Summary
This MCP server for LinkedIn, developed by Hritik Raj, enables AI agents to interact with LinkedIn's platform for job applications and feed searching. Built using Python and leveraging the unofficial LinkedIn API, it provides tools for profile retrieval, advanced job searching, feed post retrieval, and resume analysis. The implementation focuses on simplifying LinkedIn interactions, offering functionality to extract key profile information, perform customizable job searches, and parse resumes in PDF format. It's particularly useful for applications requiring automated LinkedIn engagement, enabling use cases such as job matching, content curation, and candidate screening without directly dealing with LinkedIn's API complexities.
Available Actions(4)
get_profile
Fetch user profiles and extract key information such as name, headline, and current position.
job_search
Perform an advanced job search with multiple parameters including keywords, location, experience level, job type, remote work options, date posted, and required skills, with a customizable search limit.
get_feed_posts
Retrieve LinkedIn feed posts with configurable limit and offset for pagination.
resume_analysis
Parse and extract information from resumes in PDF format, including name, email, phone number, skills, work experience, education, and languages.
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