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SkillMapper MCP Server

SkillMapper MCP Server

by VishweshMurali
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Python
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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 5 tools

    Disambiguation4/5

    search_documents and retrieve_evidence both retrieve content, which could cause confusion, but the descriptions differentiate them (broad hybrid search vs. targeted evidence for a specific requirement). The other three tools (compare, capture_feedback, lookup) are clearly distinct.

    Naming Consistency5/5

    All five tools follow a consistent verb_noun snake_case pattern: search_documents, retrieve_evidence, compare_resume_to_job, capture_reviewer_feedback, lookup_evaluation_result. Verbs are varied but appropriate and readable.

    Tool Count4/5

    Five tools is reasonably scoped for a resume-vs-job evaluation domain, covering search, targeted retrieval, the full comparison agent, feedback, and result lookup. It is slightly lean but each tool earns its place.

    Completeness3/5

    The lifecycle is mostly covered (search, retrieve, compare, capture feedback, lookup results), but there is no ingestion tool despite descriptions referencing 'ingested' chunks, and no update/delete or reviewer-triage operations. These gaps may force agents to look outside the server.

    Maintenance

    ActivityMaintained
    ResponsivenessNo recent community issues

    Resources