LinkedIn Model Context Protocol (MCP) Server

@Rayyan9477

About LinkedIn Model Context Protocol (MCP) Server

A powerful Model Context Protocol server for LinkedIn interactions that enables AI assistants to search for jobs, generate resumes and cover letters, and manage job applications programmatically.

#machine-learning #mcp #linkedin #artificial-intelligence #linkedin-api #llm #mcp-server

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Overview

What is LinkedIn MCP Server?

A Model Context Protocol server that gives AI assistants full access to LinkedIn via 13 tools: search jobs, view profiles and companies, generate AI-powered resumes and cover letters, and track applications. Built with the official MCP Python SDK (FastMCP).

How to use LinkedIn MCP Server?

Install via pip install -e . (add [ai], [pdf], or [all] for optional features). Configure a .env file with LINKEDIN_USERNAME and LINKEDIN_PASSWORD (required) and ANTHROPIC_API_KEY (optional for AI features). Run standalone with linkedin-mcp or add to Claude Desktop/Code MCP config. Ask your AI assistant to invoke any of the 13 tools.

Key features of LinkedIn MCP Server

Search jobs with filters (keyword, location, type, experience, remote, recency)
Fetch any LinkedIn profile or company page
AI-powered profile analysis with optimization suggestions
Generate resumes and cover letters from profiles (3 resume, 2 cover letter templates)
Export documents as HTML, Markdown, or PDF (via WeasyPrint)
Track applications locally with a status workflow (interested → applied → interviewing → offered/rejected/withdrawn)

Use cases of LinkedIn MCP Server

Search for remote Python developer jobs and get detailed descriptions
Generate a resume tailored to a specific job posting
Analyze your LinkedIn profile and receive actionable improvement suggestions
Create a personalized cover letter for a job application
Track all your job applications and update their status through the pipeline

FAQ from LinkedIn MCP Server

What credentials are required?

You must provide LINKEDIN_USERNAME and LINKEDIN_PASSWORD. An ANTHROPIC_API_KEY is optional and enables AI features (profile analysis, resume/cover letter generation).

Is AI required to use the server?

No. Core LinkedIn features (job search, profiles, companies) work without an Anthropic API key. AI only enhances document generation and profile analysis.

What output formats are supported for documents?

HTML, Markdown, and PDF (via WeasyPrint). Specify the output_format parameter when generating resumes or cover letters.

What Python version and license apply?

Python 3.11+ is required. The server is released under the MIT License.

Where does tracked application data live?

Application tracking is stored locally in a JSON file under DATA_DIR (defaults to ~/.linkedin_mcp/data).

Frequently asked questions

What credentials are required?

You must provide `LINKEDIN_USERNAME` and `LINKEDIN_PASSWORD`. An `ANTHROPIC_API_KEY` is optional and enables AI features (profile analysis, resume/cover letter generation).

Is AI required to use the server?

No. Core LinkedIn features (job search, profiles, companies) work without an Anthropic API key. AI only enhances document generation and profile analysis.

What output formats are supported for documents?

HTML, Markdown, and PDF (via WeasyPrint). Specify the `output_format` parameter when generating resumes or cover letters.

What Python version and license apply?

Python 3.11+ is required. The server is released under the MIT License.

Where does tracked application data live?

Application tracking is stored locally in a JSON file under `DATA_DIR` (defaults to `~/.linkedin_mcp/data`).

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