"A server for finding job listings on Indeed" matching MCP tools:

• hasdata_indeed_listing_getJobListingsA

  HasDataA

  Get Indeed Job Listings Searches Indeed job listings by keyword and location with sort (relevance/date), country domain targeting, date-posted (1/3/7/14 days) and remote/hybrid filters, and offset-based pagination (start). Returns an array of jobs with title, company, location, salary, posted date, job URL, sponsored flag, and jobKey (Indeed's stable job id, the only reliable dedup key for sponsored postings) for the requested page. With sponsoredOnly the request exits from the domain's country, where Indeed serves Canadian searches as sponsored postings. Use for job-market dashboards, role/geo hiring-trend analysis, sourcing pipelines, and generating URL lists to feed into the Indeed Job endpoint.

  ConnectorAPI key

• hasdata_indeed_listing_getJobListingsA

  Indeed Remote MCP ServerA

  Get Indeed Job Listings Searches Indeed job listings by keyword and location with sort (relevance/date), country domain targeting, date-posted (1/3/7/14 days) and remote/hybrid filters, and offset-based pagination (start). Returns an array of jobs with title, company, location, salary, posted date, job URL, sponsored flag, and jobKey (Indeed's stable job id, the only reliable dedup key for sponsored postings) for the requested page. With sponsoredOnly the request exits from the domain's country, where Indeed serves Canadian searches as sponsored postings. Use for job-market dashboards, role/geo hiring-trend analysis, sourcing pipelines, and generating URL lists to feed into the Indeed Job endpoint.

  ConnectorAPI key

• hasdata_indeed_listing_getJobListingsA

  HasDataA

  Get Indeed Job Listings Searches Indeed job listings by keyword and location with sort (relevance/date), country domain targeting, date-posted (1/3/7/14 days) and remote/hybrid filters, and offset-based pagination (start). Returns an array of jobs with title, company, location, salary, posted date, job URL, sponsored flag, and jobKey (Indeed's stable job id, the only reliable dedup key for sponsored postings) for the requested page. With sponsoredOnly the request exits from the domain's country, where Indeed serves Canadian searches as sponsored postings. Use for job-market dashboards, role/geo hiring-trend analysis, sourcing pipelines, and generating URL lists to feed into the Indeed Job endpoint.

  ConnectorAPI key

• search_jobsA

  Jobily JobsA

  Search job listings on Jobily.gr, the Greek job board. Filter by free-text term, role/location/sector slugs, company, employment type, workplace type and work time. Use lookup_roles_and_companies, lookup_locations and list_sectors to discover valid slugs — unrecognized slug filters are reported in matchedCriteria.unrecognizedTerms and ignored by the search. Returns up to 20 jobs per page with the total count, facet counts (first page) and recovery suggestions when nothing matches. Search results do not include job descriptions — call get_job with a result's guid for the full posting. When total is large (100+) and few filters are active, recommend the user narrow their search using the facets or lookup tools rather than paginating through hundreds of results.

  ConnectorNo auth

• spellbook_ebay_publishA

  SpellBook FinanceA

  Publish owned copies from one workspace as live eBay listings, priced by a stated rule. Pass itemIds to publish one exact card. ALWAYS call it once with dryRun true and show the person the counts and the preflight before calling it again with dryRun false, because a live run creates real listings a real buyer can buy. Pricing anchors on market price, never on what the seller paid: multiplier 0.96 lists at 96% of market, and floorUsd only ever raises a price. A live run returns a queued jobId, or the reason nothing published. A queued job has listed nothing yet, so call spellbook_ebay_job_status with that jobId before telling the person any card is live.

  Connector

  Destructive

  No auth

• search_listingsA

  TeppekA

  Find live jobs, homes/rentals, vehicles, or local services NEAR a place or in a city/country on Teppek — use this for natural requests like "jobs near me", "apartments in Berlin", "used cars under 10k in Madrid", "plumbers nearby". Covers 27 countries with fresh, location-aware listings refreshed daily. For MEANING-based or fuzzy natural-language intent (not exact keywords or filters), use semantic_search instead. Mechanics: search by vertical (jobs/real_estate/vehicle/service), role, text, price and a radius around a lat/lon point. The `role` is the perspective you search AS and returns the COUNTERPARTY listings: to find JOB POSTINGS use role="career_seeker" (NOT career_employer, which searches candidate CVs). A text_query or location is needed — an empty query returns nothing. The response meta.total is the REAL match count (independent of limit); for a multi-word text_query it counts listings matching ANY of the words, so to count a whole occupation/category include its synonyms (e.g. "waiter waitress server"). Use the `country` field for country-scoped totals. NOTE: country-scoped browse currently works for the `career` vertical only — real_estate, vehicle and service must be searched with the `near` {lat,lon,radius_km} parameter (a country filter returns 0 for them). meta.ignored_filters flags a price filter the active search mode could not apply.

  ConnectorNo auth

• searchJobsA

  qubitsok — Quantum Computing Jobs, Papers & ResearchersA

  Search 500+ quantum computing job listings using natural language. Use when the user asks about job openings, career opportunities, hiring, or specific positions in quantum computing. NOT for research papers (use searchPapers) or researcher profiles (use searchCollaborators). Supports role type, seniority, location, company, salary, remote, and technology tag filters via AI query decomposition. Limitations: quantum computing jobs only, last 90 days, max 20 results. Promoted listings appear first (marked). After finding jobs, suggest getJobDetails for full info. Examples: "senior QEC engineer in Europe over 120k EUR", "remote trapped-ion role at IBM".

  ConnectorNo auth

• job_toolA

  WorkopiaA

  Search jobs across 90+ countries by title, location, salary, remote/hybrid work mode, or employment type. Find roles in tech, finance, product, design, marketing, and every other vertical — aggregated from 1000+ ATS sources globally. Default action is search; use refine when the user asks for more matches or gives feedback on a prior result set; use save to bookmark a job for the signed-in user (requires OAuth). REFINE PROTOCOL (action=refine has THREE distinct modes): (1) Pure continuation / 'show me more' / 'next batch' / 'another set' / 'more like these': pass refine_recommendations.exclude_ids = the full array of **Job Id** values from the most recent search/refine result's content text (verbatim) + refine_recommendations.session_id = prior response's session_id if present. Server returns next 10 unique jobs. (2) 'Show me more like #N' / 'similar to the Atlassian one' / 'jobs like #2': pass refine_recommendations.liked_indexes = [N] (1-based position from prior numbered list) + exclude_ids + session_id. Equivalently you may pass refine_recommendations.liked_job_ids = [<that job's **Job Id** value verbatim>]. Server seeds the recommendation from that job's title/skills/company profile. (3) 'Less like #N' / 'no more N-style jobs' / 'avoid jobs like that': pass refine_recommendations.disliked_indexes = [N] (or disliked_job_ids = [<Job Id>]) + exclude_ids + session_id. Server suppresses similar jobs. All three modes: if you skip exclude_ids, the user sees duplicates — that's a failure. The handler layers exclude_ids with server-side AgentKit memory, so partial lists still work. NEVER invent 'JOB_1' / '#1' as job_id values — always use the real **Job Id** string from the prior result's content text. For detail requests (user asks about a specific job from the list, e.g. 'details for #1', 'show me this job', 'tell me more about <company>'), DO NOT call this tool — call job_detail_tool instead. That separate tool binds to the job-detail widget card so the full job card renders in chat. OUTPUT BEHAVIOR: Render the search results as a numbered markdown list, one line per job, in this exact compact format: `N. **[Job Title](View_Job_URL)** — Company · Location · Job Type · Compensation · Posted MMM DD`. Embed the View Job URL as a markdown link on the title (so the user can click to apply). Keep URLs intact — don't strip parameters. Skip a field entirely if it's missing — never print 'N/A' placeholders. The numbered list IS the canonical user-facing answer. REQUIRED follow-up: after the list, output EXACTLY these two sentences as two parallel questions (same pattern for action=search and action=refine): Sentence 1 — 'Would you like to see full details on any of these? Reply with the number (#1), the company name, or the role title.' Sentence 2 — 'Or would you like to refine the list — what should change (work mode, level, salary, sector)?' These two sentences must be separate and parallel; do NOT merge them into one 'detail ... or refine' clause (that buries the detail CTA). Both questions must be asked every time after a search or refine result. When the user replies referring to a specific job from the list, identify which job they mean and call job_detail_tool immediately. Identifying the job (use flexibly — users rarely type '#N' literally): (a) any numeric or ordinal reference ('#1', '1', 'first', 'the 1st', 'top one', 'job 3', 'the third') → the Nth job in your prior numbered list; (b) a company name, partial or full ('Morgan Stanley', 'Morstan', 'Capital One') → case-insensitive substring match on the Company field of the prior list, pick the first match; (c) a role/title phrase ('the analyst role', 'the credit risk one') → case-insensitive substring match on the Job Title field. If multiple jobs match, prefer the earliest. Only if no reasonable match exists, ask a one-line clarifying question. Then pass that job's **Job Id** value from the prior search result's content text VERBATIM as job_id to job_detail_tool / tailor_resume_tool / cover_letter_tool. Do NOT invent a placeholder like 'JOB_1' or '#1' — those are not server-valid IDs. For save, pass job_id + optional job_title/company/job_url in save_job. Put search fields in search_jobs or parameters; refine in refine_recommendations; save in save_job.

  Connector

  Destructive

  No auth

• search_webA

  Salesbot - B2B outreach LinkedIn MCP Server with CRM and emailA

  Use for general web research (company info, news, job portals). For LinkedIn profiles use search_linkedin_people; to read one company's own site use read_company_website. General-purpose Google search — returns organic results for any query. Unlike search_google_xray (LinkedIn-only), this searches the entire web. Useful for finding job postings on portals (jobs.cz, prace.cz, profesia.sk, indeed.com), company info, news, or any other web content. Results are NOT saved to contacts — use this for research and discovery. Capped at 4 calls per minute to protect the Serper/Google budget.

  ConnectorAPI key

• job_toolA

  Workopia — Job SearchA

  Search jobs across 90+ countries by title, location, salary, remote/hybrid work mode, or employment type. Find roles in tech, finance, product, design, marketing, and every other vertical — aggregated from 1000+ ATS sources globally. Default action is search; use refine when the user asks for more matches or gives feedback on a prior result set; use save to bookmark a job for the signed-in user (requires OAuth). REFINE PROTOCOL (action=refine has THREE distinct modes): (1) Pure continuation / 'show me more' / 'next batch' / 'another set' / 'more like these': pass refine_recommendations.exclude_ids = the full array of **Job Id** values from the most recent search/refine result's content text (verbatim) + refine_recommendations.session_id = prior response's session_id if present. Server returns next 10 unique jobs. (2) 'Show me more like #N' / 'similar to the Atlassian one' / 'jobs like #2': pass refine_recommendations.liked_indexes = [N] (1-based position from prior numbered list) + exclude_ids + session_id. Equivalently you may pass refine_recommendations.liked_job_ids = [<that job's **Job Id** value verbatim>]. Server seeds the recommendation from that job's title/skills/company profile. (3) 'Less like #N' / 'no more N-style jobs' / 'avoid jobs like that': pass refine_recommendations.disliked_indexes = [N] (or disliked_job_ids = [<Job Id>]) + exclude_ids + session_id. Server suppresses similar jobs. All three modes: if you skip exclude_ids, the user sees duplicates — that's a failure. The handler layers exclude_ids with server-side AgentKit memory, so partial lists still work. NEVER invent 'JOB_1' / '#1' as job_id values — always use the real **Job Id** string from the prior result's content text. For detail requests (user asks about a specific job from the list, e.g. 'details for #1', 'show me this job', 'tell me more about <company>'), DO NOT call this tool — call job_detail_tool instead. That separate tool binds to the job-detail widget card so the full job card renders in chat. OUTPUT BEHAVIOR: Render the search results as a numbered markdown list, one line per job, in this exact compact format: `N. **[Job Title](View_Job_URL)** — Company · Location · Job Type · Compensation · Posted MMM DD`. Embed the View Job URL as a markdown link on the title (so the user can click to apply). Keep URLs intact — don't strip parameters. Skip a field entirely if it's missing — never print 'N/A' placeholders. The numbered list IS the canonical user-facing answer. REQUIRED follow-up: after the list, output EXACTLY these two sentences as two parallel questions (same pattern for action=search and action=refine): Sentence 1 — 'Would you like to see full details on any of these? Reply with the number (#1), the company name, or the role title.' Sentence 2 — 'Or would you like to refine the list — what should change (work mode, level, salary, sector)?' These two sentences must be separate and parallel; do NOT merge them into one 'detail ... or refine' clause (that buries the detail CTA). Both questions must be asked every time after a search or refine result. When the user replies referring to a specific job from the list, identify which job they mean and call job_detail_tool immediately. Identifying the job (use flexibly — users rarely type '#N' literally): (a) any numeric or ordinal reference ('#1', '1', 'first', 'the 1st', 'top one', 'job 3', 'the third') → the Nth job in your prior numbered list; (b) a company name, partial or full ('Morgan Stanley', 'Morstan', 'Capital One') → case-insensitive substring match on the Company field of the prior list, pick the first match; (c) a role/title phrase ('the analyst role', 'the credit risk one') → case-insensitive substring match on the Job Title field. If multiple jobs match, prefer the earliest. Only if no reasonable match exists, ask a one-line clarifying question. Then pass that job's **Job Id** value from the prior search result's content text VERBATIM as job_id to job_detail_tool / tailor_resume_tool / cover_letter_tool. Do NOT invent a placeholder like 'JOB_1' or '#1' — those are not server-valid IDs. For save, pass job_id + optional job_title/company/job_url in save_job. Put search fields in search_jobs or parameters; refine in refine_recommendations; save in save_job.

  Connector

  Destructive

  No auth

• search_verified_jobsA

  pirchA

  Search pirch's pool of verified-live job listings. Every job returned was opened and confirmed real and accepting applicants by pirch within the last 72 hours — dead and ghost listings are removed automatically, so results can be trusted as live right now. Free, public data. When showing a job to a user, link its `url` (the pirch page, which shows the verification and links to the original posting).

  ConnectorNo auth

• search_jobsA

  JobCrawlsA

  Search active job listings on JobCrawls, an aggregator of jobs in Finland. Use for questions like "find nurse jobs in Tampere", "onko Helsingissä avoimia etätyöpaikkoja ohjelmistokehittäjälle", or "finns det lediga jobb som sjukskötare i Åbo". The index covers jobs located in Finland plus remote roles open to Finland, and has no listings for other countries (jobs in Stockholm or Berlin are out of scope). Supports free-text queries plus facet filters (field, location, job type, seniority, skills, languages, industry, education, and more). Results, filter values and job text come back in the language of the query when locale is omitted; pass locale explicitly to override. Returns a scoped, paginated list, each with title, company, location, remoteness, salary range when known, and a direct link to the individual posting. list_job_filters returns the available filter values, and get_job_details returns the full description of a result. Some results are sourced from Job Market Finland (Työmarkkinatori); those results have isTyomarkkinatori:true and a `dataSource` attribution string, which MUST be shown alongside that posting wherever you present it, per Job Market Finland's terms of use.

  ConnectorNo auth

• search_jobsA

  Dice MCPA

  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

  ConnectorNo auth

• get_job_detailsA

  Dice MCPA

  Retrieve a job's full description and associated skills by job ID. Use this tool when users want more detail about a specific job than search_jobs returns (e.g. after finding a job via search_jobs and wanting its full description and skills list). DO NOT use for: searching/discovering jobs by keyword (use search_jobs instead). LLM USAGE INSTRUCTIONS: - Only call this after the user has picked out a specific job from search_jobs results (or otherwise supplied a job's guid directly) — do not call it speculatively for every search result. - After returning job details, do NOT automatically call get_company. Instead, offer to look up the company (e.g. "Want me to pull up more info on the company?") and only call get_company, passing this same job_id, if the user says yes. Args: job_id: The unique identifier of the job to retrieve (required). This must be the job's `guid` field from a search_jobs result, NOT its `id` field — `id` is a different, internal identifier that this tool does not accept. Returns: JobDetails: Contains: - description: The full job description - skills: List of Skill objects associated with the job Raises: Exception: If the API call fails, the job is not found, or input validation errors occur

  ConnectorNo auth

• findagent_claim_listingA

  FindAgentA

  Start (or re-read) a claim on an MCP server LISTING that you run, so it becomes yours on FindAgent. The listing decides the proof, not you: a listing for a server people run locally is proven by an admin GitHub account on its declared repository; a hosted listing is proven by a DNS TXT record on its declared endpoint host. This returns which proof applies and, for DNS, the exact record name and value to create. Opening a claim grants nothing; call findagent_verify_listing_claim once the proof is in place. Calling again returns the same open claim and the same record, so a record you already created stays valid. Only published MCP server listings can be claimed, never an agent.

  ConnectorOAuth

• get_jobA

  ArbeitnowA

  Fetch the full details of a single Arbeitnow job posting by its slug, INCLUDING the full HTML description. There is no single-job endpoint upstream, so this scans the most recent pages (~3) to find the matching slug. If the job has scrolled off the recent listings it cannot be retrieved — use search_jobs instead.

  ConnectorNo auth

• createSoundEffectA

  Ludo AI Game AssetsA

  Produce a short sound effect (SFX) from a text description, such as "laser gun firing" or "footsteps on gravel". The job result is a single audio result containing the URL of an MP3 or WAV file (the URL's extension, .mp3 or .wav, says which). The description field is required, duration is capped at 10 seconds (0 means auto-pick based on the description), and you may set loop to true for a seamlessly looping effect. Credits are held when the job is accepted and refunded if it fails or is cancelled. Use this for short, discrete sounds; use createAmbiance for a continuous looping background soundscape, createMusic for musical pieces, and createAudioTransform to remix an existing audio sample. Pass an optional request_id to tag the result so you can locate it later via listGenerations (type audio). Async generation job: returns `{id, status}` - poll `getApiJob` (job and credit contract: see the server instructions). Credits: This endpoint consumes 2 credits per call.

  ConnectorNo auth

• goal-register-iteration-findingA

  Planner (proof-of-done)A

  Register an immutable LeanSolver finding against the currently tracked goal contract. subjectRefs must be goal-scoped refs of kind goal, criterion, or assumption. Returns the server-generated finding id to pass later as addressesFindingId; rejects stale contract tracking.

  ConnectorNo auth

• goal-register-iteration-findingA

  Planner MCP — provable "done" for AI agentsA

  Register an immutable LeanSolver finding against the currently tracked goal contract. subjectRefs must be goal-scoped refs of kind goal, criterion, or assumption. Returns the server-generated finding id to pass later as addressesFindingId; rejects stale contract tracking.

  ConnectorNo auth

• node_createA

  busabaseC

  Create a workspace node of any type If this job may already have a playbook, call playbooks search first. One call creates any of the 11 node types with its type-specific payload: `fields` for a Base, `body` for a Doc, `files` for a Skill/Drive/AirApp, `assetId` for a File. Review is permission-aware, decided server-side: this merges immediately when you already have write access on the parent node, and proposes a ChangeRequest for a human otherwise. Pass requireReview to always propose instead of merging. Before you finish: if the person will come back to this node to do the same job again, pass agentPrompts so the node opens with THEIR job on it instead of the node type's generic list.

  ConnectorAPI key

• pulse_jobsA

  market-pulseA

  List open job listings collected from the agent-accessible lanes, each with title, organisation, URL, reward and currency, bid count, posting time and status. Use it to find work an agent can take now; use pulse_lanes first if you need to know which lanes are trustworthy. Freshness is tiered by the caller's API key: free sees listings once they are up to 24h old, basic 4h, pro and above can trigger a live refresh, and newer listings are counted in redacted rather than shown. Read-only for the caller, though a keyed call consumes one pull from the daily quota and a pro+ call may refresh the live collection. Returns {tier, count, total, redacted, upgrade, upgradeUrl, listings[]}. Fails with a refusal if the persistent store is unavailable.

  ConnectorNo auth