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dryad-rag-mcp

Official
by DryadAI

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    • F
      license
      Not graded
      quality
      C
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      Exposes an existing RAG API as MCP tools, enabling health checks and document-based question answering with source evidence.
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    • A
      license
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      quality
      D
      maintenance
      Exposes document retrieval as an MCP tool, enabling LLMs to search a local vector store of markdown documents. Includes a retrieval evaluation harness to measure hit rate and MRR.
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    • A
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      Local RAG MCP server for documentation that indexes markdown repos (local paths or git URLs) and provides retrieval-only tools (ask_docs, list_docs, reindex) returning grounded passages and citations for the MCP host to synthesize answers.
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    • A
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      quality
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      Enables retrieval-augmented generation over a local markdown corpus, allowing grounded, cited answers via an MCP tool or CLI.
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    TDQS

    A4.2/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: health check, ingest/re-index, and query. There is no overlap or ambiguity between them.

    Naming Consistency5/5

    All tools follow a consistent 'rag_' prefix with a verb (health, ingest, query), forming a uniform and predictable naming pattern.

    Tool Count5/5

    Three tools is well-scoped for a focused RAG service, covering the core operations of health checking, indexing, and querying without excess.

    Completeness4/5

    The set covers the essential lifecycle for a RAG service: health, ingest, and query. A minor gap is lack of explicit index management (e.g., clear or list documents), but the configured document set makes ingest sufficient for updates.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues