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aik-mcp

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    • knowledge-rag-mcp

      TTANF1
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      C
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      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.
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    • mcp-wiki-server

      AustinAbhari
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    • synapse

      anshulyadav1976
      A
      license
      A
      quality
      A
      maintenance
      Provides AI agents with a local, private Markdown-based memory vault and SQLite search. Enables agents to search, read, list, and traverse linked knowledge pages via MCP with zero external runtime dependencies.
      7
      98 PyPI
      7
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    Deploy Server
    Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

    TDQS

    A3.5/5.0

    Scored across 13 tools

    Disambiguation3/5

    Most tools are distinct, but install, reinstall, and update heavily overlap: update 'updates a previously installed item if a newer version is available' while reinstall 'uninstalls the old entry and installs the latest version,' making the boundary confusing. delete (KB item) vs uninstall (project) is clearer, but the install lifecycle verbs remain ambiguous.

    Naming Consistency5/5

    All names are lowercase snake_case with predictable verb or verb_noun structure (search, get, get_asset, list_installed, check_updates, uninstall_all). No mixed conventions or vague verbs.

    Tool Count5/5

    13 tools is well within the ideal range and each maps to a reasonable operation in a content-knowledge-base plus install-management domain.

    Completeness4/5

    The surface covers search, read, write, delete, list, asset retrieval, and the full install/uninstall/update lifecycle, which is strong. The only weakness is redundancy among reinstall/update rather than a missing operation.

    Maintenance

    ActivityActive
    ResponsivenessNo issues

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