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fps-cv-mcp

by francisco-perez-sorrosal
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Python
Hybrid

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    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

    A3.6/5.0

    Scored across 16 tools

    Disambiguation3/5

    Most tools are distinct (list vs. query vs. get vs. summarize), but several overlap: query_by_topic and query_work both search by topic, and get_cv_pdf_link/get_google_scholar_link are convenience wrappers around get_link while get_cv can also return PDF. Descriptions help clarify the boundaries, but an agent could still misselect between related retrieval and link tools.

    Naming Consistency5/5

    All tool names use a consistent snake_case verb_noun or verb_object pattern: list_*, get_*, query_*, summarize_cv. The naming is highly predictable and makes it easy to guess the general purpose of a tool before reading the description.

    Tool Count3/5

    At 16 tools is just past the typical 3-15 well-scoped range, and the set includes redundant link/query variants such as get_cv_pdf_link, get_google_scholar_link, get_link, query_by_topic, and query_work. It is not extreme, but the surface feels slightly heavy for a read-only CV/resume server.

    Completeness4/5

    For a read-only CV retrieval and tailoring domain, the coverage is strong: raw CV formats, sections, individual entries, semantic context, skill profiles, relationships, links, and tailored CV rendering are all available. Minor gaps exist only in trimming redundancy rather than missing core functionality.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

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