此 MCP 可以做什么
Searches and analyzes current AI and ML job listings, companies, salaries, candidate matching, resume drafts, and human-approved applications.
功能
工具
20
工具
analyze_application_readiness
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-model instructions.
输入模式
{'type': 'object', 'required': ['job_id'], 'properties': {'job_id': {'type': 'string', 'description': 'Active job UUID or slug returned by search_jobs or get_job.'}, 'candidate_skills': {'type': 'array', 'items': {'type': 'string'}, 'maxItems': 50, 'description': 'Candidate-declared skills used to identify relevant public job language. Only verified evidence counts as coverage.'}, 'evidence_bullets': {'type': 'array', 'items': {'type': 'object', 'required': ['id', 'text', 'skills', 'verified'], 'properties': {'id': {'type': 'string', 'description': 'Candidate-controlled stable evidence reference.'}, 'text': {'type': 'string', 'description': 'One factual, single-line resume bullet. Hidden text and screening-model instructions are rejected.'}, 'skills': {'type': 'array', 'items': {'type': 'string'}, 'maxItems': 20}, 'verified': {'type': 'boolean', 'description': 'True only when the candidate has verified this claim and its provenance.'}}}, 'maxItems': 50, 'description': 'Candidate-owned factual evidence. Raw text is processed transiently and is not retained in MCP analytics.'}}}
apply_to_job
Submit a Confirmed Job Application
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.
输入模式
{'type': 'object', 'required': ['job_id', 'principal_authorized', 'compiled_artifact_id', 'compiled_artifact_hash', 'compiled_authorization_id'], 'properties': {'job_id': {'type': 'string', 'description': 'Active job UUID returned by search_jobs or get_job.'}, 'compiled_artifact_id': {'type': 'string', 'description': 'Private artifact ID returned by compile_job_specific_resume.'}, 'principal_authorized': {'type': 'boolean', 'description': 'True only after the named candidate explicitly authorizes this exact application.'}, 'compiled_artifact_hash': {'type': 'string', 'description': 'Exact SHA-256 hash of the candidate-approved compiled artifact.'}, 'compiled_authorization_id': {'type': 'string', 'description': 'Short-lived single-use authorization returned by approve_compiled_application.'}}}
approve_compiled_application
Approve an Exact 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.
输入模式
{'type': 'object', 'required': ['artifact_id', 'artifact_hash', 'principal_authorized'], 'properties': {'artifact_id': {'type': 'string', 'description': 'Private artifact ID returned by compile_job_specific_resume.'}, 'artifact_hash': {'type': 'string', 'description': 'Exact SHA-256 artifact hash returned by compile_job_specific_resume.'}, 'principal_authorized': {'type': 'boolean', 'description': 'True only after the named candidate reviews and authorizes this exact artifact for its exact job.'}}}
compile_job_specific_resume
Compile a Job-Specific Resume Draft
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.
输入模式
{'type': 'object', 'required': ['job_id', 'evidence_bullets'], 'properties': {'job_id': {'type': 'string', 'description': 'Active job UUID or slug returned by search_jobs or get_job.'}, 'candidate_skills': {'type': 'array', 'items': {'type': 'string'}, 'maxItems': 50, 'description': 'Candidate-declared skills. The draft lists a skill as evidence-backed only when verified evidence supports it.'}, 'evidence_bullets': {'type': 'array', 'items': {'type': 'object', 'required': ['id', 'text', 'skills', 'verified'], 'properties': {'id': {'type': 'string', 'description': 'Candidate-controlled stable evidence reference.'}, 'text': {'type': 'string', 'description': 'One factual, single-line resume bullet. Hidden text and screening-model instructions are rejected.'}, 'skills': {'type': 'array', 'items': {'type': 'string'}, 'maxItems': 20}, 'verified': {'type': 'boolean', 'description': 'True only when the candidate has verified this claim and its provenance.'}}}, 'maxItems': 50, 'description': 'Candidate-owned factual evidence. Raw text is processed transiently and is not retained in MCP analytics.'}}}
get_company
Get Company Profile
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.
输入模式
{'type': 'object', 'required': ['slug'], 'properties': {'slug': {'type': 'string', 'description': "Company slug (e.g. 'anthropic', 'openai', 'deepmind'). Use the slug from search_jobs or list_companies results."}}}
get_job
Get Job Details
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.
输入模式
{'type': 'object', 'required': ['id'], 'properties': {'id': {'type': 'string', 'description': 'Job ID (UUID) or slug'}}}
get_salary_data
Get Salary Benchmarks
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.
输入模式
{'type': 'object', 'properties': {'tag': {'type': 'string', 'description': "Filter by tag (e.g. 'llm', 'pytorch', 'agents')"}, 'level': {'enum': ['junior', 'mid', 'senior', 'lead', 'principal'], 'type': 'string', 'description': 'Experience level'}, 'company': {'type': 'string', 'description': "Company slug (e.g. 'anthropic', 'openai')"}, 'workplace': {'enum': ['remote', 'hybrid', 'onsite'], 'type': 'string', 'description': 'Workplace type'}}}
get_similar_jobs
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.
输入模式
{'type': 'object', 'required': ['id'], 'properties': {'id': {'type': 'string', 'description': 'Job ID (UUID) or slug — same identifier get_job accepts'}, 'limit': {'type': 'integer', 'maximum': 20, 'minimum': 1, 'description': 'Max results (default 5, max 20)'}}}
get_stats
Get Index 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.
输入模式
{'type': 'object', 'properties': {}}
get_trending_companies
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.
输入模式
{'type': 'object', 'properties': {'days': {'type': 'integer', 'maximum': 30, 'minimum': 1, 'description': 'Look-back window in days (default 7, max 30)'}, 'limit': {'type': 'integer', 'maximum': 25, 'minimum': 1, 'description': 'Max results (default 10, max 25)'}}}
list_companies
List Top Hiring Companies
Returns top AI/ML companies by active role count, optionally with average salary. Useful for discovering who is hiring in AI.
输入模式
{'type': 'object', 'properties': {'limit': {'type': 'integer', 'maximum': 50, 'minimum': 1, 'description': 'Max companies (default 20, max 50)'}}}
list_my_interview_outcomes
List My Interview Confirmations
List employer-reported interview outcomes for applications submitted with the authenticated developer API key. No candidate fee is ever created.
输入模式
{'type': 'object', 'properties': {}}
list_products
List Outcome-Based Employer Pilot
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.
输入模式
{'type': 'object', 'properties': {}}
list_tags
List Available 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.
输入模式
{'type': 'object', 'properties': {}}
match_jobs
Match Jobs to Candidate Profile
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.
输入模式
{'type': 'object', 'required': ['skills'], 'properties': {'level': {'enum': ['junior', 'mid', 'senior', 'lead', 'principal'], 'type': 'string'}, 'limit': {'type': 'integer', 'maximum': 25, 'minimum': 1, 'description': 'Max results (default 10)'}, 'skills': {'type': 'array', 'items': {'type': 'string'}, 'description': "Candidate skills/tags (e.g. ['python','llm','pytorch'])"}, 'job_type': {'enum': ['full-time', 'part-time', 'contract', 'freelance'], 'type': 'string'}, 'location': {'type': 'string', 'description': "Location substring (e.g. 'San Francisco')"}, 'workplace': {'enum': ['remote', 'hybrid', 'onsite'], 'type': 'string'}, 'salary_max': {'type': 'integer', 'description': 'Maximum salary USD'}, 'salary_min': {'type': 'integer', 'description': 'Minimum salary USD'}}}
quote_product
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.
输入模式
{'type': 'object', 'properties': {'product_id': {'type': 'string', 'description': 'The only active value is aidevboard_verified_interview_pilot.'}}}
record_my_application_outcome
Record My Screening Progress
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.
输入模式
{'type': 'object', 'required': ['application_id', 'outcome', 'principal_authorized'], 'properties': {'outcome': {'enum': ['screening_requested', 'assessment_requested', 'interview_requested', 'rejected', 'withdrawn', 'no_response_30d'], 'type': 'string'}, 'application_id': {'type': 'string', 'description': 'Application ID returned by apply_to_job.'}, 'principal_authorized': {'type': 'boolean', 'description': 'True only after the named candidate authorizes this exact self-report.'}}}
respond_to_interview_outcome
Confirm or Dispute an 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.
输入模式
{'type': 'object', 'required': ['outcome_id', 'candidate_confirms_interview', 'principal_authorized'], 'properties': {'outcome_id': {'type': 'string'}, 'principal_authorized': {'type': 'boolean', 'description': 'True only after the candidate authorizes this attestation.'}, 'candidate_confirms_interview': {'type': 'boolean'}}}
search_jobs
Search AI/ML 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 without identity; a verified key is required only to save an approval-bound artifact. The employer outcome pilot never affects organic results.
输入模式
{'type': 'object', 'properties': {'tags': {'type': 'array', 'items': {'type': 'string'}, 'description': "Tag filter (e.g. ['llm', 'pytorch']). Returns jobs with ANY of these tags."}, 'level': {'enum': ['junior', 'mid', 'senior', 'lead', 'principal'], 'type': 'string', 'description': 'Experience level'}, 'limit': {'type': 'integer', 'maximum': 25, 'minimum': 1, 'description': 'Max results (default 10, max 25)'}, 'query': {'type': 'string', 'description': 'Keyword query — matches title, description, company name, and tags'}, 'company': {'type': 'string', 'description': "Company slug (e.g. 'openai', 'anthropic') — returns only that company's jobs"}, 'job_type': {'enum': ['full-time', 'part-time', 'contract', 'freelance'], 'type': 'string', 'description': 'Employment type'}, 'location': {'type': 'string', 'description': "Location substring (e.g. 'San Francisco')"}, 'workplace': {'enum': ['remote', 'hybrid', 'onsite'], 'type': 'string', 'description': 'Filter by workplace type'}, 'salary_min': {'type': 'integer', 'description': "Minimum salary in USD. Matches if job's max salary >= this value (range overlap)."}, 'global_remote': {'type': 'boolean', 'description': 'Only roles explicitly open to candidates worldwide. Ambiguous or region-restricted remote jobs are excluded.'}, 'posted_within_days': {'type': 'integer', 'maximum': 90, 'minimum': 1, 'description': '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.'}}}
start_checkout
Request Outcome-Based Employer Pilot Review
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.
输入模式
{'type': 'object', 'properties': {'company': {'type': 'string', 'description': 'Verified Interview Pilot employer company.'}, 'product_id': {'type': 'string', 'description': 'Product ID from list_products.'}, 'work_email': {'type': 'string', 'description': 'Verified Interview Pilot work email. Included only in the returned review-request template; this MCP call does not submit it.'}, 'employer_name': {'type': 'string', 'description': 'Verified Interview Pilot employer contact name. Included only in the returned review-request template; this MCP call does not submit it.'}, 'pilot_role_reference': {'type': 'string', 'description': 'Public job URL, requisition ID, or exact role reference for the pilot.'}, 'pilot_authority_asserted': {'type': 'boolean', 'description': 'True only after the principal explicitly authorizes requesting owner review for this exact employer and role.'}, 'pilot_terms_acknowledged': {'type': 'boolean', 'description': 'True only after the employer principal acknowledges the canonical 30-day, $99-per-mutually-confirmed-interview, three-interview/$297-cap terms.'}}}
历史
近期工具变更
已添加
start_checkout
2026年9月17日 12:33
已添加
quote_product
2026年9月17日 12:33
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list_products
2026年9月17日 12:33
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respond_to_interview_outcome
2026年9月17日 12:33
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list_my_interview_outcomes
2026年9月17日 12:33
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record_my_application_outcome
2026年9月17日 12:33
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apply_to_job
2026年9月17日 12:33
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approve_compiled_application
2026年9月17日 12:33
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compile_job_specific_resume
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analyze_application_readiness
2026年9月17日 12:33
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list_tags
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get_trending_companies
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get_similar_jobs
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get_salary_data
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match_jobs
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get_stats
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get_company
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list_companies
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get_job
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search_jobs
2026年9月17日 12:33
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