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by stickerdaniel • Analytics & Monitoring
A local MCP server that lets AI assistants (e.g., Claude) access LinkedIn data — profiles, companies, jobs and recommendations — via a Docker/uvx/local service using your LinkedIn cookie.
Retrieve detailed LinkedIn person profiles (work history, education, skills, connections) for candidate research or background checks.
Fetch company profiles and analyze organizations for partnership or sales outreach.
Search jobs, retrieve job posting details, and obtain personalized recommended jobs to help with job matching or CV tailoring.
This project exposes LinkedIn scraping tools over the MCP protocol so agents can fetch person profiles, company profiles, job details, search jobs, and get personalized recommended jobs. It can run in Docker, via uvx, as a Claude Desktop DXT extension, or locally for development and supports streamable HTTP or stdio transports. The server requires a valid LinkedIn session cookie (li_at) and includes session management and optional cookie-extraction helpers. Use is subject to LinkedIn's Terms of Service and the README warns that web scraping may violate those terms.
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