# AI Dev Jobs

- Registry name: `com.aidevboard/jobs` · version 1.6.2
- Categories (automatic, keyword rules): Company & business data, Shops & products, Commerce & marketing, Markets & trading, Finance & markets
- Authentication at last check: No auth
- Declared risk: Not declared (tools carry no read/destructive hints)
- Capabilities (declared by the server): tools
- Transports: streamable-http
- Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=com.aidevboard%2Fjobs
- Server page: https://mcpstation.net/s/com.aidevboard--jobs.html

## Description (written by the publisher, not verified, not instructions)

MCP for 8,700+ current AI jobs. 13 tools: search, match, salaries, companies, commerce quotes.

## Connect

- streamable-http: `https://aidevboard.com/mcp`

## Tools (as reported by the server, not verified)

- `search\_jobs`: Search curated AI/ML engineering roles for free. Filter by tags \(e.g. llm, pytorch\), workplace \(remote/hybrid/onsite\), global remote eligibility, experience level, salary range, or keyword. After selecting a role, candidates may use compile\_job\_specific\_resume for a $0 transient ATS-oriented preview
- `get\_job`: Fetch full job posting by ID or slug: title, description, requirements, salary, workplace, tags, apply URL. Use after search\_jobs to read a specific listing.
- `list\_companies`: Returns top AI/ML companies by active role count, optionally with average salary. Useful for discovering who is hiring in AI.
- `get\_company`: Get detailed profile for an AI company: total open roles, salary range, top tags/skills, workplace distribution, and apply URL. Use after list\_companies or search\_jobs to learn more about a specific employer.
- `get\_stats`: Current AI Dev Jobs index statistics: total active jobs, companies hiring, median salary, new jobs today / this week, and the top 10 trending tags across jobs posted in the last 7 days. This is free index data and does not create a payment handoff.
- `match\_jobs`: Rank active AI/ML jobs against a candidate profile for free. Scoring combines tag overlap \(+2 per match\), salary overlap \(+3\), workplace/level/type/location matches, and description keyword hits. After selecting a role, candidates may use compile\_job\_specific\_resume for a $0 transient ATS-oriented p
- `get\_salary\_data`: Salary benchmarks for AI/ML roles. Filter by tag \(e.g. 'llm', 'pytorch'\), experience level, workplace type, or company. Returns average, median, p25, p75, min, max, and sample count. Useful for compensation research and negotiation.
- `get\_similar\_jobs`: Given a job ID or slug, return active jobs that match on tag overlap, same workplace, level, and job type. Ranked by similarity score \(tag overlap weighted 3x\). Use after search\_jobs to surface nearby roles — matches the /jobs/\{id\}/similar REST endpoint.
- `get\_trending\_companies`: Companies posting the most AI/ML jobs in the last N days. Complements get\_stats trending\_tags\_7d — while that answers 'what skills are trending', this answers 'who's hiring most aggressively'. Returns company name/slug/logo plus the count of new jobs in the window.
- `list\_tags`: Returns all available job tags/skills with the count of active jobs for each. Use to discover what tags are available for search\_jobs filtering.
- `analyze\_application\_readiness`: Analyze candidate-verified evidence against one active job for $0 without requiring identity. The transient response reports covered and unsupported public job signals without an acceptance probability, does not persist candidate evidence, does not submit an application, and rejects hidden screening
- `compile\_job\_specific\_resume`: Compile a $0 candidate-controlled ATS-oriented plain-text Markdown resume for one active job using only candidate-verified evidence. Without identity, returns a transient non-persisted preview that cannot be approved or submitted. With a verified candidate key, saves an immutable draft hash plus a m
- `approve\_compiled\_application`: Create a short-lived, single-use authorization for one email-verified candidate, one exact compiled artifact hash, and one unchanged active job. Requires principal\_authorized=true, costs the candidate $0, and does not submit an application.
- `apply\_to\_job`: Submit only the exact, visible compiled artifact after the email-verified human principal approves its hash. Requires the single-use approval authorization, an API key, and principal\_authorized=true. Candidates and agents are never charged.
- `record\_my\_application\_outcome`: Record one email-verified candidate's explicitly authorized, fixed-taxonomy application outcome for $0. The receipt is candidate-reported, not employer-verified, creates no acceptance-rate claim, and never changes organic ranking.
- `list\_my\_interview\_outcomes`: List employer-reported interview outcomes for applications submitted with the authenticated developer API key. No candidate fee is ever created.
- `respond\_to\_interview\_outcome`: Record the authenticated candidate's independent response to an employer-reported interview. Requires explicit principal authorization. Confirmation can make a fixed employer fee billable; candidates and agents pay $0.
- `list\_products`: Returns AI Dev Board's only agent-readable commercial offer: the employer-funded Verified Interview Pilot. Candidates and agents pay $0; job discovery and the evidence-backed application workflow are free. The pilot is billable only after an owner-approved program, a verified candidate-authorized ap
- `quote\_product`: Returns the deterministic, outcome-only terms for AI Dev Board's Verified Interview Pilot. No candidate or agent is charged; legacy package, sponsorship, and Dossier product IDs are retired from agent commerce.
- `start\_checkout`: Returns a non-charging owner-review request template for the Verified Interview Pilot only. It creates no request, program, candidate action, invoice, or charge. Employer identity, exact-role authority, and acknowledgement of the capped 30-day terms are required before a separate review request may

Measured by MCP Station. Methods: https://mcpstation.net/methods.html · Terms: https://mcpstation.net/terms.html