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resumeai-mcp

resumeai-mcp

by devpatel25
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Python
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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

    A4.4/5.0

    Scored across 6 tools

    Disambiguation5/5

    Each tool maps to a distinct step in the scan lifecycle: auth_status (auth check), list_scans (history), start_scan (create), get_scan_status (poll), get_scan_feedback (results), delete_scan (remove). The boundaries between polling status, retrieving feedback, and starting a scan are clear and non-overlapping.

    Naming Consistency4/5

    Most tools follow a clean verb_noun pattern (list_scans, start_scan, get_scan_status, get_scan_feedback, delete_scan). auth_status deviates slightly by leading with a noun-like token rather than an explicit verb, but it remains readable and consistent with the scan-status naming family.

    Tool Count5/5

    Six tools is well-scoped for a scan-and-feedback workflow, with each tool earning its place across auth, listing, creation, polling, results, and deletion. Nothing feels padded or redundant.

    Completeness4/5

    The surface covers the full lifecycle: authentication, listing, starting, polling, fetching feedback, and deletion. Minor gaps exist (no explicit cancel/abort for an in-flight scan or resume-management operation), but these are workable given the one-scan-in-flight constraint and idempotent start.

    Maintenance

    ActivitySlowing
    ResponsivenessOutdated data

    Resources