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ESG MCP Servers

MCP ServerMCP Registry官方收录

io.github.freminder/esg-mcp-servers · v0.1.2

31 MCP tools for ESG data extraction, PDF processing, vector search, and EU regulation analysis.

源仓库 ↗

概览

ESG MCP Servers 是一个MCP Server，收录自 官方 MCP Registry。支持 stdio 传输。本页提供 Cursor、Claude Code 等客户端的安装配置片段。

安装

选择你的平台查看安装方式

{
  "mcpServers": {
    "esg-mcp-servers": {
      "command": "uvx",
      "args": [
        "esg-mcp-servers"
      ],
      "env": {
        "ANTHROPIC_API_KEY": "<ANTHROPIC_API_KEY>",
        "POSTGRES_DSN": "<POSTGRES_DSN>",
        "MONGODB_URI": "<MONGODB_URI>"
      }
    }
  }
}

环境变量

ANTHROPIC_API_KEY必填secret

Anthropic API key — required for RAG queries and LLM-based metric extraction

POSTGRES_DSN必填

PostgreSQL connection string with pgvector extension (e.g. postgresql://esg:esg@localhost/esg_platform)

MONGODB_URI必填

MongoDB connection string for PDF binary storage via GridFS (e.g. mongodb://localhost:27017)

EMBEDDING_MODEL可选

Sentence-transformer model name for embedding generation (default: Snowflake/snowflake-arctic-embed-l-v2.0)

EMBEDDING_DIMENSIONS可选

Embedding vector dimension size (default: 1024)

相关资源

统一 Manifest

{
  "id": "io.github.freminder/esg-mcp-servers",
  "type": "mcp-server",
  "version": "0.1.2",
  "displayName": "ESG MCP Servers",
  "description": "31 MCP tools for ESG data extraction, PDF processing, vector search, and EU regulation analysis.",
  "repository": {
    "url": "https://github.com/freminder/esg-mcp-servers",
    "source": "github"
  },
  "distribution": {
    "packages": [
      {
        "registryType": "pypi",
        "identifier": "esg-mcp-servers",
        "version": "0.1.2",
        "transport": "stdio",
        "environmentVariables": [
          {
            "name": "ANTHROPIC_API_KEY",
            "description": "Anthropic API key — required for RAG queries and LLM-based metric extraction",
            "isRequired": true,
            "isSecret": true
          },
          {
            "name": "POSTGRES_DSN",
            "description": "PostgreSQL connection string with pgvector extension (e.g. postgresql://esg:esg@localhost/esg_platform)",
            "isRequired": true
          },
          {
            "name": "MONGODB_URI",
            "description": "MongoDB connection string for PDF binary storage via GridFS (e.g. mongodb://localhost:27017)",
            "isRequired": true
          },
          {
            "name": "EMBEDDING_MODEL",
            "description": "Sentence-transformer model name for embedding generation (default: Snowflake/snowflake-arctic-embed-l-v2.0)"
          },
          {
            "name": "EMBEDDING_DIMENSIONS",
            "description": "Embedding vector dimension size (default: 1024)"
          }
        ]
      }
    ],
    "remotes": []
  },
  "dependencies": [],
  "installTargets": [
    "claude-code",
    "claude-desktop",
    "cursor",
    "vscode"
  ],
  "keywords": [],
  "provenance": {
    "origin": "official-mcp-registry",
    "originalId": "io.github.freminder/esg-mcp-servers",
    "originalUrl": "https://registry.modelcontextprotocol.io/v0.1/servers/io.github.freminder%2Fesg-mcp-servers/versions/latest",
    "isOfficial": true,
    "status": "active"
  }
}
ESG MCP Servers — MCP Server 安装与配置 · AgentHub