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Alternatives to openkore-mcp

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    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents and MCP hosts to query a locally built hybrid (vector + BM25) index of scattered notes, docs, and chat logs, retrieving answers with section-level citations. It exposes 8 tools plus resources and prompts so hosts like Claude Desktop, Cursor, and Cline can search, ask, and browse the user's personal knowledge base directly.
      -
    • F
      license
      Not graded
      quality
      A
      maintenance
      Exposes a local hybrid (vector + BM25) index of scattered notes, docs, PDFs, and chat logs to AI hosts like Claude Desktop, Cursor, and Cline, letting agents search and get cited answers. It publishes a set of tools, resources, and prompts so any MCP-compatible client can query that knowledge base with section-level citations.
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    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to perform hybrid code search, get explanations, analyze relations and impacts, retrieve context packs, and generate documentation across ~45 languages via 17 MCP tools, all powered by a local vector database and LLM.
      2
      Apache 2.0
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI coding agents to search and access open-source code, documentation, and package information via a local MCP server.
      2,612 npm
      115
      Apache 2.0
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables coding agents to search local repositories through hybrid keyword and embedding retrieval, read matched chunks, and list indexed repos via MCP, without API keys or cloud services.
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to retrieve hyper-targeted, token-efficient context from a codebase by querying a locally built AST knowledge graph, and to persist cross-session agent memory through 17 MCP tools. All indexing and retrieval run entirely offline, so proprietary code never leaves the machine.
      146 PyPI
      1
      MIT