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grounded-rag-mcp

by chetan1521
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    • grounded-rag-mcp

      chetan1521
      A
      license
      A
      quality
      B
      maintenance
      Enables any MCP host to search and answer over your own documents with hybrid BM25+dense retrieval, cross-encoder reranking, and grounded, cited responses that refuse when no evidence is found.
      5
      MIT

    • RAG MCP Server

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      quality
      C
      maintenance
      Enables document indexing and question answering with Retrieval-Augmented Generation, providing cited answers from user-supplied documents.
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    • hybrid-rag-mcp

      brenol404
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      maintenance
      Enables question answering over technical documents (Markdown, TXT, PDF) using hybrid retrieval (vector + lexical) with cited sources and audit logging, fully locally with optional cloud fallback.
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    • PDF MCP Server

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      quality
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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A4/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool has a clearly distinct role: ingest_documents adds content, search retrieves chunks, list_collections inspects collections, answer produces grounded responses with citations, and evaluate_retrieval measures quality. There is no meaningful overlap that would cause an agent to select the wrong tool.

    Naming Consistency4/5

    Most tool names follow a clear verb_noun pattern like ingest_documents, list_collections, and evaluate_retrieval. search and answer are single verbs but are still intuitive and consistent in style, creating only minor deviation.

    Tool Count5/5

    Five tools is well-scoped for a grounded RAG server: ingestion, listing, retrieval, grounded answering, and evaluation. Each tool earns its place without redundancy or bloat.

    Completeness4/5

    The core RAG workflow is covered end-to-end, including ingestion, retrieval, grounded answering, and retrieval evaluation. The main gap is the lack of deletion or update operations for documents and collections, which agents would need for full lifecycle management.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources