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Alicanefee

Expertise MCP Server

by Alicanefee
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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

    A3.8/5.0

    Scored across 6 tools

    Disambiguation3/5

    query_expertise, get_active_research, and ask_cv all overlap—each can answer 'what does Ali know about topic X'—creating genuine selection ambiguity. get_projects/get_project_details are clearly paired, but the three knowledge-retrieval tools blur together despite somewhat different framings (search vs. list vs. NL Q&A).

    Naming Consistency4/5

    All six names follow a verb_noun pattern (query_expertise, get_projects, get_project_details, ask_cv, get_active_research, get_target_queries) using snake_case consistently. The mix of verbs (query/get/ask) is minor and still readable, but not as uniform as a pure get_/list_ scheme.

    Tool Count5/5

    Six tools is well-scoped for a single-person expertise/profile server, with each tool targeting a distinct facet (search, projects, project detail, CV, research, discoverability queries). No padding or obvious redundancy in count.

    Completeness4/5

    The surface covers expertise discovery, projects with detail lookup, CV Q&A, research, and target queries—a solid lifecycle for an expertise profile. Minor gaps like a dedicated employment/speaking-engagement detail tool or contact info are workable around via ask_cv.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources