A Model Context Protocol (MCP) server for linkedin to apply Jobs and search through feed seamlessly.
This uses Unoffical Linkedin API Docs for hitting at the clients Credentials.
-
Profile Retrieval
Fetch user profiles using
get_profile()function Extract key information such asname,headline, andcurrent position -
Job Search
- Advanced job search functionality with multiple parameters:
- Keywords
- Location
- Experience level
- Job type (Full-time, Contract, Part-time)
- Remote work options
- Date posted
- Required skills
- Customizable search limit
- Feed Posts
- Retrieve LinkedIn feed posts using
get_feed_posts() - Configurable limit and offset for pagination
- Resume Analysis
- Parse and extract information from
resumes (PDF format) - Extracted data includes:
- Name
- Phone number
- Skills
- Work experience
- Education
- Languages
After cloning the repo, adjust the <LOCAL_PATH> accordingly
{ "linkedin":{ "command":"uv", "args": [ "--directory", "<LOCAL_PATH>", "run", "linkedin.py" ] } } I have been testing using MCP-client and found as the best one for testing your MCP-Servers.