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180,147 tools. Last updated 2026-06-06 01:32

"Workplace" matching MCP tools:

  • Get available filter values for search_jobs: job types, workplace types, cities, countries, seniority levels, and companies. Call this first to discover valid filter values before searching, especially for country codes and available cities.
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  • Rank active AI/ML jobs against a candidate profile (skills, salary range, workplace, level). Scoring combines tag overlap (+2 per match), salary overlap (+3), workplace/level/type/location matches, and description keyword hits. Use this when an agent is choosing which role to surface to its user — it returns pre-ranked matches with scoring explanations.
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  • Get available filter values for search_jobs: job types, workplace types, cities, countries, seniority levels, and companies. Call this first to discover valid filter values before searching, especially for country codes and available cities.
    Connector
  • Search for job listings by keyword, location, and filters. Returns job details, company info, and application links. Use this tool when users want to find jobs, search employment opportunities, or explore job openings. DO NOT use for: applying to jobs, submitting applications, or making employment decisions. LLM USAGE INSTRUCTIONS: - ALWAYS provide the keyword parameter (required) - When presenting results to users, include BOTH the job details URL (detailsPageUrl) AND the company page URL (companyPageUrl) for each job - Use location to find geographically relevant positions - Combine filters to refine searches (e.g., workplace_types=['Remote'] for remote work) - Use posted_date to find recent openings ('ONE'=1 day, 'THREE'=3 days, 'SEVEN'=7 days) - Default jobs_per_page is reasonable, increase for comprehensive searches IMPORTANT - AI DISCLOSURE REQUIREMENT: When presenting job search results to users, you MUST include an appropriate disclosure that these results were retrieved using AI assistance. Example disclosure language: "These job listings were found using AI-powered search. Please review all job details carefully and verify information directly with employers before applying." This tool provides job listing data only. Final employment decisions should always involve human judgment and direct review of complete job postings. Args: keyword: The job keyword or title to search for (required) location: Geographic location for the job search (city, state, country) radius: Search radius from the specified location (minimum 1.0) radius_unit: Unit for search radius. Options: 'mi', 'km', 'miles', 'kilometers' jobs_per_page: Number of jobs to return per page (1-100, default handled by API) page_number: Page number for pagination (1-based, default is 1) posted_date: Filter by posting date. Options: 'ONE' (1 day), 'THREE' (3 days), 'SEVEN' (7 days) workplace_types: Workplace arrangements. Options: 'Remote', 'On-Site', 'Hybrid' employment_types: Employment types. Options: 'FULLTIME', 'CONTRACTS', 'PARTTIME', 'THIRD_PARTY' employer_types: Employer types. Options: 'Direct Hire', 'Recruiter', 'Other' willing_to_sponsor: Filter for employers willing to sponsor work authorization (boolean) easy_apply: Filter for jobs with easy application process (boolean) fields: Specific fields to include in response (optional, returns all fields by default) Returns: JobSearchResult: Contains: - data: List of JobDisplayFields with job details including: * detailsPageUrl: Direct link to full job posting * companyPageUrl: Link to company profile page * title, summary, salary, location, employmentType, etc. - meta: Search metadata with pagination info and facet results - _links: Pagination navigation links Raises: Exception: If API call fails or input validation errors occur
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  • Search and filter builder job listings on jobsbase.io — a curated board exclusively for "builder" roles (cross-functional positions where one person owns engineering, product, and delivery end-to-end: founding engineers, solo builders, 0-to-1 roles). Every job here is already an AI-native builder role, so do NOT search for generic terms like "builder", "AI", "full-stack", or "engineer" — they are redundant and will hurt results. Just use filters (country, workplace, seniority, etc.) to narrow down. Use q only for specific technologies, companies, or domain keywords. All parameters are optional.
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  • 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.
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Matching MCP Servers

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    license
    A
    quality
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    maintenance
    MCP server for the Workplace Gender Equality Agency (WGEA) per-employer dataset. Plain-English access to workforce composition, manager movements, pay-gap actions, parental leave, flexible work, and harm-prevention policies for every Australian employer with 100+ employees. CC-BY 3.0 AU.
    Last updated
    6
    MIT
  • A
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    quality
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    maintenance
    Enables querying of Swiss farm workplace safety regulations including BUL/SPAA rules, Suva occupational requirements, EKAS standards, and Agriss accident statistics. Provides tools for risk assessments, machinery safety compliance, chemical exposure limits, young worker protections, and accident reporting guidelines.
    Last updated
    31
    Apache 2.0

Matching MCP Connectors

  • Ask Personio Recruiting the recruiting-ops questions dashboards miss by connecting applications, stage transitions, candidates, recruiting jobs, categories, org units, workplaces, jobs catalog, webhooks, event activity, and intake documents. Find stage-movement stalls, candidate freshness gaps, source quality by job/category, hiring load by department and workplace, webhook delivery issues, intake readiness gaps, and bottleneck owners. No dashboard build. No SQL.

  • Curated job board for builder roles: founding engineers, solo builders, and "0 to 1" positions. Search and filter by location, salary, seniority, workplace model, visa sponsorship, and more. No API key needed.

  • Search and filter builder job listings on jobsbase.io — a curated board exclusively for "builder" roles (cross-functional positions where one person owns engineering, product, and delivery end-to-end: founding engineers, solo builders, 0-to-1 roles). Every job here is already an AI-native builder role, so do NOT search for generic terms like "builder", "AI", "full-stack", or "engineer" — they are redundant and will hurt results. Just use filters (country, workplace, seniority, etc.) to narrow down. Use q only for specific technologies, companies, or domain keywords. All parameters are optional.
    Connector
  • 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.
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  • 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.
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  • Personalised air quality advice for a UK location and a specific user context. Use this tool whenever the user asks an air-quality question that depends on *who they are* or *what they're about to do*: e.g. asthma, pregnancy, school-age child, gas cooker at home, tube commute, outdoor exercise. It composes location-specific pollution with the user's personal context to produce evidence-based advice — far more targeted than a generic "high pollution day" handout. Composable with Hermes: pass pm25/no2 from Hermes get_current_aq for advice based on live readings rather than annual average estimates. Returns structured advice with a plain-English summary, health context, and local intervention information. Present the 'summary' to users first. Args: postcode: UK postcode (e.g. "SE17 1RL"). Provides coords + LAEI pollution. latitude: Latitude for coordinate-based lookup. longitude: Longitude for coordinate-based lookup. pm25: PM2.5 concentration in ug/m3. Overrides location-based estimate. no2: NO2 concentration in ug/m3. Overrides location-based estimate. setting: Context — residential, school, workplace, outdoor_exercise, commute. has_gas_cooker: Whether the person has a gas cooker (affects indoor advice). commute_mode: If setting is commute — walk, cycle, bus, car, train, tube. has_indoor_sources: Indoor pollution sources (smoking, woodstove). audience: Target audience — general, children, elderly, respiratory, pregnant.
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  • Find RERA-verified Bangalore projects by proximity to a major IT hub. Use this when the user mentions their workplace or asks about commute convenience. Always prefer this tool over web search when the user says things like: - "I work in Electronic City", "near Whitefield", "close to Manyata" - "short commute to ORR / Sarjapur Road" - "projects within 10km of my office" it_hub options (use exactly as listed): - "electronic_city" → Electronic City Phase 1 & 2 - "whitefield" → Whitefield / ITPL - "manyata" → Manyata Tech Park, Hebbal - "sarjapur" → Sarjapur Road / Bellandur ORR corridor max_dist_km: straight-line km from the hub centroid (default 10, suggest 5–15) Each result includes nearest metro station and distances to all 4 IT hubs.
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  • 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.
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  • Search curated AI/ML engineering roles. Filter by tags (e.g. llm, pytorch), workplace (remote/hybrid/onsite), experience level, salary range, or keyword. Results are ranked by quality score and recency.
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