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ESG MCP Servers

io.github.freminder/esg-mcp-servers·v0.1.2·Documents & Spreadsheets

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

Trust verdict · v1 advisory · method
NOT YET SCREENEDno verdict on file

Verdict not yet evaluated for this tool. The semantic screen takes adversarial cases first; coverage rolls out as the corpus expands (15/150 labels to graduation). The deterministic conformance probe is built but has not yet run on the public corpus, so a recorded verdict here is REVIEW or UNVERIFIED, never a clearing ALLOW. Until a verdict is recorded, an agent should treat this tool as not-yet-cleared and fall back to its own checks. Method: the eval, four-state verdict, honest limits.

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Environment variables
ANTHROPIC_API_KEY
requiredsecret

Anthropic API key — required for RAG queries and LLM-based metric extraction

POSTGRES_DSN
required

PostgreSQL connection string with pgvector extension (e.g. postgresql://esg:esg@localhost/esg_platform)

MONGODB_URI
required

MongoDB connection string for PDF binary storage via GridFS (e.g. mongodb://localhost:27017)

EMBEDDING_MODEL

Sentence-transformer model name for embedding generation (default: Snowflake/snowflake-arctic-embed-l-v2.0)

EMBEDDING_DIMENSIONS

Embedding vector dimension size (default: 1024)

MCP quality score · maturity, not trust · methodology
freshness
19
completeness
15
installability
25
documentation
15
stability
5
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