esg-mcp-servers

esg-mcp-servers

Open-source MCP servers for ESG data extraction, analysis, and regulation management, providing 31 tools across 6 servers for tasks like metrics extraction, PDF processing, vector storage, and web scraping.

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ESG MCP Servers

<!-- mcp-name: io.github.freminder/esg-mcp-servers -->

Open-source Model Context Protocol servers for ESG (Environmental, Social, and Governance) data extraction, analysis, and regulation management.

31 tools across 6 servers — install once, run only what you need.

Author: Ioannis Michos (johnmichos.tf@gmail.com)

Quick Start

pip install esg-mcp-servers

Prerequisites

Service Required for
PostgreSQL 16 + pgvector Vector storage, metrics, regulations
MongoDB 7 PDF binary storage (GridFS)
Anthropic API key RAG queries, metric extraction

Spin up local databases with Docker:

docker compose up -d

Run the database migration:

esg-mcp-migrate

Environment Variables

Copy .env.example and fill in your values:

cp .env.example .env

Key variables:

Variable Default Description
POSTGRES_DSN postgresql://esg:esg@localhost/esg_platform PostgreSQL connection string
MONGODB_URI mongodb://localhost:27017 MongoDB connection string
ANTHROPIC_API_KEY Required for RAG and LLM extraction
EMBEDDING_MODEL Snowflake/snowflake-arctic-embed-l-v2.0 Sentence-transformer model
EMBEDDING_DIMENSIONS 1024 Embedding vector size

Servers & Tools

esg-metrics-extractor (11 tools)

ESRS-aligned KPI extraction for emissions, energy, water, waste, social, and governance domains.

Tool Description
extract_emissions_data GHG Scope 1, 2, 3 extraction
extract_energy_data Energy consumption & renewables (ESRS E2)
extract_water_data Water withdrawal, discharge, consumption (ESRS E3)
extract_waste_data Waste generation, recycling, landfill (ESRS E5)
extract_social_data Workforce, diversity, H&S (ESRS S1)
extract_governance_data Board composition & governance (ESRS G1)
answer_esg_query Free-text RAG Q&A over documents
keyword_similarity_search Semantic keyword search in documents
detect_query_domain Classify query into ESG domain
detect_emissions_query_type Detect emissions scope/year from query
batch_extract_metrics Extract all KPIs and persist to DB

esg-pdf-processor (5 tools)

PDF validation, text/table extraction, and embedding generation.

Tool Description
verify_esg_report RandomForest ESG report classifier
extract_text_chunks Extract and chunk PDF text
extract_tables Table extraction with OCR fallback
generate_embeddings Batch embedding generation
process_pdf_full_pipeline End-to-end: extract, embed, store

esg-vector-store (5 tools)

pgvector CRUD operations for document chunks and query cache.

Tool Description
upsert_document_chunks Insert/update chunks with embeddings
similarity_search Cosine similarity search
get_cached_query_response Retrieve cached LLM responses
cache_query_response Store LLM response in cache
list_documents List indexed documents

esg-regulations (5 tools)

EU ESG regulation download, ingestion, and semantic search.

Tool Description
download_regulation Download regulation PDF from EUR-Lex
download_all_regulations Batch download all configured regulations
ingest_regulation Extract, parse articles, embed, store
search_regulation_text Semantic search across regulation articles
list_regulations List ingested regulations

esg-scraper (5 tools)

ESG report discovery and download from the web.

Tool Description
search_esg_reports Multi-engine search for ESG PDFs
crawl_company_website Deep-crawl website for PDF links
download_pdf Download PDF and store in GridFS
get_scraping_status Check scrape job status
cancel_scraping_job Cancel running scrape job

esg-mcp-all (31 tools)

All tools from all servers in a single process.

Claude Desktop Configuration

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "esg-metrics": {
      "command": "esg-metrics-extractor"
    },
    "esg-pdf": {
      "command": "esg-pdf-processor"
    },
    "esg-vectors": {
      "command": "esg-vector-store"
    },
    "esg-regulations": {
      "command": "esg-regulations"
    },
    "esg-scraper": {
      "command": "esg-scraper"
    }
  }
}

Or use the combined server for all tools:

{
  "mcpServers": {
    "esg": {
      "command": "esg-mcp-all"
    }
  }
}

Optional: Scraper Dependencies

The scraper server requires Selenium for JavaScript-heavy sites:

pip install esg-mcp-servers[scraper]

Development

git clone https://github.com/freminder/esg-mcp-servers.git
cd esg-mcp-servers
pip install -e ".[scraper,dev]"
docker compose up -d
esg-mcp-migrate

License

MIT — see LICENSE.

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