ESG MCP Servers

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

• Connection: Runs on your computer
• Transport: stdio
• Category: Search & AI memory
• You need to fill in: ANTHROPIC_API_KEY, POSTGRES_DSN, MONGODB_URI

Install

Pick the AI app you use, then copy the settings.

You need

• PyPIPython’s uv installed (for the uvx command)

Which app do you use?

{
  "mcpServers": {
    "esg-servers": {
      "command": "uvx",
      "args": [
        "esg-mcp-servers"
      ],
      "env": {
        "ANTHROPIC_API_KEY": "your-value",
        "POSTGRES_DSN": "your-value",
        "MONGODB_URI": "your-value",
        "EMBEDDING_MODEL": "your-value",
        "EMBEDDING_DIMENSIONS": "your-value"
      }
    }
  }
}

claude mcp add esg-servers --env ANTHROPIC_API_KEY=your-value --env POSTGRES_DSN=your-value --env MONGODB_URI=your-value --env EMBEDDING_MODEL=your-value --env EMBEDDING_DIMENSIONS=your-value -- uvx esg-mcp-servers

{
  "mcpServers": {
    "esg-servers": {
      "command": "uvx",
      "args": [
        "esg-mcp-servers"
      ],
      "env": {
        "ANTHROPIC_API_KEY": "your-value",
        "POSTGRES_DSN": "your-value",
        "MONGODB_URI": "your-value",
        "EMBEDDING_MODEL": "your-value",
        "EMBEDDING_DIMENSIONS": "your-value"
      }
    }
  }
}

{
  "servers": {
    "esg-servers": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "esg-mcp-servers"
      ],
      "env": {
        "ANTHROPIC_API_KEY": "your-value",
        "POSTGRES_DSN": "your-value",
        "MONGODB_URI": "your-value",
        "EMBEDDING_MODEL": "your-value",
        "EMBEDDING_DIMENSIONS": "your-value"
      }
    }
  }
}

Your choice stays on this device in a cookie; no account needed.

Values you fill in

• ANTHROPIC_API_KEY secret required env
  Anthropic API key — required for RAG queries and LLM-based metric extraction
• POSTGRES_DSN required env
  PostgreSQL connection string with pgvector extension (e.g. postgresql://esg:esg@localhost/esg_platform)
• MONGODB_URI required env
  MongoDB connection string for PDF binary storage via GridFS (e.g. mongodb://localhost:27017)
• EMBEDDING_MODEL env
  Sentence-transformer model name for embedding generation (default: Snowflake/snowflake-arctic-embed-l-v2.0)
• EMBEDDING_DIMENSIONS env
  Embedding vector dimension size (default: 1024)

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026

• ✓ Pass

  Maker matches the repo

  The registry name was verified with the GitHub account freminder, which owns the repo

• … Not checked yet

  Still maintained

  We have not read this repo from GitHub yet

• … Not checked yet

  Has a licence

  We have not read this repo from GitHub yet

• – Not applicable

  Endpoint responds

  This one runs on your computer; there is no internet endpoint

• – Not applicable

  Sign-in with OAuth

  Runs on your computer and uses local settings instead

• … Not checked yet

  No hidden instructions in tool descriptions

  Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Search & AI memoryi

• More stars than 0% of the other 5676 servers in this category
• Published to the registry more recently than 4% of the other 5676 servers in this category
• Basic checks equal to or better than 100% of the other 5676 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

README from the maker

pip install esg-mcp-servers

docker compose up -d

esg-mcp-migrate

cp .env.example .env

{

{

pip install esg-mcp-servers[scraper]

git clone https://github.com/freminder/esg-mcp-servers.git