freehire MCP server

An MCP server over the freehire job API. It lets any MCP host — Claude Desktop, Claude Code, or a compatible agent — search, filter, and apply to IT jobs without a browser, authenticating with a personal API key. Postings are crawled straight from company career boards — 3.3M+ open roles across 294K companies, normalized into one schema and tagged with stack, seniority, region and work mode (live figures).

It mirrors the freehire CLI: same API, same credentials, exposed as MCP tools instead of shell commands.

Install

Hosted endpoint (no install, no key)

The read-only job search tools are also served remotely at https://freehire.me/api/v1/mcp (Streamable HTTP). In Claude Code, install it as a plugin:

/plugin install freehire --marketplace strelov1/freehire-mcp

In other hosts, add the URL as a custom remote connector.

Local server (npm)

No global install needed — the host runs it via npx. Add it to your host's MCP configuration (Claude Desktop → Settings → Developer → Edit config, or ~/.claude.json for Claude Code):

{
  "mcpServers": {
    "freehire": {
      "command": "npx",
      "args": ["-y", "freehire-mcp"],
      "env": { "FREEHIRE_TOKEN": "fhk_xxxxxxxx" }
    }
  }
}

Create the fhk_… key in the web app (freehire.me → account menu → API keys). If you already use the freehire CLI (freehire auth login), you can omit env — the server reads the same ~/.freehire/creds.json.

Authentication

The token and API base URL resolve with precedence env → ~/.freehire/creds.json → default https://freehire.me:

| What | Sources | |------|---------| | Token | FREEHIRE_TOKEN → creds file | | API base URL | FREEHIRE_API_URL → creds file → https://freehire.me |

The server only reads the credentials file (it never writes it — logging in stays the CLI's job). If no token is configured, tools return a clear "not authenticated" error rather than the server failing to start.

Tools

| Tool | Purpose | |------|---------| | whoami | Authenticated user (verify the key). | | facets | The filter/skill vocabulary: every facet's live values with counts. Call first. | | search | Keyword + facet job search; returns jobs with their full description as markdown and the total match count. | | market_fit | Score a skill list against live market demand (coverage + gaps). | | job | A single job's full content by slug. | | company | A company and its open jobs by slug. | | apply | Mark a job applied. | | save / unsave | Bookmark / remove a bookmark. | | stage | Set the application stage (server-validated). | | note | Attach a free-text note. | | my | The caller's tracked jobs (all/viewed/saved/applied) with stage + note. | | cv_tailor | Start (or reopen) tailoring for a vacancy; returns the CV id the other cv_* tools take. | | cv_list | The caller's tailored CVs with the vacancy each was written for. | | cv_context | The fit analysis a tailored CV should reframe toward (missing_have vs missing_gap). | | cv_get | A tailored CV's full document. | | cv_edit | Apply a batch of path-addressed edits to a tailored CV, atomically (server-validated; uncited claims are refused). | | cv_render | Render a tailored CV to a PDF, returned as a base64 application/pdf resource. | | experience_list | The candidate's experience bank, with each achievement's provenance. cv_edit's evidence_id comes from here. | | experience_add_employment / experience_add_achievement | Record a place, or one piece of evidence. | | experience_update_employment / experience_update_achievement | Correct one. Field-level: what you do not name is kept. | | experience_remove_employment / experience_remove_achievement | Delete one. No undo; a place must be empty first. | | submit | Submit a vacancy for moderation. | | my_submissions | The caller's submissions with status. | | jobs_add / jobs_edit | Moderator: author / edit a job (403 without the role). | | submissions_pending | Moderator: the review queue. | | submission_approve / submission_reject | Moderator: decide on a submission. |

Filters. search, market_fit, and facets share the same market-filter parameters: remote, region, country, city, company, category, role, seniority, employment_type, english_level, exclude_skill, salary_min, visa, plus a generic facets map ({"source": "greenhouse"}) for any other facet in the vocabulary. Discover valid values with the facets tool — do not invent them. In search, skills is a filter; in market_fit, skills is the measured set.

Geography widens. region, country and city are ONE OR-group: region: ["eu"] with country: ["IT"] means "in Europe or in Italy" and returns everything the region alone would. To search a single country, pass country and omit region. The three name a single concept — where — so picking two places reads as "either", which is what makes region: ["eu"] with country: ["BR"] ("Europe or Brazil") useful. There is no AND to switch on: _mode=and does not apply to geography.

Unread params are ignored, not refused. A filter key the API does not recognize does not fail the request, it widens it. Such keys come back in the result's ignored list, with did_you_mean when only the grammatical number was wrong. search reports it alongside total; facets and market_fit answer a single object, so they wrap it as {data, ignored} — and only then, leaving a clean call's shape untouched. Any number from a result carrying ignored answers a broader question than the one asked — retry with the suggested name before reporting it.

Descriptions. search reads the API's agent endpoint, so every hit already carries the posting's full description rendered as markdown — a host can screen a result set without a job call per hit. Descriptions are long, so keep limit modest.

The evidence rule. Every achievement in the bank records who asserted it. cv_import, stated_in_chat and manual mean the candidate did, and may be cited on a CV; agent_inferred means a model read it into the record, and may not. cv_edit refuses any claim about the candidate without an evidence_id pointing at a citable one, which is why experience_list is the tool that makes cv_edit usable at all.

Correcting an achievement does not move that label: an agent_inferred one stays uncitable however it is reworded. The only way it becomes citable is to ask the candidate, then record what they say with experience_add_achievement.

Removing is final — the bank has no undo. A place must be emptied before it can go, because deleting one would take every achievement under it. Folding two achievements into one, keeping the numbers from both, is on the site.

Each tool returns the raw API data as JSON text; an API error becomes an isError result carrying the HTTP status (a 401 adds an auth hint).

Develop

npm install
npm test        # vitest: config, client (mock server), facets, tool dispatch
npm run build   # tsc → dist/

License

MIT — see LICENSE. The freehire backend and CLI are MIT too.