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.
LinkedIn Profile Scraper MCP Server
This MCP server uses the Fresh LinkedIn Profile Data API to fetch LinkedIn profile information. It is implemented as a model context protocol (MCP) server and exposes a single tool, get_profile, which accepts a LinkedIn profile URL and returns the profile data in JSON format.
Features
- Fetch Profile Data: Retrieves LinkedIn profile information including skills and other settings (with most additional details disabled).
- Asynchronous HTTP Requests: Uses
httpxfor non-blocking API calls. - Environment-based Configuration: Reads the
RAPIDAPI_KEYfrom your environment variables usingdotenv.
Prerequisites
- Python 3.7+ – Ensure you are using Python version 3.7 or higher.
- MCP Framework: Make sure the MCP framework is installed.
- Required Libraries: Install
httpx,python-dotenv, and other dependencies. - RAPIDAPI_KEY: Obtain an API key from RapidAPI and add it to a
.envfile in your project directory (or set it in your environment).
Installation
-
Clone the Repository:
git clone https://github.com/codingaslu/Linkedin_Mcp_Server cd Linkedin_Mcp_Server -
Install Dependencies:
uv add mcp[cli] httpx requests -
Set Up Environment Variables:
Create a
.envfile in the project directory with the following content:RAPIDAPI_KEY=your_rapidapi_key_here
Running the Server
To run the MCP server, execute:
uv run linkedin.py
The server will start and listen for incoming requests via standard I/O.
MCP Client Configuration
To connect your MCP client to this server, add the following configuration to your config.json. Adjust the paths as necessary for your environment:
{
"mcpServers": {
"linkedin_profile_scraper": {
"command": "C:/Users/aiany/.local/bin/uv",
"args": [
"--directory",
"C:/Users/aiany/OneDrive/Desktop/linkedin-mcp/project",
"run",
"linkedin.py"
]
}
}
}
Code Overview
- Environment Setup: The server uses
dotenvto load theRAPIDAPI_KEYrequired to authenticate with the Fresh LinkedIn Profile Data API. - API Call: The asynchronous function
get_linkedin_datamakes a GET request to the API with specified query parameters. - MCP Tool: The
get_profiletool wraps the API call and returns formatted JSON data, or an error message if the call fails. - Server Execution: The MCP server is run with the
stdiotransport.
Troubleshooting
- Missing RAPIDAPI_KEY: If the key is not set, the server will raise a
ValueError. Make sure the key is added to your.envfile or set in your environment. - API Errors: If the API request fails, the tool will return a message indicating that the profile data could not be fetched.
License
This project is licensed under the MIT License. See the file for more details.
