mcp server
AI Dev Jobs
MCP for 8,700+ current AI jobs. 13 tools: search, match, salaries, companies, commerce quotes.
Description as published by the maintainer. Source
- version 1.6.2
- slowing
- retrieval
slowing — Registry entry last updated 2026-05-08. Dashed tags are derived by ZBS Index from the published description, not stated by the maintainer.
What this server can do
20 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.
analyze_application_readiness(job_id, candidate_skills, evidence_bullets)- 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-model instructions. Required: job_id.
apply_to_job(job_id, compiled_artifact_id, principal_authorized, compiled_artifact_hash, compiled_authorization_id)- 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. Required: job_id, principal_authorized, compiled_artifact_id, compiled_artifact_hash, compiled_authorization_id.
approve_compiled_application(artifact_id, artifact_hash, principal_authorized)- 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. Required: artifact_id, artifact_hash, principal_authorized.
compile_job_specific_resume(job_id, candidate_skills, evidence_bullets)- 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 machine-readable candidate_review handoff and requires the agent to pause for explicit human review. Never submits or authorizes an application. Required: job_id, evidence_bullets.
get_company(slug)- 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. Required: slug.
get_job(id)- 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. Required: id.
get_salary_data(tag, level, company, workplace)- 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(id, limit)- 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. Required: id.
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.
get_trending_companies(days, limit)- 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_companies(limit)- Returns top AI/ML companies by active role count, optionally with average salary. Useful for discovering who is hiring in AI.
list_my_interview_outcomes- List employer-reported interview outcomes for applications submitted with the authenticated developer API key. No candidate fee is ever created.
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 application, and independent employer and candidate interview confirmation. It never changes organic ranking.
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.
match_jobs(level, limit, skills, job_type, location, workplace, salary_max, salary_min)- 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 preview without identity; a verified key is required only to save an approval-bound artifact. The employer outcome pilot never affects these matches. Required: skills.
quote_product(product_id)- 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.
record_my_application_outcome(outcome, application_id, principal_authorized)- 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. Required: application_id, outcome, principal_authorized.
respond_to_interview_outcome(outcome_id, principal_authorized, candidate_confirms_interview)- 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. Required: outcome_id, candidate_confirms_interview, principal_authorized.
search_jobs(tags, level, limit, query, company, job_type, location, workplace, salary_min, global_remote, posted_within_days)- 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 without identity; a verified key is required only to save an approval-bound artifact. The employer outcome pilot never affects organic results.
start_checkout(company, product_id, work_email, employer_name, pilot_role_reference, pilot_authority_asserted, pilot_terms_acknowledged)- 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 be submitted.
Last successful function declaration observed on . Source: https://aidevboard.com/mcp. We list what the server declared; we do not call any of these functions.
Endpoint status observed on . Source: https://aidevboard.com/mcp.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| Latest published version | 1.6.2 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-05-08 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| First listed in the MCP Registry | 2026-05-08 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| mcp tools declared | 20 tools | Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. | as of probe | aidevboard.com | |
| mcp endpoint status | ok | The server listed 20 functions when asked. | as of probe | aidevboard.com |
Where to get it
This record as data
Every field on this page, with its source and observation date, is in the catalog JSON. Fetch the whole kind at once instead of parsing this HTML.
GET /api/v1/entries/mcp_server.json