"JobSpy job search tool or library" matching MCP tools:

• searchA

  JobYap Job SearchA

  Search JobYap job postings by natural-language query. Matches job titles, falling back to significant keywords when the full phrase finds little. Returns result ids, titles and citable URLs for use with fetch. For structured filtering (location, company, remote, freshness) prefer search_jobs.

  ConnectorNo auth

• search_target_group_criteriaA

  Metadata MCP ConnectorA

  Get available criteria and their supported values (names and IDs) for target group creation/updates. USE FOR: "what targeting criteria are available?", "what options for [criteria type]?", "supported values for industries/seniority/job functions", "how to search job titles/interests/member groups?", validate criteria before creating target group, get valid IDs for create_target_group. CRITERIA TYPES: 1. LIST-BASED (returns predefined options): - age-ranges: Age range options - company-categories: Company classifications - company-growth-rates: Growth rate ranges - revenues: Revenue ranges - employees: Employee count ranges - industry-taxonomy: Industry codes/names - jobFunctions: Job function categories - seniority: Seniority levels - followed-companies: Company follow options - locations: Geographic data (MANDATORY as FIRST criteria for LinkedIn) - use search_terms for filtering 2. SEARCH-BASED (use search_terms): - job-title: Search job titles (reference_type: LINKEDIN_JOB_TITLES) - member-groups: Search LinkedIn groups (reference_type: LINKEDIN_MEMBER_GROUPS) - member-skills: Search professional skills - interests: Search interests (reference_type: LINKEDIN_INTERESTS) - traits: Search behaviors (reference_type: LINKEDIN_TRAITS) 3. NUMERIC: years-of-experience (0-12, not retrieved via this tool) OPERATION MODES: - List: search_target_group_criteria(channel="LINKEDIN", criteria_type="seniority") - Search: search_target_group_criteria(channel="LINKEDIN", criteria_type="job-title", search_terms=["engineer"], exact_match=false) - Direct: search_target_group_criteria(channel="LINKEDIN", reference_type="LINKEDIN_JOB_TITLES", search_terms=["engineer"]) RESPONSE: Array of {externalId, name}. Use externalId in target group config, show name to users. CHANNEL: Only LINKEDIN supported.

  ConnectorAPI key

• perspective_await_jobA

  Perspective AIA

  Long-polls an async job and returns either its terminal result or another "pending" envelope to keep polling. Supported jobs (started by these tools): - Perspective design — perspective_create / perspective_respond / perspective_update - Conversations explorer — conversations_explorer - Conversation import — perspective_import_conversation Behavior: - Read-only — observes a running job. Safe to call repeatedly. - Errors with "Unknown job_id" if no such job exists, or if the id is not a supported job kind. Workspace and perspective access are re-checked on every call. - Each call blocks up to wait_ms (default 30s, min 1s, max 45s). On timeout, returns status "pending" with a progress_cursor — pass it back on the next call to skip already-seen progress events. - Terminal status: - "ready" = job finished successfully (design: outline ready; explorer: answer + sources; import: conversation_id — discriminate via job_kind) - "needs_input" = design-only follow-up question - Failures are logged with the underlying workflow detail but surfaced as a generic "The job failed. Please try again." to avoid leaking internals. When to use this tool: - Immediately after a start tool returns a job_id. - Re-polling after a previous call returned status "pending" (pass the returned progress_cursor back). When NOT to use this tool: - You don't have a job_id yet — call the start tool first. - Inspecting a finished perspective's config — use perspective_get.

  ConnectorOAuth

• check_jobA

  ai-netcafeA

  Get the status or result of a job started by deep_research, translate_pdf, or make_slides. Poll every 15-30 seconds until status is "done" or "error". While work is pending, follow retry_after_seconds and next_action; when complete, prefer structured_result when present. Example — GET https://ainetcafe.com/t/check_job?job_id=<id-from-a-job-tool>

  ConnectorNo auth

• check_jobA

  AI NetCaféA

  Get the status or result of a job started by deep_research, translate_pdf, or make_slides. Poll every 15-30 seconds until status is "done" or "error". While work is pending, follow retry_after_seconds and next_action; when complete, prefer structured_result when present. Example — GET https://ainetcafe.com/t/check_job?job_id=<id-from-a-job-tool>

  ConnectorNo auth

• check_jobA

  netcafe-buildA

  Get the status or result of a job started by deep_research, translate_pdf, or make_slides. Poll every 15-30 seconds until status is "done" or "error". While work is pending, follow retry_after_seconds and next_action; when complete, prefer structured_result when present. Example — GET https://ainetcafe.com/t/check_job?job_id=<id-from-a-job-tool>

  ConnectorNo auth

• wait_for_jobA

  qencodeA

  Deprecated: does not wait. Use `list_jobs` to watch a job. Hosts abort long tool calls (~60s), so this tool cannot poll an encode. Call `list_jobs` with this `task_token` — the jobs card refreshes itself while the job is in flight. For one snapshot use `get_job_status`. For output artefacts after the job finishes use `get_job_status_detailed`. Do not loop status yourself and do not resubmit. `timeout_seconds` and `poll_interval` are ignored; they remain so old clients can still call this tool without a schema error.

  ConnectorOAuth

• check_jobA

  netcafe-docsA

  Get the status or result of a job started by deep_research, translate_pdf, or make_slides. Poll every 15-30 seconds until status is "done" or "error". While work is pending, follow retry_after_seconds and next_action; when complete, prefer structured_result when present. Example — GET https://ainetcafe.com/t/check_job?job_id=<id-from-a-job-tool>

  ConnectorNo auth

• check_jobA

  netcafe-translateA

  Get the status or result of a job started by deep_research, translate_pdf, or make_slides. Poll every 15-30 seconds until status is "done" or "error". While work is pending, follow retry_after_seconds and next_action; when complete, prefer structured_result when present. Example — GET https://ainetcafe.com/t/check_job?job_id=<id-from-a-job-tool>

  ConnectorNo auth

• check_jobA

  netcafe-imagesA

  Get the status or result of a job started by deep_research, translate_pdf, or make_slides. Poll every 15-30 seconds until status is "done" or "error". While work is pending, follow retry_after_seconds and next_action; when complete, prefer structured_result when present. Example — GET https://ainetcafe.com/t/check_job?job_id=<id-from-a-job-tool>

  ConnectorNo auth

• 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

• search_jobsA

  Roleset — job postings indexA

  Search the index of open job postings. Use for a one-off question about the job market: who is hiring for a role, what is open in a city or country, which companies have remote positions. Returns a page of job records plus a `meta.next_cursor` to continue; each record has title, company, structured locations, remote flag, employment type, salary when the board publishes one, and an apply URL. Descriptions are omitted unless `include_description` is set, because they are large. To find what has *changed* since you last looked, use job_changes instead — do not poll this tool in a loop.

  ConnectorNo auth

• check_apply_supportA

  Resume Booster Job BoardA

  Whether the apply agent can submit an application for this job on the user's behalf, and what that requires. Jobs on non-supported systems still return their direct applyUrl for the human to use. For whether THIS KEY may apply at all, call key_status — this tool answers about the job, not the key. Needs a key or a sign-in.

  ConnectorNo auth

• library_lookupA

  aziel-runtimeA

  Search the public Aziel Digital Library (aziel-corpus search / example / skill) — cites, not beliefs and not vault stamps. Use this when you need a public corpus cite, example record, or library skill. Do not use it for adaptive memory belief, ChainLock facts, or private-file search; use memory_recall, chainlock_recall, or fraggate_call slug=aziel-corpus instead. Not a private-file search engine and not AKM/ChainLock. Empty q does not invent a cite. Unknown ops refuse FG-UNKNOWN-OP (allowed: search, example, skill, health). Named corpus wrapper — not MASTER-33; full aziel-corpus LIVE_OPS stay on fraggate_call. q is public corpus text — not memory_recall q and not ChainLock q. Omit op to search. Extra keys besides q/op/payload ride along as aziel-corpus payload (same as passing payload{}). Returns search, example, skill, or health payload inside the display envelope.

  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

• 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_iconsA

  SupericonsA

  Use this as the main icon tool. Search 20,000+ curated SVG icons across 11 libraries by meaning, label, visual description, tags, and synonyms. When matches exist, the response includes a paste-ready suggested answer, a direct preview image, and Markdown that can show the image in the final reply. When no supported match exists, it returns an honest structured no-result with a next step and no fabricated icon. If you choose a library yourself, use prefer. Use strict only when the user explicitly requires that library. Library key si means Supericons, not Simple Icons.

  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

• view-hmr-unit-testsA

  hmrA

  The unit tests (code examples) for HMR. Always call `learn-hmr-basics` and `view-hmr-core-sources` to learn the core functionality before calling this tool. These files are the unit tests for the HMR library, which demonstrate the best practices and common coding patterns of using the library. You should use this tool when you need to write some code using the HMR library (maybe for reactive programming or implementing some integration). The response is identical to the MCP resource with the same name. Only use it once and prefer this tool to that resource if you can choose.

  ConnectorNo auth

• search_iconsA

  SupericonsA

  Use this as the main icon tool. Search 20,000+ curated SVG icons across 11 libraries by meaning, label, visual description, tags, and synonyms. When matches exist, the response includes a paste-ready suggested answer, a direct preview image, and Markdown that can show the image in the final reply. When no supported match exists, it returns an honest structured no-result with a next step and no fabricated icon. If you choose a library yourself, use prefer. Use strict only when the user explicitly requires that library. Library key si means Supericons, not Simple Icons.

  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