Linkedin_Mcp_Server
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The LinkedIn Profile Scraper MCP Server uses the Fresh LinkedIn Profile Data API to fetch LinkedIn profile information, implemented as a model context protocol (MCP) server.
The LinkedIn Profile Scraper MCP Server is designed to fetch LinkedIn profile data using the Fresh LinkedIn Profile Data API. It operates as a model context protocol (MCP) server, providing a single tool, `get_profile`, which accepts a LinkedIn profile URL and returns the profile data in JSON format. The server is built with asynchronous HTTP requests using `httpx` and is configured to read environment variables for secure API key management. It requires Python 3.7 or higher and the MCP framework, along with necessary libraries like `httpx` and `python-dotenv`. The server is designed to be run via standard I/O, making it compatible with various platforms and environments.
Features
- Fetch Profile Data: Retrieves LinkedIn profile information including skills and other settings.
- Asynchronous HTTP Requests: Uses `httpx` for non-blocking API calls.
- Environment-based Configuration: Reads the `RAPIDAPI_KEY` from environment variables using `dotenv`.
Tools
get_profile
Accepts a LinkedIn profile URL and returns the profile data in JSON format.
