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AI Social Data MCP

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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

    A4.1/5.0

    Scored across 6 tools

    Disambiguation5/5

    Each tool targets a distinct resource and action—hot lists, keyword search, content details, user profiles, user posts, and comments—with no conceptual overlap. Even social_search and get_user_posts differ by keyword-based discovery vs. user-specific listing.

    Naming Consistency4/5

    Five of six tools follow the get_<object> pattern, creating a predictable structure. The single exception, social_search, breaks the pattern but remains clear and readable, so a mild deviation.

    Tool Count5/5

    With 6 tools, the server is well-scoped for social media data retrieval, covering discovery, detail, and user-centric queries without excess or deficiency.

    Completeness5/5

    The toolset forms a complete read-only workflow for social media data: hot list for trends, search for discovery, content detail for specific items, user profile and posts for user-centric exploration, and comments for engagement context. No obvious missing operation within this domain.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources