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DocAgent-MCP
by wuliuke

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    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables local knowledge base management with retrieval-augmented generation (RAG), providing semantic search, document reading, listing, and Q&A via MCP tools and REST endpoints, all running locally without cloud dependencies.
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    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables users to index and retrieve local documents through semantic, BM25, or hybrid search, with tools for chunk reads and page images accessible from MCP clients such as Codex and ChatGPT web.
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    • F
      license
      Not graded
      quality
      B
      maintenance
      Enables any MCP-compatible AI assistant to search, filter, and retrieve information from a local document collection using a hybrid search pipeline with vector, BM25, reranking, and LLM enrichment.
      4
      -
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables agents to retrieve relevant context from local documents via MCP tools, supporting ingestion, semantic search, metadata filtering, and evidence inspection entirely on-device.
      MIT