31 MCP tools for ESG data extraction, PDF processing, vector search, and EU regulation analysis.
io.github.freminder/esg-mcp-servers
https://github.com/freminder/esg-mcp-servers
STDIO
3 required env vars
Hosted endpoint — paste into any MCP client.
Configuration this server reads at startup.
Anthropic API key — required for RAG queries and LLM-based metric extraction
PostgreSQL connection string with pgvector extension (e.g. postgresql://esg:esg@localhost/esg_platform)
MongoDB connection string for PDF binary storage via GridFS (e.g. mongodb://localhost:27017)
Sentence-transformer model name for embedding generation (default: Snowflake/snowflake-arctic-embed-l-v2.0)
Embedding vector dimension size (default: 1024)
Where to find authoritative docs and source for ESG MCP Servers.
Open MCP Agent Studio and connect this server to Claude, GPT, Gemini, DeepSeek and more — no install required.
Open Agent Studio