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ESG MCP Servers

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

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

C58/100grade C
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ESG MCP Servers tools (31, 3 write)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • 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_jobwrite action

    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.

  • 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_pipelinewrite action

    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_chunkswrite action

    Insert or update document text chunks with embeddings into pgvector.

  • verify_esg_report

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

Public scan report

scanner v0.1.10 · 2026-09-28 · same rubric, same numbers if you re-run it

1 medium
  • Code scan44 source files scanned20/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitystatic API keys via environment variables6/15
  • Maintenancelast push 212 days ago4/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10

Findings (1)

  • mediumeval / new Function usedexec.eval
    esg_mcp_servers-0.1.2/src/esg_mcp_servers/services/metrics/similarity.py: …im=embedding_dim) _siamese_net.eval() return _siamese_net # ── Tex…
Overall 58/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

Install ESG MCP Servers in Claude Code, Cursor or VS Code

claude mcp add esg-mcp-servers -- uvx esg-mcp-servers
Add to Cursor

ESG MCP Servers: common questions

Is ESG MCP Servers safe?
With care: it is graded C, so read the findings first (58/100). Read the ESG MCP Servers safety report
How do I install ESG MCP Servers?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does ESG MCP Servers need an API key?
Yes. The registry entry asks for ANTHROPIC_API_KEY.
Is ESG MCP Servers maintained?
The last commit was 227 days ago (2026-02-28). The latest release is v0.1.2.
What can I use instead of ESG MCP Servers?
Servers from other publishers that do the same job: MCP Server for WinDbg Crash Analysis, Stata MCP server and PDF MCP server. Compare all ESG MCP Servers alternatives.

Alternatives to ESG MCP Servers

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