mcp-linkedin-server
The LinkedIn Browser MCP Server is a server designed for automating LinkedIn interactions and data extraction using browser automation. It features secure authentication, profile operations, and post interactions while ensuring compliance with LinkedIn's terms and rate limits. The server is built on FastMCP and supports session persistence and rate limiting for secure and efficient operation.
What are the prerequisites for using the LinkedIn Browser MCP Server?
You need Python 3.8+, Playwright, the FastMCP library, and a LinkedIn account.
How does the server ensure secure authentication?
The server uses environment-based credential management, encrypted cookie storage, and session persistence to ensure secure authentication.
What measures are in place to comply with LinkedIn's rate limits?
The server implements rate limiting protection, allowing a maximum of 5 login attempts per hour and using session reuse and cookie persistence to minimize login needs.
Can I contribute to the LinkedIn Browser MCP Server project?
Yes, you can contribute by forking the repository, creating a feature branch, committing your changes, pushing to the branch, and creating a Pull Request.
Is the LinkedIn Browser MCP Server compliant with LinkedIn's terms of service?
The tool is designed for educational purposes and should be used in compliance with LinkedIn's terms of service and rate limiting guidelines.