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ESG MCP Servers

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

Connector by freminder · GitHub account verified by the MCP Registry

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Works with Claude Code, Codex, VS Code, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.

npx agentmarket install connector/freminder-esg-mcp-servers

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

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

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this server can do and what it asks for, from its tool list and install config. Checked Oct 25, 2026.

Tools
21 read · 6 write · 0 delete · 4 not yet classified
Secrets
1 (API keys, tokens or passwords)
Install scripts
Not scanned yet
Runs as
Python package

Tools by what they do 31

Read from the source code; the running server may list different tools.

Read 21 · Look things up without changing anything.

  • answer_esg_query
  • batch_extract_metrics
  • detect_emissions_query_type
  • detect_query_domain
  • extract_emissions_data
  • extract_energy_data
  • extract_governance_data
  • extract_social_data
  • extract_tables
  • extract_text_chunks
  • extract_waste_data
  • extract_water_data
Show 9 more tools
  • get_cached_query_response
  • get_scraping_status
  • keyword_similarity_search
  • list_documents
  • list_regulations
  • search_esg_reports
  • search_regulation_text
  • similarity_search
  • verify_esg_report

Write 6 · Create, change, send or run things.

  • cancel_scraping_job
  • download_all_regulations
  • download_pdf
  • download_regulation
  • process_pdf_full_pipeline
  • upsert_document_chunks

Not yet classified 4 · We could not tell from the name and description.

  • cache_query_response
  • crawl_company_website
  • generate_embeddings
  • ingest_regulation

Secrets and settings it asks for

Secrets: values you paste in that let it act as you.

  • ANTHROPIC_API_KEY

Other settings (environment variables or headers).

  • EMBEDDING_DIMENSIONS
  • EMBEDDING_MODEL
  • MONGODB_URI
  • POSTGRES_DSN

Tools (31)

Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].

  • answer_esg_query

    Answer a free-text ESG question about a document using Claude + RAG.

  • batch_extract_metrics

    Extract all standard ESG KPIs from a document and persist to esg_metrics.

  • cache_query_response

    Store an LLM response in the query cache.

  • cancel_scraping_job

    Cancel an in-progress scrape job.

  • crawl_company_website

    Deep-crawl a company website to discover all PDF links. Use use_selenium=true for JavaScript-heavy sites.

  • detect_emissions_query_type

    Classify if a query is emissions-specific and extract year/scope.

  • detect_query_domain

    Classify an ESG query into its domain (emissions, energy, water, waste, social, governance, general).

  • download_all_regulations

    Batch download all configured EU ESG regulations and Omnibus documents.

  • download_pdf

    Download a PDF from a URL and store it in MongoDB GridFS.

  • download_regulation

    Download a specific EU ESG regulation PDF from EUR-Lex by CELEX number or short name (e.g. 'CSRD', '32022L2464').

  • extract_emissions_data

    Extract GHG Scope 1, 2, 3 emissions values from a document.

  • extract_energy_data

    Extract energy consumption and renewable energy KPIs (ESRS E2) from a document.

  • extract_governance_data

    Extract board composition and governance KPIs (ESRS G1) from a document.

  • extract_social_data

    Extract workforce, diversity, and health & safety KPIs (ESRS S1) from a document.

  • extract_tables

    Extract ESG tables from a PDF using text patterns and OCR fallback.

Show 16 more tools
  • extract_text_chunks

    Extract text from a PDF and split into overlapping chunks.

  • extract_waste_data

    Extract waste generation, recycling, and landfill KPIs (ESRS E5) from a document.

  • extract_water_data

    Extract water withdrawal, discharge, and consumption KPIs (ESRS E3) from a document.

  • generate_embeddings

    Generate embeddings for text chunks.

  • get_cached_query_response

    Retrieve a cached LLM response for a query.

  • get_scraping_status

    Get the current status of a running scrape job.

  • ingest_regulation

    Process a downloaded regulation: extract text, parse articles, generate embeddings, and store in pgvector.

  • keyword_similarity_search

    Find semantically similar keyword mentions in a document.

  • list_documents

    List all indexed documents, optionally filtered by company.

  • list_regulations

    List all downloaded and ingested regulations with metadata.

  • process_pdf_full_pipeline

    Run the complete pipeline: extract text/tables, embed, store in pgvector. Returns document_id.

  • search_esg_reports

    Search for ESG/sustainability PDF reports for a company using Google, Bing, and DuckDuckGo.

  • search_regulation_text

    Semantic search across regulation articles using pgvector. Optionally filter by regulation short name or requirement type.

  • similarity_search

    Find the top-k most semantically similar chunks to a query embedding.

  • upsert_document_chunks

    Insert or update document text chunks with embeddings into pgvector. Each chunk must have: content (str), embedding (list[float]), chunk_index (int). Optional: page_number (int), content_type ('text'|'table').

  • verify_esg_report

    Use the RandomForest classifier to determine if a PDF is an ESG report.

Signals

Stars
0
Forks
0
Open issues
0
Weekly downloads
30
Last commit
Feb 28, 2026 (8 months ago)
Last release
Feb 28, 2026 (8 months ago)
Last package publish
Feb 28, 2026 (8 months ago)

From GitHub (fetched Oct 24, 2026) and the package registry.

Details

Registry name
io.github.freminder/esg-mcp-servers
Version
0.1.2
Auth
API key
Packages
pypi esg-mcp-servers
License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026
Cite this page

ESG MCP Servers. Agent Mart. https://agentmart.dev/connectors/freminder-esg-mcp-servers (last updated 2026-10-24)