This MCP server implementation provides a bridge to LinkedIn's platform, enabling AI assistants to perform various LinkedIn operations such as logging in, browsing feeds, searching profiles, viewing specific profiles, and interacting with posts. Developed by alinaqi, it uses Playwright for browser automation and implements secure session management with encrypted cookie storage. The server offers tools for both manual and automated LinkedIn interactions, making it particularly useful for AI applications requiring social media engagement, professional networking, or talent acquisition tasks. It focuses on rate limiting, error handling, and maintaining compliance with LinkedIn's terms of service, ensuring robust and responsible automation of LinkedIn activities.
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Securely log in using environment credentials.
Browse and extract posts from the LinkedIn feed.
Search for profiles matching criteria. Parameters: query (string), count (optional integer).
View and extract data from specific profiles. Parameters: profile_url (string).
Like, comment, or read posts.
