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job-mcp

by zvieli
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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

    B3.2/5.0

    Scored across 20 tools

    Disambiguation3/5

    Several tools overlap in the job-discovery space: job_search, get_job_matches, filter_jobs_by_preferences, and run_job_scout all retrieve/aggregate jobs, while list_configured_sources vs list_job_sources and notify_new_jobs vs run_job_scout blur boundaries. Descriptions do help differentiate them (config vs health, one-shot search vs full pipeline), but an agent can still misselect among the search/aggregation tools.

    Naming Consistency4/5

    Nearly all tools use snake_case verb_noun phrasing (list_job_sources, mark_job_as_applied, get_application_history), which is predictable and readable. The only deviations are job_search and job_fetch, which lead with the noun instead of the verb, but this is minor.

    Tool Count3/5

    At 20 tools the surface is on the heavy side for a job-scouting server, and a few tools (job_search/job_fetch vs get_job_matches, notify_new_jobs vs run_job_scout) feel redundant. Each maps to some functionality, but the count is borderline rather than tight.

    Completeness4/5

    Coverage is strong: search, fetch, filter, bookmark, dismiss, two-step apply with audit history, notifications, full scout pipeline, source listing, and ATS discovery are all present. Minor gaps like no explicit preference/config update or source-management CRUD remain, but core lifecycles are covered.

    Maintenance

    ActivityActive
    ResponsivenessNo issues

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