LinkedIn MCP Server is an MCP server that connects AI assistants like Claude to LinkedIn through a user's authenticated browser session.
The tool solves the problem of giving AI agents access to LinkedIn data and functionality without requiring direct API credentials. It works by leveraging your existing logged-in browser session to perform actions locally on your machine. This approach allows the server to access profiles, companies, jobs, and messages while keeping authentication and data handling within your control rather than relying on LinkedIn's official API.
The project suits developers who want to integrate LinkedIn capabilities into Claude or other MCP-compatible AI agents for tasks like profile lookups, company research, job searching, and inbox management. Since all browser actions run locally, it appeals to users prioritizing privacy and avoiding the complexity of LinkedIn's official API authentication. The tool is particularly useful for those already using Claude Desktop or other MCP clients who need programmatic LinkedIn access without building custom integrations from scratch.
The project maintains active continuous integration and release automation workflows. Development activity shows consistent attention to code quality through automated testing pipelines. The tool is distributed through standard Python package management channels, indicating a focus on accessibility and ease of installation for end users.
