linkedin-mcp
Fetch user profiles, search for jobs, and retrieve feed posts from LinkedIn. Analyze resumes to extract key information and streamline profile management and job search processes.
Author

Hritik003
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MCP Server for LinkedIn
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.
Features
-
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
Configuration
After cloning the repo, adjust the <LOCAL_PATH> accordingly
{
"linkedin":{
"command":"uv",
"args": [
"--directory",
"<LOCAL_PATH>",
"run",
"linkedin.py"
]
}
}
Usage
I have been testing using MCP-client and found as the best one for testing your MCP-Servers.
