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job-hunting-mcp

job-hunting-mcp

by YutangShi

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      Enables users to search public job listings and retrieve details for individual postings from inside AI assistants, including ranked results, filters, and pagination. It is read-only and requires no account, authentication, or API key.
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    • A
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      Enables MCP hosts and agents to search public job listings and retrieve job details via standardized search_jobs and get_job tools, supporting keyword, location, remote, date, and limit filters. It is read-only and rate-limited, returning normalized results with apply and source URLs.
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    • A
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      Enables AI agents to search applicant-tracking systems, LinkedIn public job search, and Hacker News hiring threads, then merge duplicate roles across sources into a single canonical jobs feed. It returns a clean deduplicated list with source links, salary, description, and posting-date details without requiring an API key or account.
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      Enables AI agents to search remote job listings, read full descriptions and structured metadata, compare roles, and retrieve original application links when the account's subscription and scopes allow.
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      Enables users to search live public job listings, compare roles side by side, retrieve full job details, and render interactive job cards with application links from AI chat clients.
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    TDQS

    A4.1/5.0

    Scored across 2 tools

    Disambiguation5/5

    The two tools are cleanly separated: search_jobs performs discovery across sources, while get_job_details retrieves full content for a specific job_ref produced by search. There is no plausible scenario where an agent would confuse one for the other, and the dependency between them is stated explicitly.

    Naming Consistency5/5

    Both names follow the same snake_case verb_noun convention (search_jobs, get_job_details) with a shared '_jobs'/'job' noun stem. The pattern is entirely predictable and would extend naturally to future tools.

    Tool Count3/5

    Two tools is on the thin side even for a narrowly scoped server; a search-plus-detail pair is the minimum useful surface rather than a well-rounded one. It is defensible for a focused job-search use case but leaves little room for anything beyond the single browse workflow.

    Completeness3/5

    Search plus full-detail retrieval covers the core discovery workflow, but get_job_details only supports 104, so Cake results returned by search_jobs are a dead end for detail retrieval. There is also no filtering, sorting, pagination beyond 20 results, or any save/apply/track operation that a 'job hunting' domain would normally imply.

    Maintenance

    ActivityMaintained
    ResponsivenessSyncing