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jobinja-mcp

jobinja-mcp

by sepehr071
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

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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

    A4.2/5.0

    Scored across 10 tools

    Disambiguation4/5

    Each tool maps to a distinct resource or analysis type: keyword search, single-ad read, company profile, company ads, company search, rankings, market counts, skill lookup, and salary sampling. The only mild overlaps are jj_market's 'top skill' counts versus jj_skills, and jj_search_companies versus jj_top_companies, but the descriptions explicitly disambiguate (live openings vs all-time counts, keyword browse vs yearly ranking). No tool appears duplicative.

    Naming Consistency4/5

    All ten tools share a consistent jj_ prefix and snake_case, with a predictable verb_noun convention for searches (jj_search_jobs, jj_search_companies) and resource nouns elsewhere (jj_job, jj_company, jj_market). The mix of bare nouns (jj_filters, jj_skills) and verb-led names is a minor deviation but still highly readable.

    Tool Count5/5

    Ten tools is a well-scoped surface for a job-board server, with each tool earning a distinct role across search, detail, company, and analytics. Nothing feels padded or redundant, and the split of search/detail/stats is appropriately granular.

    Completeness4/5

    The read-only job-market lifecycle is well covered: discovery (jobs, companies, filters), drill-down (job, company, company jobs), and analysis (market counts, skill demand, salary sampling). Minor gaps exist around pagination control for expired ads beyond the described pages and no related/similar-jobs tool, but agents can work around these via search filters.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources