Empower AI agents to connect with LinkedIn for social listening, data fetching, and engagement through natural language.
Sponsored
The OutX MCP Server acts as a bridge, enabling AI agents such as Claude, Cursor, and Claude Code to seamlessly interact with LinkedIn. It leverages the OutX LinkedIn social listening and data API, allowing users to perform actions like creating watchlists to monitor posts by keywords, people, or companies, searching and filtering posts with various criteria, fetching detailed LinkedIn profiles, and engaging with content by liking or commenting. All these powerful capabilities are accessible to AI agents through simple natural language commands, streamlining social media intelligence and interaction workflows.
Key Features
01Search and filter LinkedIn posts with over 15 criteria including keyword, date, and trending status
020 GitHub stars
03Interact with LinkedIn capabilities using natural language via AI agents
04Engage with LinkedIn content by liking and commenting on posts
05Create and manage watchlists for monitoring LinkedIn posts by keywords, people, or companies
06Fetch comprehensive LinkedIn profiles, including experience, education, and skills
Use Cases
01Automating LinkedIn profile research and data collection for prospect qualification or hiring
02Enabling AI agent-driven engagement to like and comment on LinkedIn posts
03Conducting LinkedIn social listening for market trends, competitor monitoring, and sales signals
