<!-- mcp-name: io.github.gzchenhao/openhire -->

openhire-mcp

Jobs come to you. Your résumé never passes through OpenHire's servers, and we never store it. 岗位来找你，简历不经过我们的服务器，也不被我们存储。

<p align="center"><img src="docs/quickstart.svg" alt="30-second quickstart: pipx install openhire, ohp bootstrap, ohp search" width="880"></p> <p align="center">_{Real terminal output — install from PyPI, download the public index, search. No account, no signup.}</p>

An MCP server that turns your AI assistant (Claude, Cursor, Windsurf) into a private radar for AI / Infra, autonomous-driving and embodied-AI roles — sourced directly from ~120 company career sites and their public ATS APIs (Greenhouse / Lever / Ashby / 北森 Beisen), in the US, Europe and China. No account. No signup. No résumé upload. Ever.

Matching runs on your machine; only an anonymous fingerprint and hard filters ever reach the server. This is the 「哨兵 / Sentinel」 reference implementation — see design_handoff_openhire_v01/README.md for the full protocol spec.

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Quickstart — under a minute

# 1. Install (pipx keeps it isolated and puts `ohp` on your PATH)
pipx install openhire

# 2. Get a job index. Default: download the public snapshot, then refresh it live.
ohp bootstrap
#   --fresh      crawl the public ATS from scratch (heuristic, free, no snapshot)
#   --deepseek   higher-quality extraction using YOUR OWN DEEPSEEK_API_KEY

# 3. Use it directly…
ohp search --required-skills rust,k8s --remote --role-family engineering

# …or connect it to an MCP client:
ohp serve

Then point your MCP client at it — see Works with below.

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Works with

All clients use the same MCP entry. If you ran pipx install openhire, use ohp; otherwise uvx openhire serve fetches and runs it with no prior install (needs uv).

Claude Desktop — %APPDATA%\Claude\claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/); quit & reopen after editing:

{ "mcpServers": { "openhire": { "command": "ohp", "args": ["serve"] } } }

Cursor — ~/.cursor/mcp.json (or a project .cursor/mcp.json):

{ "mcpServers": { "openhire": { "command": "uvx", "args": ["openhire", "serve"] } } }

Windsurf — ~/.codeium/windsurf/mcp_config.json:

{ "mcpServers": { "openhire": { "command": "uvx", "args": ["openhire", "serve"] } } }

Run ohp bootstrap once first so the index has data. On Windows Claude Desktop from the Microsoft Store, the config is under …\Packages\<Claude package>\LocalCache\Roaming\Claude\.

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What it does

Tool	What it gives you
search_jobs	Hard-filter the live index; every result carries verified_at, datePosted, days_open, ghost_score, remote_scope, eligible_regions, apply_channel. Filter by required_skills (AND), role_family, remote_scope, min_salary + currency.
watch_intent	Register a standing intent once — new matching jobs are waiting next time you check, even after you close the terminal. Accepts required_skills / role_family so sales / solutions roles stay out.
check_watches	Pull the matches that are new since your last check (client-pull; stdio has no push).
authorize_application	One explicit confirmation per job. It records your authorization and returns the employer's own application URL — you apply as yourself. It cannot accept a résumé.
get_company_info	Aggregate, anonymous trust signals for one employer (ghost_score_avg, active_jobs, index_built_at). Never any candidate data.

Optional, entirely local: ohp init --scan <dir> derives a skill fingerprint from your own repos. You never write a résumé; the code never leaves your machine — only an anonymous vector does.

The five protocol fields

Every listing is valid schema.org/JobPosting, plus:

• verified_at — last moment confirmed live on the employer's own site
• source — employer_site | ats_public_api (never a job board)
• ghost_score — 0–1 likelihood the listing is not a real, active hire (ages off the real posting date; lower is better)
• response_sla_days — employer's committed response window (v0.1: always null)
• apply_channel — always the employer's own application URL, deep-linked to the specific job

Privacy model

Résumé / PII upload	never — matching runs locally; a résumé never transits the server, and we never store one
What the server sees	one anonymous, client-generated fingerprint + hard filters
Repo scan	local-only · personal projects · explicit consent · opt-out anytime
Job sources	first-party only: employer career pages + public ATS APIs (Greenhouse / Lever / Ashby)

First-run data — the snapshot vs. fresh

ohp bootstrap (default) downloads a small public index snapshot (a GitHub Release asset — companies + jobs only, zero user data) and then runs one incremental crawl to refresh verified_at / delisting. --fresh skips the snapshot and crawls the public ATS from scratch with the free offline heuristic extractor. Either way: no account, no PII.

Three rules this project will never break

1. Your résumé stays on your machine — it never transits the server, and we never store it.
2. Ranking is not for sale — it is only f(match_quality, freshness), a locked pure function.
3. Employers pay only for authorized, delivered outcomes — never for exposure. (v0.1 has no billing at all.)

These are enforced by CI (tests/test_privacy.py, tests/test_ranking.py, tests/test_snapshot.py).

Development

python -m venv .venv && . .venv/Scripts/activate   # Windows
pip install -e ".[dev]"
pytest        # privacy red lines + ranking + snapshot must be green

Set OPENHIRE_DATABASE_URL=postgresql+psycopg://… to run against Postgres instead of the default local SQLite file (~/.openhire/openhire.db).

Roadmap

• v0.2 — CN ATS adapters (Beisen / Moka) · ghost_score public beta
• v0.3 — Employer claim + verified badges · response-SLA enforcement (7-day auto-delist)
• v1.0 — Open, vendor-neutral schema extension for AI-readable job postings

FAQ

Where does the job data come from? Directly from ~120 employers' own public ATS APIs (Greenhouse, Lever, Ashby, 北森 Beisen) — the same endpoints that power their careers pages. No scraping, no third-party job boards. source is always ats_public_api, and verified_at records the last time we confirmed each posting live.

Why should I trust ghost_score? It's a pure, open, unpurchasable function — min(1, 0.15·relist_count + staleness) aged off the real ATS posting date, not our crawl date. The formula lives in pipeline/ghost_score.py, is unit-tested, and takes no money as input (red line #2). Long-open, repeatedly-relisted postings score higher (worse); you can always re-rank client-side.

Does my résumé actually go through the server — really? No. There is no résumé anywhere in the protocol. authorize_application has no résumé/file parameter (it structurally cannot accept one), matching runs on your machine, and the only thing that ever transits the server is a short anonymous fingerprint like #a3f9. This is enforced by tests/test_privacy.py, and the published snapshot carries zero user data (tests/test_snapshot.py).

Does it support China (中国区)? Yes, since v0.2: employers on 北森 Beisen (<tenant>.zhiye.com) are indexed — currently 11 robotics / embodied-AI companies (宇树 Unitree, 优必选 UBTECH, 星海图 Galaxea, 越疆 Dobot, 梅卡曼德 Mech-Mind, 普渡 Pudu, 海柔创新, 新松 SIASUN …). Pay published as 月薪 keeps its real period (salary_period), so a salary floor no longer silently drops Chinese roles.

飞书招聘 (Feishu Hire) is not supported and won't be: it signs its job-list requests with a ByteDance _signature and gates them behind a captcha SDK, so its listings are not publicly readable. We don't break anti-bot measures. Moka is on the roadmap.

How do I get a company added? Open a Company inclusion request issue (title it with the company + its ATS URL) — this is the best way to contribute. If you code, add it to src/openhire/seed/candidates.py (company slug + ATS vendor/tenant) and open a PR; the seeder validates tenants against the live API.

License

MIT © OpenHire Protocol · PRs welcome.

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Built by a non-coder PM-ing Claude Code — full acceptance reports in reports/.