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347,315 tools. Last updated 2026-07-31 00:23

"Workplace" matching MCP tools:

  • Get the full text of one OSHA standard (US workplace-safety / occupational safety and health regulation) by its citation. OSHA standards are 29 CFR — this returns the exact regulatory wording currently in force. Answers "what is the OSHA standard for X", "does OSHA require X", "read the text of 1910.132", "the OSHA fall protection rule". Forgiving citation input: "1910.132", "29 CFR 1910.132", "§1910.132", "1926.501", even "1910.132(a)" (paragraph is stripped to the section). Covers 29 CFR 1910 general industry, 1926 construction, 1915/1917/1918 maritime, 1928 agriculture, plus recordkeeping (1904) and PPE / hazard communication / lockout tagout / respiratory protection / confined space / bloodborne pathogens standards. Pass a whole part (e.g. "1910" or "1926") to get that part's section list instead. Example: osha_standard({ citation: "1910.132" }) → PPE general requirements; osha_standard({ citation: "1926.501" }) → construction fall protection. Keyless.
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  • Find employment-law attorneys near a US location from a public directory of 9,800+ attorneys. Filter by specialization, language, minimum rating, free consultation, and contingency-fee availability. Returns attorneys with firm, city, contact info, rating, and experience, sorted by proximity. Use when a user wants to talk to a lawyer about their workplace situation.
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  • Perform a comprehensive 7-card career tarot spread using SWOT analysis framework (Strengths, Weaknesses, Opportunities, Threats) for professional guidance, business decisions, and vocational clarity. This career-focused reading examines seven strategic business aspects: Current Situation (your present professional position and workplace energy), Strengths (your professional assets, talents, and competitive advantages), Weaknesses (areas needing development, skill gaps, or limiting beliefs), Opportunities (potential growth paths, new ventures, or doors opening), Threats (obstacles, competition, or external challenges), Advice (actionable guidance for navigating your career path), and Outcome (where your professional journey is heading if you follow the guidance). Perfect for career coaching platforms, professional development apps, business consulting tools, job search websites, entrepreneurship platforms, and executive coaching services. Use for career transitions, job offers evaluation, promotion decisions, starting a business, workplace conflicts, finding your calling, or strategic career planning. Combines traditional tarot wisdom with modern SWOT business analysis for practical professional insight. Ideal for employees, entrepreneurs, freelancers, career changers, and anyone seeking vocational direction.
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  • Keyword search across OSHA standards — the US workplace-safety / occupational safety and health regulations in 29 CFR (parts 1900–1990). Answers "what OSHA standards cover X", "OSHA regulation / workplace safety requirement for X", "find the OSHA rule about X". Great for topics: fall protection, hazard communication (HazCom / GHS), lockout tagout (LOTO), respiratory protection, personal protective equipment (PPE), confined space, bloodborne pathogens, machine guarding, scaffolding, excavation, permissible exposure limits, recordkeeping. Returns matching OSHA standards with citation, heading, excerpt, and source URL. Results are filtered to OSHA parts only (1910 general industry, 1926 construction, 1915/1917/1918 maritime, 1928 agriculture, 1904 recordkeeping, etc.) — Title-29 wage/hour parts are excluded. Example: osha_search({ query: "fall protection" }); osha_search({ query: "lockout tagout", limit: 15 }). Keyless.
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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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  • 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.

  • 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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  • Aggregate statistics across devrel.directory in one call: listing counts by category; active job count, distinct hiring companies, the workplace mix (remote/hybrid/onsite counts), the share of roles that are remote or remote-friendly (the site's own classification, which also reads remote-prefixed locations), and salary min/median/max computed ONLY over roles stating USD pay (currencies are never blended); upcoming event count, open CFPs, and CFPs closing within 30 days. Every salary figure carries n, the number of disclosing roles - always cite n alongside any salary figure, and treat a small n as a weak signal; smallSample is true when that sample is below the threshold the site itself requires before quoting a headline salary, so qualify the figures rather than repeating them flat. Each section carries a canonicalUrl to the devrel.directory page behind it, and methodologyUrl links the page stating how the salary figures are computed.
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  • MindPulse: Global mental health intelligence API. Evidence-based guidance on therapy platform matching, mental health assessment, burnout, psychiatric medication context, coping techniques, sleep disorders (CBT- Coverage: Global Endpoints: • match ($0.10): Therapy platform matching • assessment ($0.10): Mental health self-assessment • burnout ($0.10): Burnout assessment and recovery protocol • medication ($0.10): Psychiatric medication context • technique ($0.08): Evidence-based coping technique guide • sleep ($0.08): Sleep disorder guidance (CBT-I protocol) • grief ($0.08): Grief and loss support • relationship ($0.10): Relationship and communication guidance • workplace ($0.08): Workplace mental health guidance • crisis (FREE): Crisis resource routing — ALWAYS FREE • postpartum ($0.10): Postpartum and perinatal mental health guidance • addiction ($0.10): Addiction support and harm-reduction guidance
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  • 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 - Use company_name to scope results to a specific employer - Use sort='datePosted' when the user wants the newest listings instead of the most relevant - Use facets to get aggregate counts (e.g., how many results are remote vs on-site) without paging through all results - After presenting results, do NOT automatically call get_job_details for every job returned. Wait for the user to indicate which specific job(s) they're interested in, then pass that job's guid to get_job_details. 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, requires radius_unit) radius_unit: Unit for search radius. Options: 'mi', 'km' (requires radius) jobs_per_page: Number of jobs to return per page (1-100, defaults to 5) page_number: Page number for pagination (1-based, default is 1) sort: Sort order for results. Options: 'relevance', 'datePosted' (defaults to relevance) 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', 'INTERNSHIP' 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) company_name: Filter by company name fields: Specific fields to include in response (optional, returns all exposed fields by default) facets: Facet dimensions to aggregate (optional). Options: 'employmentType', 'postedDate', 'workFromHomeAvailability', 'workplaceTypes', 'employerType', 'easyApply', 'isRemote', 'willingToSponsor' Returns: JobSearchResult: Contains: - data: List of JobDisplayFields with job details including: * guid: The job's identifier to pass as job_id to get_job_details for the full description and skills list (NOT the `id` field, which is a different, internal identifier not accepted by get_job_details) * detailsPageUrl: Direct link to full job posting * companyPageUrl: Link to company profile page * title, summary, salary, location, employmentType, etc. - metadata: Search metadata with pagination info and facet results 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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  • 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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  • 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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  • Search curated AI/ML engineering roles. Filter by tags (e.g. llm, pytorch), workplace (remote/hybrid/onsite), global remote eligibility, experience level, salary range, or keyword. Results are ranked by quality score and recency and include one AI Market Demand Pack handoff for the full ranked CSV, source URLs, and decision brief.
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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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  • 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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  • 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. Returns pre-ranked matches, scoring explanations, and one AI Market Demand Pack handoff for broader market evidence.
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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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  • 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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