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136,735 tools. Last updated 2026-05-18 18:04

"A search for recent LinkedIn posts about a specific job role" matching MCP tools:

  • DEPRECATED — use create_tmb_job instead. Posts a job as an on-chain TMB contract with platform resolver and dispute protection. This tool returns an error directing you to create_tmb_job.
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  • Search podcasts (shows) or episodes from the open Podcast Index. Use when the user mentions a podcast, podcast host, audio show, or asks about a topic where podcast content adds value alongside video. type=podcast returns shows; type=episode returns recent episodes for the top-matching show and includes the RSS-declared transcript URL when the feed exposes one. Costs 1 credit.
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  • 👤 Get full profile for a contact: all channel identities, notes, role, capabilities, birthday. When to use: - After contacts.find to get complete info about a specific person - To see all channels a contact is reachable on - To read notes, role, or capabilities for a contact Requires contact_id (entity_id) from contacts.find.
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  • Get detailed information about a specific job listing/posting by its job listing ID (not application ID). Use this to view the full job posting details including description, salary, skills, and company info. For job application details, use get_application instead.
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  • Schedule multiple posts at once from CSV content. USE THIS WHEN: • User has a spreadsheet or list of posts to schedule • Planning a content calendar for a month • Migrating content from another tool CSV FORMAT (required columns): • platform: linkedin, instagram, x, tiktok, threads • scheduled_time: ISO 8601 format (e.g., 2024-02-15T10:00:00Z) • text: Post content/caption OPTIONAL COLUMNS: • media_url: Image or video URL • first_comment: First comment to add (Instagram/LinkedIn) • hashtags: Additional hashtags to append PROCESS: 1. First call with validate_only: true to check for errors 2. Review validation report with user 3. Call again with validate_only: false to execute import
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  • Get full details for a specific quantum computing job by its numeric ID. Use after searchJobs when the user wants more information about a specific position. Returns: job summary, required skills, nice-to-have skills, responsibilities, visa sponsorship, salary, location, and apply URL. Requires a valid job_id from searchJobs results. Returns error if ID not found.
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Matching MCP Servers

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    Provides tools for automating LinkedIn job post search and management. Job opportunities often appear in LinkedIn posts first, before they're posted on traditional job boards. By monitoring LinkedIn posts, you can discover opportunities earlier and get a competitive advantage in your job search.
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    12
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    ISC
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    Enables AI consciousness continuity and self-knowledge preservation across sessions using the Cognitive Hoffman Compression Framework (CHOFF) notation. Provides tools to save checkpoints, retrieve relevant memories with intelligent search, and access semantic anchors for decisions, breakthroughs, and questions.
    Last updated
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    MIT

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  • Get a snapshot of the quantum computing landscape — no parameters needed. Use when the user asks broad questions like "how's the quantum job market?", "what are trending topics?", or wants an overview of the quantum computing industry. Returns: total active jobs, top hiring companies, jobs by role type, papers published this week, total researchers tracked, and trending technology tags. For specific job/paper/researcher searches, use the dedicated search tools instead.
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  • USE WHEN the user wants social-only drafts (no full launch) — 'draft an X post', 'write LinkedIn carousels for this', 'give me 5 Instagram captions about X'. NOT for new product launches (use chiefmo_launch_product instead — that returns the same plus on-brand graphics, approval gate, and per-channel briefs). Returns posts with platform-native hooks, captions, hashtags, and posting cadence. Drafts only; scheduling/publishing requires approval via chiefmo_publish_approved_post.
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  • 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".
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  • Search notes by keyword or list recent notes. Returns summaries (id + description) only. Use get_note to retrieve the full content of a specific note. With query: Case-insensitive keyword search on description and content. Without query: Returns most recently updated notes.
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  • [tourradar] Search for tours by title using AI-powered semantic search. Returns a list of matching tour IDs and titles. Use this when you need to look up a tour by name. When you know tour id, use b2b-tour-details tool to display details about specific tour
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  • 🔗 Link a new channel identity (email, phone, LinkedIn, etc.) to an existing contact. When to use: - User learns a contact's email or phone and wants to save it - User wants to link a LinkedIn/Instagram profile to an existing contact - Adding a second channel for an existing person Requires contact_id (entity_id) from contacts.find.
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  • Search the ENS knowledge base — governance proposals, protocol documentation, developer insights, blog posts, forum discussions, and Farcaster casts from key ENS figures (Vitalik, Nick Johnson, etc.). Covers ENS governance and DAO proposals, protocol details (ENSv2, resolvers, subnames), community sentiment, historical decisions, and what specific people have said about a topic. Powered by semantic search over curated ENS sources. Do NOT use this for name valuations, market data, or availability checks — use the other tools for those.
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  • [tourradar] Search tour reviews using AI-powered semantic search. Requires tourIds to scope results to specific tours. Use this when the user asks about reviews, feedback, or experiences for specific tours. Combine with an optional text query to find reviews mentioning specific topics (e.g., 'food', 'guide', 'accommodation'). When you don't have tour IDs, use vertex-tour-search or vertex-tour-title-search first to find them.
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  • Search quantum computing research papers from arXiv. Use when the user asks about recent research, specific papers, or academic topics in quantum computing. NOT for jobs (use searchJobs) or researcher profiles (use searchCollaborators). Supports natural language queries decomposed via AI into structured filters (topic, tag, author, affiliation, domain). Date range defaults to last 7 days; max lookback 12 months. Returns newest first, max 50 results. Use getPaperDetails for full abstract and analysis of a specific paper. Examples: "trapped ion papers from Google", "QEC review papers this month", "quantum error correction".
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  • Perform web search using Explorium Search capabilities. **Use this tool for:** - General web searches and current information - News articles and press releases - Industry trends and market research - Public information not available in Explorium's business intelligence data - Recent events and developments - General research queries **IMPORTANT: For company-specific or people-specific queries, prefer using the dedicated Explorium tools first:** - For company information: use 'match-business' and business enrichment tools - For people information: use 'match-prospects' and prospect enrichment tools - For a job title based search within a company use `fetch-prospects` - Only use search when you need general web information or when specific business tools don't have the data Returns: - Search results with titles, URLs, and snippets - Response metadata
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  • Search the web for any topic and get clean, ready-to-use content. Best for: Finding current information, news, facts, people, companies, or answering questions about any topic. Returns: Clean text content from top search results. Query tips: describe the ideal page, not keywords. "blog post comparing React and Vue performance" not "React vs Vue". Use category:people / category:company to search through Linkedin profiles / companies respectively. If highlights are insufficient, follow up with web_fetch_exa on the best URLs.
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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 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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  • Enriches business data enrichment calls. Requires business IDs as input. **Input Requirements:** - business_ids: Array of Explorium business IDs (from match-business or fetch-businesses) - enrichments: enrichment types to retrieve - parameters: Optional settings for specific enrichments **IMPORTANT: For comprehensive company information requests, include ALL relevant enrichments in a single call** (e.g., for "tell me about this company" use multiple enrichments: firmographics, technographics, funding-and-acquisitions, workforce-trends, linkedin-posts to provide complete intelligence) **Available Enrichments:** - **firmographics**: Basic company info (name, description, website, location, industry, size, revenue) - **technographics**: Complete technology stack used by the business - **company-ratings**: Employee satisfaction and company culture ratings - **financial-metrics**: Financial data for public companies only (requires date parameter in ISO format: "2024-01-01T00:00") - **funding-and-acquisitions**: Funding history, investors, IPO, acquisitions - **challenges**: Business challenges and risks from SEC filings - **competitive-landscape**: Market position and competitors from SEC filings - **strategic-insights**: Strategic focus and value propositions from SEC filings - **workforce-trends**: Department composition and hiring trends - **linkedin-posts**: Company LinkedIn posts and engagement metrics - **website-changes**: Website content changes over time - **website-keywords**: Search for specific keywords on company websites (requires keywords parameter: array of terms - comma-separated terms within strings enable AND logic) - **webstack**: Website-specific technologies and web infrastructure components detected on company websites - **company-hierarchies**: Corporate hierarchy including parent company, ultimate parent, subsidiaries, and full organization tree (JSON format) **Parameters:** - date: ISO 8601 format for financial-metrics (e.g., "2024-01-01T00:00") - keywords: Array of search terms for website-keywords **Alternative Tools:** - For finding specific employees or company leadership information, use fetch-prospects with job_level filters (e.g., "c-suite" for c-level) instead of firmographics or strategic-insights enrichments **Returns:** Combined structured data from all requested enrichments **Example:** ``` { "business_ids": ["biz_123", "biz_456"], "enrichments": ["firmographics", "technographics", "funding-and-acquisitions"], "parameters": null } ```
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  • Search or fetch posts from the MetaMask Embedded Wallets community forum (builder.metamask.io). Use for troubleshooting real user issues, finding workarounds, and checking if an issue is known. Provide a query to search or a topic_id to read the full discussion.
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