A Model Context Protocol (MCP) server for linkedin to apply Jobs and search
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 positionJob 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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Tools (4)
get_profileFetch user profiles and extract key information such as name, headline, and current position.search_jobsAdvanced job search functionality with multiple parameters like location, experience level, and job type.get_feed_postsRetrieve LinkedIn feed posts with configurable limit and offset for pagination.parse_resumeParse and extract information from PDF resumes including contact details, skills, and experience.Environment Variables
LINKEDIN_CREDENTIALSrequiredCredentials required for accessing the LinkedIn API.Configuration
{"linkedin":{"command":"uv","args":["--directory","<LOCAL_PATH>","run","linkedin.py"]}}