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    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables privacy-preserving document retrieval by exposing read-only search tools over MCP, allowing agents to query local vector and structured indexes without sending data to the cloud.
      2
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI tools to securely search and retrieve relevant, source-attributed chunks from private local documents via MCP, without sending document content to third-party services.
      2
      MIT
    • A
      license
      A
      quality
      C
      maintenance
      Enables AI agents to connect local knowledge bases, preview and index selected directories, search for traceable snippets with source metadata, and read indexed document versions through MCP tools.
      6
      MIT
    • F
      license
      A
      quality
      D
      maintenance
      A local-first document retrieval engine that mounts as an MCP tool for agents to index files, search for relevant passages, and let the agent's own LLM answer.
      4
      -
    • A
      license
      A
      quality
      B
      maintenance
      Enables any MCP client to index files, directories, and arbitrary text into a local SQLite-backed vector database and perform semantic search with language-aware chunking, filters, and context expansion, all offline without network calls.
      10
      MIT