MCP server that wraps the Dagster GraphQL API — manage runs, assets, schedules, sensors, and backfills from any MCP client
AI Dev Jobs is installed from its publisher's own source and answers where it runs, so this marketplace is not in the path of a single call. There is no address here to send one to, and a panel that pretended otherwise would be showing you an answer we made up. Install it and call it from your own client — the Installation tab has the entry for each one.
What it does
MCP for 8,700+ current AI jobs. 13 tools: search, match, salaries, companies, commerce quotes.
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user --transport http ai-dev-jobs-mcp https://aidevboard.com/mcp
# 2 — ask your agent for something these tools do
# search_jobs, get_job, list_companies and 17 more
AI Dev Jobs costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
Where are you running it?
Every route below installs the same thing and ends at the same approval screen. Nothing here runs on your machine and nothing runs on ours: this server answers at its publisher’s own address, and what you install is the connection straight to it.
This is a public server: it answers at its publisher’s own address and this marketplace is not in the path. Claude Code registers it in one command; --scope user makes it available in every project. The transport below is http, as the publisher's own manifest declares it.
claude mcp add --scope user --transport http ai-dev-jobs-mcp https://aidevboard.com/mcpReconnect, or start a new session, and the tools appear in the model’s tool list.
One config entry pointing straight at the publisher’s own address — this marketplace is not in the path, and nothing from this listing executes on your machine.
20 tools, with what each one reads, writes and reaches shown before you agree — the same list on every route above. Read the tool surface.
Tool surface
What the model actually sees. Descriptions are diffed on every release — see version history.
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
| Parameter | Type | Required | Notes |
|---|---|---|---|
| company | string | no | Company slug (e.g. 'openai', 'anthropic') — returns only that company's jobs |
| global_remote | boolean | no | Only roles explicitly open to candidates worldwide. Ambiguous or region-restricted remote jobs are excluded. |
| job_type | string | no | Employment type |
| level | string | no | Experience level |
| limit | integer | no | Max results (default 10, max 25) |
| location | string | no | Location substring (e.g. 'San Francisco') |
| posted_within_days | integer | no | Only return jobs posted within the last N days. Useful for polling agents that check for new listings — try 1 for daily, 7 for weekly. |
| query | string | no | Keyword query — matches title, description, company name, and tags |
| salary_min | integer | no | Minimum salary in USD. Matches if job's max salary >= this value (range overlap). |
| tags | array | no | Tag filter (e.g. ['llm', 'pytorch']). Returns jobs with ANY of these tags. |
| workplace | string | no | Filter by workplace type |
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.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| id | string | yes | Job ID (UUID) or slug |
Returns top AI/ML companies by active role count, optionally with average salary. Useful for discovering who is hiring in AI.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| limit | integer | no | Max companies (default 20, max 50) |
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.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| slug | string | yes | Company slug (e.g. 'anthropic', 'openai', 'deepmind'). Use the slug from search_jobs or list_companies results. |
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.
No parameter schema on file.
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 emp
| Parameter | Type | Required | Notes |
|---|---|---|---|
| job_type | string | no | — |
| level | string | no | — |
| limit | integer | no | Max results (default 10) |
| location | string | no | Location substring (e.g. 'San Francisco') |
| salary_max | integer | no | Maximum salary USD |
| salary_min | integer | no | Minimum salary USD |
| skills | array | yes | Candidate skills/tags (e.g. ['python','llm','pytorch']) |
| workplace | string | no | — |
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.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| company | string | no | Company slug (e.g. 'anthropic', 'openai') |
| level | string | no | Experience level |
| tag | string | no | Filter by tag (e.g. 'llm', 'pytorch', 'agents') |
| workplace | string | no | Workplace type |
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.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| id | string | yes | Job ID (UUID) or slug — same identifier get_job accepts |
| limit | integer | no | Max results (default 5, max 20) |
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.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| days | integer | no | Look-back window in days (default 7, max 30) |
| limit | integer | no | Max results (default 10, max 25) |
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.
No parameter schema on file.
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.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| candidate_skills | array | no | Candidate-declared skills used to identify relevant public job language. Only verified evidence counts as coverage. |
| evidence_bullets | array | no | Candidate-owned factual evidence. Raw text is processed transiently and is not retained in MCP analytics. |
| job_id | string | yes | Active job UUID or slug returned by search_jobs or get_job. |
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.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| candidate_skills | array | no | Candidate-declared skills. The draft lists a skill as evidence-backed only when verified evidence supports it. |
| evidence_bullets | array | yes | Candidate-owned factual evidence. Raw text is processed transiently and is not retained in MCP analytics. |
| job_id | string | yes | Active job UUID or slug returned by search_jobs or get_job. |
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.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| artifact_hash | string | yes | Exact SHA-256 artifact hash returned by compile_job_specific_resume. |
| artifact_id | string | yes | Private artifact ID returned by compile_job_specific_resume. |
| principal_authorized | boolean | yes | True only after the named candidate reviews and authorizes this exact artifact for its exact 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.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| compiled_artifact_hash | string | yes | Exact SHA-256 hash of the candidate-approved compiled artifact. |
| compiled_artifact_id | string | yes | Private artifact ID returned by compile_job_specific_resume. |
| compiled_authorization_id | string | yes | Short-lived single-use authorization returned by approve_compiled_application. |
| job_id | string | yes | Active job UUID returned by search_jobs or get_job. |
| principal_authorized | boolean | yes | True only after the named candidate explicitly authorizes this exact application. |
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.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| application_id | string | yes | Application ID returned by apply_to_job. |
| outcome | string | yes | — |
| principal_authorized | boolean | yes | True only after the named candidate authorizes this exact self-report. |
List employer-reported interview outcomes for applications submitted with the authenticated developer API key. No candidate fee is ever created.
No parameter schema on file.
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.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| candidate_confirms_interview | boolean | yes | — |
| outcome_id | string | yes | — |
| principal_authorized | boolean | yes | True only after the candidate authorizes this attestation. |
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 r
No parameter schema on file.
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.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| product_id | string | no | The only active value is aidevboard_verified_interview_pilot. |
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.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| company | string | no | Verified Interview Pilot employer company. |
| employer_name | string | no | Verified Interview Pilot employer contact name. Included only in the returned review-request template; this MCP call does not submit it. |
| pilot_authority_asserted | boolean | no | True only after the principal explicitly authorizes requesting owner review for this exact employer and role. |
| pilot_role_reference | string | no | Public job URL, requisition ID, or exact role reference for the pilot. |
| pilot_terms_acknowledged | boolean | no | True only after the employer principal acknowledges the canonical 30-day, $99-per-mutually-confirmed-interview, three-interview/$297-cap terms. |
| product_id | string | no | Product ID from list_products. |
| work_email | string | no | Verified Interview Pilot work email. Included only in the returned review-request template; this MCP call does not submit it. |
- Every tool — any call limit is its publisher’s, not ours
- No card, and mcprush charges nothing for it
- Runs at its publisher’s own address — this marketplace is not in the path
- Nothing to cap, because mcprush bills nothing
What counts against your monthly calls
| Tool | Unit | Calls used | Out of the allowance |
|---|
Nothing here is billable: mcprush charges nothing to install AI Dev Jobs or to call it, at any volume.
Two independent axes, because powerful and malicious are different questions. The grade is threat only. The capability level is blast radius, and it is never a penalty on the grade — it is priced as one subtract-only term in the score, where you can see it.
This listing is an address its publisher runs, and you connect to it directly — this marketplace is not in the path. The scanner reads packages and public source, and an address is neither. So there is no grade — not a withheld one, an unmeasured one.
Release history
This is an address its publisher runs: which release it serves is theirs to choose, so there is nothing here to pin. The history below is for reading; the current release on file is 1.6.2.
No release note was published with this version.
One review per account, from a signed-in account that does not publish this listing. Nothing else is asked — you can say what you think before you install it. Publishers can reply once per review, and a review can be edited or deleted by whoever wrote it.
Any signed-in account that does not publish AI Dev Jobs can review it, once — before installing it or after. A review from an account that has installed it is marked as one.
Nobody has reviewed this listing. The rating on the card is the mean of the reviews written here and nothing else, so there is no rating until somebody writes the first — which takes a signed-in account that does not publish it, and nothing else.