job-hunting-mcp
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Alternatives to job-hunting-mcp
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- AlicenseNot gradedqualityBmaintenanceLets AI agents search ranked job listings from company career pages, job boards and the web using plain-language requirements or CV text, with optional location and result limits. It also exposes the available job sources so agents can see where matches come from.2MIT

LAYIQ Jobsofficial
AlicenseNot gradedqualityCmaintenanceEnables 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.MIT- AlicenseNot gradedqualityCmaintenanceEnables 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.MIT
- AlicenseAqualityBmaintenanceEnables 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.4MIT
- AlicenseNot gradedqualityAmaintenanceEnables 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.66 npm24MIT
- AlicenseNot gradedqualityCmaintenanceEnables 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.MIT
TDQS
Scored across 2 tools
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.
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.
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.
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.