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X Research MCP

by BK927
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Python
Hybrid

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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

    A3.9/5.0

    Scored across 8 tools

    Disambiguation5/5

    Each tool targets a clearly distinct data surface: search, post, user, collection, trends, saved-result analysis, raw saved-result retrieval, and server status. x_analyze and x_result_get both operate on saved results, but one computes aggregates while the other returns raw stored chunks, so an agent should not confuse them.

    Naming Consistency4/5

    Most tools follow an x_<resource>_get pattern: x_post_get, x_user_get, x_collection_get, x_trends_get, and x_result_get. The exceptions are x_search, x_analyze, and x_status, which break that resource-get convention, but the shared x_ prefix and lowercase snake_case keep the naming mostly predictable.

    Tool Count5/5

    Eight tools is well-scoped for a read-only X research server. Each tool serves a distinct need, and none feel redundant or excessive for the stated purpose.

    Completeness4/5

    The tool surface covers search, post/user/collection/trends reads, saved-result access, and aggregation, which supports the research workflow well. Minor gaps such as no explicit saved-result listing/deletion or batch operations can be worked around by repeated calls or using existing saved-result access.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources