job-search-mcp
Enables searching and evaluating job postings from LinkedIn and freehire.me directly through Claude Desktop. Provides tools to search jobs, fetch full posting details, and assess candidate fit using eligibility scans and a scoring rubric.
README
job-search-mcp
A local Model Context Protocol server that turns Claude Desktop into a job-search connector.
Credit
The search logic and fit-scoring rubric are ported from MadsLorentzen/ai-job-search — specifically its linkedin-search / freehire-search portal CLIs and its job-application-assistant job-evaluation skill. All credit for the original design goes to Mads Lorentzen. This repo reimplements that logic as a single self-contained Python MCP server (no bun/Node dependency) instead of the original bun/TypeScript CLIs, following the same connector pattern as the sibling resume-ats-mcp.
What it does
Three tools, exposed over MCP:
| Tool | Input | Output |
|---|---|---|
search_jobs |
keywords, location, remote/hybrid/onsite, max age, source | matching postings from LinkedIn and/or freehire.me |
get_job_detail |
a result's source + id/URL |
full posting text, seniority, employment type, salary (if known) |
evaluate_posting |
a job description + candidate profile (text or resume file) | an eligibility-keyword scan plus the five-dimension fit-scoring worksheet, for Claude to fill in |
search_jobs — queries LinkedIn's public jobs-guest API (HTML, no auth) and the freehire.me aggregator's public REST API (JSON, no auth; ~50 ATS platforms, global/remote coverage).
get_job_detail — fetches one posting's full text, for either source.
evaluate_posting — like resume-ats's evaluate_resume, this tool does not compute a fit score itself. It regex-scans the posting for citizenship/PR/security-clearance/sponsorship language (quoting matched sentences) and assembles the ai-job-search framework's eligibility gate, scoring rubric, weighting, and thresholds — structured, deterministic material for Claude to reason over in the conversation, not a replacement for that reasoning.
How the connector is registered
{
"mcpServers": {
"job-search": {
"command": "/absolute/path/to/mcp-server-jobsearch/.venv/bin/python",
"args": ["/absolute/path/to/mcp-server-jobsearch/server.py"]
}
}
}
No env block is required — unlike resume-ats, this connector has no filesystem default to configure. Optionally set FREEHIRE_API_URL if self-hosting a freehire instance.
After editing claude_desktop_config.json, fully quit (Cmd+Q) and reopen Claude Desktop — it only reads the file at launch.
Setup
cd mcp-server-jobsearch
python3 -m venv .venv
./.venv/bin/pip install -r requirements.txt
Limitations
- LinkedIn's guest search endpoint is unauthenticated and undocumented; markup changes on LinkedIn's side can break parsing without notice.
search_jobs'slocationfilter only applies to the LinkedIn source — freehire's location facets use a region/country taxonomy this client doesn't expose.- The eligibility scan is keyword-based, not semantic: it flags sentences containing known phrases, it doesn't understand intent. Always verify before treating a match (or its absence) as final.
- Single-machine, single-user: this is a local stdio connector, not a hosted service.
License
MIT
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