LinkedIn MCP Server
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
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
Email
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.
Tool Schema Changelog
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This server cannot be deployed
Maintenance
Related MCP Connectors
LinkedIn jobs, companies and people for AI agents, plus messages and invites via your own account.
LinkedIn for AI agents: search people, read profiles, posts and connections via a connected account
LinkedIn for AI agents: inbox, invitations, Sales Navigator search, posts, jobs, quotas, webhooks.
Manage LinkedIn messages, connections, posts, and profile data through Linked API.
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