LinkedIn is a Model Context Protocol (MCP) server: Read LinkedIn profiles, companies, jobs and messages via your own browser session. Because it speaks the Model Context Protocol, AI assistants can use LinkedIn as a set of callable tools instead of you copy-pasting between apps.
It runs locally: the Python package linkedin-api-mcp (via uvx) speaks MCP over stdio on your machine. The current release is v1.0.1, published under the MIT license, with source at JohannsenLum/linkedin-api-mcp on GitHub.
On mcp.site, LinkedIn sits in the AI & Agents category. Any MCP client can use it — Claude Desktop, Claude Code, Cursor, VS Code, Windsurf, Zed among them — via the install snippets below. If you maintain LinkedIn for JohannsenLum, claim this listing to verify ownership, earn the Verified badge, and keep the details current.
▸PyPI package — linkedin-api-mcp · MCP over stdio
▸Open source — MIT license · JohannsenLum/linkedin-api-mcp