description": "City served (optional)",
              "type": "string"
            },
            "county": {
              "description": "County name (optional)",
              "type": "string"
            },
            "state": {
              "description": "Two-letter state code, e.g. MD",
              "type": "string"
            }
          },
          "required": [
            "state"
          ],
          "type": "object"
        },
        "output_schema": {},
        "unit_kind": "mcp_tool",
        "effect": "unknown",
        "open_world": false,
        "idempotency": "idempotent",
        "confirmation": "explicit policy",
        "evidence_ids": [
          "protocol-tools"
        ],
        "runtime_auth": {},
        "pricing": {},
        "metadata": {}
      },
      {
        "name": "due_diligence",
        "title_en": "Due Diligence",
        "title_zh": "尽职调查",
        "description_en": "Address due-diligence layer scores for a US location: school quality, natural hazards, groundwater contamination, Superfund proximity, air quality, highway noise, walkability, crime, and climate pleasantness (pleasant days/year). Scores are 0-1 with 1.0 = favorable; null = cannot score that layer here. no_coverage flags placeholder values machine-readably; relay caveats verbatim. Coverage: Superfund/toxic-release proximity national; other environmental layers CA/Bay Area; schools all 50 states and DC (2023-2025 results); climate CONUS (no AK/HI); crime SF/Oakland/Chicago. Pass EITHER a street address (geocoded via the US Census geocoder) OR lat/lon coordinates.",
        "description_zh": "针对美国地点的地址尽职调查层评分：学校质量、自然灾害、地下水污染、超级基金邻近度、空气质量、高速公路噪音、步行便利性、犯罪率和气候宜人度（每年宜人天数）。评分范围为 0-1，1.0 表示有利；null 表示无法在此处对该层评分。no_coverage 以机器可读方式标记占位值；请逐字转达注意事项。覆盖范围：超级基金/有毒物质释放邻近度全国；其他环境层覆盖加州/湾区；学校覆盖所有 50 州和华盛顿特区（2023-2025 年结果）；气候覆盖美国本土（不含阿拉斯加/夏威夷）；犯罪覆盖旧金山/奥克兰/芝加哥。传入街道地址（通过美国人口普查地理编码器）或经纬度坐标。",
        "input_schema": {
          "properties": {
            "address": {
              "description": "US street address incl. city/state (alternative to lat/lon)",
              "type": "string"
            },
            "lat": {
              "description": "Latitude (US)",
              "type": "number"
            },
            "lon": {
              "description": "Longitude (US, negative)",
              "type": "number"
            }
          },
          "type": "object"
        },
        "output_schema": {},
        "unit_kind": "mcp_tool",
        "effect": "unknown",
        "open_world": false,
        "idempotency": "idempotent",
        "confirmation": "explicit policy",
        "evidence_ids": [
          "protocol-tools"
        ],
        "runtime_auth": {},
        "pricing": {},
        "metadata": {}
      },
      {
        "name": "environment_near",
        "title_en": "Environment Near",
        "title_zh": "附近环境",
        "description_en": "Federal environmental records within a radius of a US location: Superfund/NPL sites, TRI toxic-release facilities, and facilities currently flagged for significant noncompliance. Pass EITHER a street address (geocoded via the US Census geocoder) OR lat/lon coordinates.",
        "description_zh": "美国某地点半径范围内的联邦环境记录：超级基金/国家优先清单场地、有毒物质释放清单设施以及当前被标记为严重不合规的设施。传入街道地址（通过美国人口普查地理编码器）或经纬度坐标。",
        "input_schema": {
          "properties": {
            "address": {
              "description": "US street address incl. city/state (alternative to lat/lon)",
              "type": "string"
            },
            "lat": {
              "description": "Latitude (US)",
              "type": "number"
            },
            "lon": {
              "description": "Longitude (US, negative)",
              "type": "number"
            },
            "radius_km": {
              "description": "Search radius in km (default 10, max 50)",
              "type": "number"
            }
          },
          "type": "object"
        },
        "output_schema": {},
        "unit_kind": "mcp_tool",
        "effect": "unknown",
        "open_world": false,
        "idempotency": "idempotent",
        "confirmation": "explicit policy",
        "evidence_ids": [
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        "runtime_auth": {},
        "pricing": {},
        "metadata": {}
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      "method_version": "capability-evidence-v2",
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        "identity": "verified",
        "source": "verified",
        "connectivity": "verified",
        "contract": "strong",
        "safe_use": "tested",
        "real_use": "unobserved"
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      "assessment": {
        "capability_definition": "strong",
        "contract_completeness": "strong",
        "access_friction": "unknown",
        "operational_transparency": "partial",
        "evidence_strength": "protocol_inspected",
        "use_readiness": "ready_for_guidance"
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            "confidence": 90,
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          {
            "id": "real-estate-due-diligence",
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            "confidence": 90,
            "evidence_ids": [
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          "input_contract": "typed",
          "output_contract": "typed_envelope_dynamic_result",
          "accepts": [
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          "runtime_auth": {},
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          "accepts": [
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            "county",
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          ],
          "produces": [
            "water system information"
          ],
          "runtime_auth": {},
          "pricing": {},
          "evidence_ids": [
            "protocol-tools"
          ],
          "metadata": {}
        },
        {
          "id": "tool:due_diligence",
          "kind": "mcp_tool",
          "capability_id": "due.diligence.analysis",
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          "idempotency": "idempotent",
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      ],
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        "runtime_auth": {},
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        "dependencies": []
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      "trust": {
        "signal": "none",
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          "Regulatory compliance checks"
        ],
        "not_for": [
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        },
        {
          "id": "protocol-tools",
          "type": "protocol_observation",
          "source": "https://env.agentlookups.ai/mcp#tools/list",
          "observation": "3 tools were returned by MCP discovery; 3 were retained for review.",
          "observed_at": "2026-09-03T05:52:09.999Z",
          "payload": {}
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        "Pricing model",
        "Output schema details",
        "Rate limits and usage policies",
        "Data update frequency",
        "Exact coverage of environmental layers beyond stated regions"
      ],
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}