Show HN: Unlinked, MCP Server for LinkedIn (github.com)

A new tool called Unlinked has been launched to seamlessly integrate LinkedIn professional profiles with AI assistants using the Model Context Protocol (MCP) without the need for manual data handling. Developed in TypeScript, Unlinked leverages LinkedIn's Member Data Portability API to provide AI models like Claude Desktop and GitHub Copilot with direct, real-time access to users' professional data, including positions, education, certifications, and more. It's worth noting that this integration is currently limited to users in the European Economic Area and Switzerland due to regulatory constraints arising from the Digital Markets Act. The significance of Unlinked lies in its ability to enhance AI assistants' contextual understanding of users, thus improving personalization and utility in professional settings. With features like fetching specific data segments, polling for recent profile changes, and diagnosing authorization issues, it ensures a reliable way to maintain up-to-date profiles for AI applications. Notably, the tool ensures data security by implementing a read-only access model, meaning that user data is not stored or logged, offering a privacy-focused approach to integrating LinkedIn with AI.