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Alpha-W0lf

AI Knowledge Base MCP Server

by Alpha-W0lf
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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    B3.2/5.0

    Scored across 4 tools

    Disambiguation3/5

    get_context, search, and discover all relate to retrieving information, which creates some overlap; however, search is query-based, discover is browse-based, and get_context aims for comprehensive retrieval, so descriptions mostly disambiguate. get_status is clearly separate. The boundary between get_context and search remains slightly fuzzy.

    Naming Consistency3/5

    Two tools use the get_ prefix while two use bare verbs, creating a mixed convention. The names are still readable and each clearly indicates its action, but the inconsistent style is noticeable.

    Tool Count4/5

    Four tools is a reasonable size for a focused knowledge-base retrieval server, though it feels on the lean side. Each tool has a distinct role and the count is appropriate for the apparent scope.

    Completeness2/5

    The server only provides retrieval and status operations; there are no tools for adding, updating, or deleting knowledge-base content. For a server named 'AI Knowledge Base', this is a significant gap that limits agents to read-only workflows.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources