MCP Server
LinkedIn MCP Server
A Model Context Protocol server that enables seamless interaction with LinkedIn for job applications, profile retrieval, feed browsing, and resume analysis through natural language commands.
21
GitHub Stars
8/22/2025
Last Updated
No Configuration
Please check the documentation below.
README Documentation
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
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.
Quick Actions
Key Features
Model Context Protocol
Secure Communication
Real-time Updates
Open Source