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).
LinkedIn MCP Server
@Rayyan9477
Basic information
About LinkedIn 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.
LinkedIn MCP Server config
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryLinkedIn MCP Server tools
Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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- Track applications locally with a status workflow (interested → applied → interviewing → offered/rejected/withdrawn)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
Frequently asked questions
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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