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com.aidevboard/jobs
serveur MCP (Model Context Protocol) · aidevjobs 1.0.0
Référencé dans l'annuaire. Seul le pentest comportemental fait foi, et il n'a pas encore été exécuté sur ce serveur.
Est-ce que com.aidevboard/jobs est sûr ?
Au dernier audit MCP Hub, le serveur MCP « com.aidevboard/jobs » est classé « Non encore testé ». Référencé dans l'annuaire. Seul le pentest comportemental fait foi, et il n'a pas encore été exécuté sur ce serveur. Le verdict est réévalué en continu ; consultez la fiche pour l'état à jour.
Méthode : MCP Hub analyse la description de chaque outil (couche 1) et, pour le verdict fort, exécute le serveur dans une micro-VM isolée avec leurres et réseau bloqué (couche 2). On publie des noms et des compteurs, jamais le contenu brut renvoyé par un outil.
Les 20 outils
- analyze_application_readiness≈ 383 tokens
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.
Paramètres, retour & exemple (3)
Paramètresjob_id· string · requis
Active job UUID or slug returned by search_jobs or get_job.candidate_skills· array · optionnel
Candidate-declared skills used to identify relevant public job language. Only verified evidence counts as coverage.evidence_bullets· array · optionnel
Candidate-owned factual evidence. Raw text is processed transiently and is not retained in MCP analytics.
Exemple d'appel{"name": "analyze_application_readiness", "arguments": {"job_id": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - apply_to_job≈ 288 tokens
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.
Paramètres, retour & exemple (5)
Paramètresjob_id· string · requis
Active job UUID returned by search_jobs or get_job.compiled_artifact_id· string · requis
Private artifact ID returned by compile_job_specific_resume.principal_authorized· boolean · requis
True only after the named candidate explicitly authorizes this exact application.compiled_artifact_hash· string · requis
Exact SHA-256 hash of the candidate-approved compiled artifact.compiled_authorization_id· string · requis
Short-lived single-use authorization returned by approve_compiled_application.
Exemple d'appel{"name": "apply_to_job", "arguments": {"job_id": "texte", "compiled_artifact_id": "texte", "principal_authorized": true, "compiled_artifact_hash": "texte", "compiled_authorization_id": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - approve_compiled_application≈ 217 tokens
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.
Paramètres, retour & exemple (3)
Paramètresartifact_id· string · requis
Private artifact ID returned by compile_job_specific_resume.artifact_hash· string · requis
Exact SHA-256 artifact hash returned by compile_job_specific_resume.principal_authorized· boolean · requis
True only after the named candidate reviews and authorizes this exact artifact for its exact job.
Exemple d'appel{"name": "approve_compiled_application", "arguments": {"artifact_id": "texte", "artifact_hash": "texte", "principal_authorized": true}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - compile_job_specific_resume≈ 418 tokens
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.
Paramètres, retour & exemple (3)
Paramètresjob_id· string · requis
Active job UUID or slug returned by search_jobs or get_job.candidate_skills· array · optionnel
Candidate-declared skills. The draft lists a skill as evidence-backed only when verified evidence supports it.evidence_bullets· array · requis
Candidate-owned factual evidence. Raw text is processed transiently and is not retained in MCP analytics.
Exemple d'appel{"name": "compile_job_specific_resume", "arguments": {"job_id": "texte", "evidence_bullets": []}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - get_company≈ 128 tokens
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.
Paramètres, retour & exemple (1)
Paramètresslug· string · requis
Company slug (e.g. 'anthropic', 'openai', 'deepmind'). Use the slug from search_jobs or list_companies results.
Exemple d'appel{"name": "get_company", "arguments": {"slug": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - get_job≈ 90 tokens
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.
Paramètres, retour & exemple (1)
Paramètresid· string · requis
Job ID (UUID) or slug
Exemple d'appel{"name": "get_job", "arguments": {"id": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - get_salary_data≈ 194 tokens
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.
Paramètres, retour & exemple (4)
Paramètrestag· string · optionnel
Filter by tag (e.g. 'llm', 'pytorch', 'agents')level· string · optionnel · junior | mid | senior | lead | principal
Experience levelcompany· string · optionnel
Company slug (e.g. 'anthropic', 'openai')workplace· string · optionnel · remote | hybrid | onsite
Workplace type
Exemple d'appel{"name": "get_salary_data", "arguments": {"tag": "texte", "level": "junior", "company": "texte", "workplace": "remote"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - get_similar_jobs≈ 152 tokens
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.
Paramètres, retour & exemple (2)
Paramètresid· string · requis
Job ID (UUID) or slug — same identifier get_job acceptslimit· integer · optionnel
Max results (default 5, max 20)
Exemple d'appel{"name": "get_similar_jobs", "arguments": {"id": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - get_stats≈ 92 tokens
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.
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "get_stats", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - get_trending_companies≈ 159 tokens
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.
Paramètres, retour & exemple (2)
Paramètresdays· integer · optionnel
Look-back window in days (default 7, max 30)limit· integer · optionnel
Max results (default 10, max 25)
Exemple d'appel{"name": "get_trending_companies", "arguments": {"days": 1, "limit": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - list_companies≈ 93 tokens
Returns top AI/ML companies by active role count, optionally with average salary. Useful for discovering who is hiring in AI.
Paramètres, retour & exemple (1)
Paramètreslimit· integer · optionnel
Max companies (default 20, max 50)
Exemple d'appel{"name": "list_companies", "arguments": {"limit": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - list_my_interview_outcomes≈ 74 tokens
List employer-reported interview outcomes for applications submitted with the authenticated developer API key. No candidate fee is ever created.
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "list_my_interview_outcomes", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - list_products≈ 138 tokens
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.
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "list_products", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - list_tags≈ 67 tokens
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.
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "list_tags", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - match_jobs≈ 333 tokens
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.
Paramètres, retour & exemple (8)
Paramètreslevel· string · optionnel · junior | mid | senior | lead | principallimit· integer · optionnel
Max results (default 10)skills· array · requis
Candidate skills/tags (e.g. ['python','llm','pytorch'])job_type· string · optionnel · full-time | part-time | contract | freelancelocation· string · optionnel
Location substring (e.g. 'San Francisco')workplace· string · optionnel · remote | hybrid | onsitesalary_max· integer · optionnel
Maximum salary USDsalary_min· integer · optionnel
Minimum salary USD
Exemple d'appel{"name": "match_jobs", "arguments": {"skills": []}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - quote_product≈ 111 tokens
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.
Paramètres, retour & exemple (1)
Paramètresproduct_id· string · optionnel
The only active value is aidevboard_verified_interview_pilot.
Exemple d'appel{"name": "quote_product", "arguments": {"product_id": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - record_my_application_outcome≈ 209 tokens
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.
Paramètres, retour & exemple (3)
Paramètresoutcome· string · requis · screening_requested | assessment_requested | interview_requested | rejected | withdrawn | no_response_30dapplication_id· string · requis
Application ID returned by apply_to_job.principal_authorized· boolean · requis
True only after the named candidate authorizes this exact self-report.
Exemple d'appel{"name": "record_my_application_outcome", "arguments": {"outcome": "screening_requested", "application_id": "texte", "principal_authorized": true}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - respond_to_interview_outcome≈ 168 tokens
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.
Paramètres, retour & exemple (3)
Paramètresoutcome_id· string · requisprincipal_authorized· boolean · requis
True only after the candidate authorizes this attestation.candidate_confirms_interview· boolean · requis
Exemple d'appel{"name": "respond_to_interview_outcome", "arguments": {"outcome_id": "texte", "principal_authorized": true, "candidate_confirms_interview": true}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - search_jobs≈ 512 tokens
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.
Paramètres, retour & exemple (11)
Paramètrestags· array · optionnel
Tag filter (e.g. ['llm', 'pytorch']). Returns jobs with ANY of these tags.level· string · optionnel · junior | mid | senior | lead | principal
Experience levellimit· integer · optionnel
Max results (default 10, max 25)query· string · optionnel
Keyword query — matches title, description, company name, and tagscompany· string · optionnel
Company slug (e.g. 'openai', 'anthropic') — returns only that company's jobsjob_type· string · optionnel · full-time | part-time | contract | freelance
Employment typelocation· string · optionnel
Location substring (e.g. 'San Francisco')workplace· string · optionnel · remote | hybrid | onsite
Filter by workplace typesalary_min· integer · optionnel
Minimum salary in USD. Matches if job's max salary >= this value (range overlap).global_remote· boolean · optionnel
Only roles explicitly open to candidates worldwide. Ambiguous or region-restricted remote jobs are excluded.posted_within_days· integer · optionnel
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.
Exemple d'appel{"name": "search_jobs", "arguments": {"tags": [], "level": "junior", "limit": 1, "query": "texte", "company": "texte", "job_type": "full-time"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - start_checkout≈ 383 tokens
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.
Paramètres, retour & exemple (7)
Paramètrescompany· string · optionnel
Verified Interview Pilot employer company.product_id· string · optionnel
Product ID from list_products.work_email· string · optionnel
Verified Interview Pilot work email. Included only in the returned review-request template; this MCP call does not submit it.employer_name· string · optionnel
Verified Interview Pilot employer contact name. Included only in the returned review-request template; this MCP call does not submit it.pilot_role_reference· string · optionnel
Public job URL, requisition ID, or exact role reference for the pilot.pilot_authority_asserted· boolean · optionnel
True only after the principal explicitly authorizes requesting owner review for this exact employer and role.pilot_terms_acknowledged· boolean · optionnel
True only after the employer principal acknowledges the canonical 30-day, $99-per-mutually-confirmed-interview, three-interview/$297-cap terms.
Exemple d'appel{"name": "start_checkout", "arguments": {"company": "texte", "product_id": "texte", "work_email": "texte", "employer_name": "texte", "pilot_role_reference": "texte", "pilot_authority_asserted": true}}Exemple de retour{"content": [{"type": "text", "text": "…"}]}
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