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).
@Rayyan9477
基本情報
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.
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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).
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.
You must provide `LINKEDIN_USERNAME` and `LINKEDIN_PASSWORD`. An `ANTHROPIC_API_KEY` is optional and enables AI features (profile analysis, resume/cover letter generation).
No. Core LinkedIn features (job search, profiles, companies) work without an Anthropic API key. AI only enhances document generation and profile analysis.
HTML, Markdown, and PDF (via WeasyPrint). Specify the `output_format` parameter when generating resumes or cover letters.
Python 3.11+ is required. The server is released under the MIT License.
Application tracking is stored locally in a JSON file under `DATA_DIR` (defaults to `~/.linkedin_mcp/data`).
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