An MCP server that gives AI assistants full access to LinkedIn — search jobs, view profiles and companies, generate AI-powered resumes and cover letters, and track applications. Built with the…
LinkedIn Model Context Protocol (MCP) Server is an MCP project maintained in the rayyan9477/linkedin_mcp repository. The maintainer describes its purpose as “An MCP server that gives AI assistants full access to LinkedIn — search jobs, view profiles and companies, generate AI-powered resumes and cover letters, and…”. Read the project documentation for the complete scope.
The project provides a local client configuration using linkedin-mcp. Follow the repository’s build and installation steps before copying it, and replace example paths with the paths on your own computer.
Project documentation · Repository · Discovery listing. This profile records the public documentation checked on 2026-10-08.
Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| search_jobs | keywords, location, job_type, experience_level, remote, date_posted, page, count |
| get_job_details | job_id |
| get_recommended_jobs | count |
| get_profile | profile_id |
| get_company | company_id |
| analyze_profile | profile_id |
| generate_resume | profile_id, template, output_format |
| tailor_resume | profile_id, job_id, template, output_format |
| generate_cover_letter | profile_id, job_id, template, output_format |
| list_templates | template_type |
| track_application | job_id, job_title, company, status, notes, url |
| list_applications | status |
| update_application_status | job_id, status, notes |
{
"mcpServers": {
"linkedin": {
"command": "linkedin-mcp"
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
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