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749,522 tools. Updated 2026-11-06 01:54

"A service for finding job opportunities on LinkedIn" matching MCP tools:

  • Find job listings aggregated from Google for Jobs (LinkedIn, Indeed, Glassdoor) and access job details and estimated salaries.
    MIT
  • Search LinkedIn or Indeed for job postings by keyword, location, and filters. Identify hiring signals by discovering which companies are recruiting and for what roles.
    MIT
  • Run SAS programs asynchronously by submitting code to the Job Execution service for later retrieval of logs and output.
    Apache 2.0
    Destructive
  • Extract structured job details—company, requirements, responsibilities—from a job posting URL. Use it to parse LinkedIn, Greenhouse, Lever, Ashby, or Wuzzuf listings into actionable data.
    AGPL 3.0
  • Remove a job from the saved list on LinkedIn using a user-confirmed actionId. Changes LinkedIn state only after explicit terminal confirmation.
    MIT
  • Open a known provider's API page (stripe, hubspot, slack, shopify, mailchimp, pipedrive, calendly, google, linkedin) and get instructions for finding or creating its API credentials there.
    MIT

Matching MCP Servers

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    license
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    Enables AI agents to search and retrieve opportunities from the Opportunities Circle catalog, including scholarships, fellowships, internships, grants, jobs, and more. Supports filtering by type, country, funding, and tags, with full details and official apply links.
    6
    MIT

Matching MCP Connectors

  • LinkedIn: The LinkedIn Data API offers access to detailed information on individuals, companies.

  • LinkedIn data for AI agents: search, profiles, companies, posts. Free key, self-minted, no signup.

  • Dismiss a LinkedIn job from search results so future searches exclude it, useful for applied or rejected roles. Reload confirms removal; the action is irreversible.
    Apache 2.0
    Destructive
  • Generate an encoded URL for job searches on LinkedIn, compatible with the platform's API. Input specific job queries to retrieve tailored search links for efficient job hunting.
    MIT
  • Retrieve structured job posting details from LinkedIn using a job ID, including title, company, location, posting date, application count, and description.
    Apache 2.0
  • Retrieve detailed information about a LinkedIn job posting, including title, company, location, posting date, and application count by providing the job ID.
    MIT
  • Retrieve comprehensive details for a LinkedIn job listing using its job ID, such as full description, requirements, and company information.
    MIT
  • Retrieve job postings you've saved on LinkedIn. Returns job IDs that can be used with get_job_details to access full information.
    Apache 2.0
  • Retrieve a LinkedIn job posting's full description and metadata, mark it as viewed locally, and obtain tracking info for CV comparison.
    MIT