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    • A
      license
      Not graded
      quality
      F
      maintenance
      Enables orchestrating data quality checks, transformation, and deduplication pipelines via an MCP interface. Offers tools for listing pipeline stages, validating wiring, running the full check-transform-match pipeline, and explaining configurations.
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Exposes RAG and document intelligence pipelines as 8 composable tools for MCP-compatible clients, enabling querying, indexing, classifying, extracting, and assessing documents.
      1
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Exposes standard MCP tools for secure calculation, knowledge-base retrieval, document statistics, and sensitive operations like email, export, and deletion with human-in-the-loop approval.
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables MCP-compatible agents to run the complete document extraction loop as remote tools: upload files, submit extraction jobs with plain-language instructions, answer clarifying questions, inspect review-needed rows and failed pages, and download results as spreadsheets or JSON.
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Exposes 14 tools that let an agent query charter clauses, route and execute an 8-stage collaboration pipeline, arbitrate conflicts with cited clause IDs, enforce safety gates, run receipt self-checks, deposit and recall memory, solve symbolic anchoring constraints, and mine a 330-entry knowledge base plus semantic-field analysis. It also diagnoses image-generation prompts against a formal feature-cluster grammar, all over a zero-dependency stdio JSON-RPC interface.
      1
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      A typed stdio/HTTP MCP server that lets agents drive governed portfolio-company data onboarding: profiling sources, inferring entities and joins, proposing canonical mappings, generating and sandbox-testing dbt artifacts, and publishing only human-certified results. It exposes agent and reviewer-only tools, tenant-scoped run/ontology/evidence resources, and guided prompts, keeping every calculation deterministic and every approval with a human.
      12
      MIT