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linkedin-job-mcp

linkedin-job-mcp

by GhoshSrinjoy
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

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    Deploy Server
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    TDQS

    A4/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool maps to a distinct step in a job-hunting workflow: search a list, fetch one posting's full details, and grade a posting for ghost-job likelihood. The descriptions explicitly cross-reference each other (use get_linkedin_job_details on a jobUrl, check_ghost_job for openness), leaving no realistic path for misselection.

    Naming Consistency5/5

    All three names use the same snake_case verb_noun pattern: search_linkedin_jobs, get_linkedin_job_details, check_ghost_job. Object naming is consistent (linkedin_job / job) and the verbs accurately signal the action.

    Tool Count4/5

    Three tools cover the entire stated scope with no redundancy, which is defensible for a narrow, single-domain server. It sits at the lean edge of the scale, so users needing richer filtering must rely on the search tool's parameters alone.

    Completeness4/5

    The search → inspect → validate loop is fully closed, with salary, applicant count, and ghost-job grading all reachable. Minor gaps remain: no company-based lookup, no way to enumerate more than what a keyword search returns, and check_ghost_job hard-depends on a separately running local radar process.

    Maintenance

    ActivityMaintained
    ResponsivenessNo recent community issues

    Resources