Retrieve structured details from any Indeed job posting by URL. Extract title, company, location, salary, type, description, and requirements for ATS enrichment, compensation benchmarking, or resume-to-JD matching.
MIT
131,191 tools. Last updated 2026-05-08 00:39
"A tool for semantically searching job postings on LinkedIn and Indeed" matching MCP tools:
- Retrieve Indeed job listings by keyword and location with sort and pagination. Outputs job details for hiring trends and recruitment pipelines.MIT
- Fetch detailed Glassdoor job postings by URL for ATS integration, job aggregation, compensation benchmarking, and LLM-powered resume tailoring.MIT
- Retrieve all published job postings for a specific job position in Greenhouse ATS to manage recruitment content and track posting status.MIT
- Generate tracking links for job postings to monitor candidate sources and referral data in Greenhouse ATS.MIT
- Retrieve comprehensive details about LinkedIn job postings using job IDs, including descriptions, requirements, and company information.MIT
Matching MCP Servers
- Alicense-qualityBmaintenanceJobPilot is a next-generation career assistant powered by AI Agents and the Model Context Protocol (MCP). It acts as your personal recruiter, tirelessly searching for jobs on platforms like LinkedIn, optimizing your resume for specific job descriptions (JD), and even automating the application process. Designed for the age of AI, JobPilot exposes a full MCP server, allowing you to connect it withLast updated2MIT
- AlicenseAqualityBmaintenanceEnables AI assistants to interact with LinkedIn by scraping profiles, companies, job postings, and getting personalized job recommendations using authenticated browser automation.Last updated131,786
Matching MCP Connectors
linkedin-humblebrag MCP — wraps StupidAPIs (requires X-API-Key)
LinkedIn API as MCP tools to retrieve profile data and publish content. Powered by HAPI MCP.
- 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
- Find LinkedIn job postings by filtering keywords, location, job type, experience level, remote options, and posting date to match specific career opportunities.MIT
- Search LinkedIn job listings using advanced filters for keyword, location, salary, experience level, job type, and remote preference. Returns results with position title, company, location, salary information, and application links.MIT
- Retrieve new job IDs from a specified LinkedIn URL by exploring a defined number of pages. Extracts and returns a list of job IDs for further analysis or tracking.MIT
- Import job postings from URLs like LinkedIn or Greenhouse to track applications and optionally trigger auto-apply functionality.MIT
- Retrieve comprehensive details for a specific LinkedIn job posting using its unique job ID.
- Find relevant code snippets in your project using natural language queries. This tool automatically indexes your codebase and returns semantically related results with file paths and line numbers.ISC
- Retrieve detailed information about LinkedIn job postings using job IDs to access structured data for analysis or integration.MIT
- Bookmark a LinkedIn job listing using its job ID for later review and application.MIT
- Search Turkish government announcements and advertisements on ilan.gov.tr for tenders, job postings, real estate sales, legal notices, and official notifications.MIT
- Search LinkedIn job listings by title, location, or company to find relevant employment opportunities with detailed results.MIT
- Extract comprehensive details from LinkedIn job postings including description, requirements, salary information, and application links to streamline job research and application processes.MIT
- Extract required and preferred skills from LinkedIn job postings to help applicants match qualifications and improve job search targeting.MIT