MCP Server Practice 2

🚀 MCP Server Practice

This repository implements a Model Context Protocol (MCP) server for LinkedIn profile scraping and weather data retrieval. The MCP framework facilitates seamless integration and communication between AI services.

🚀 Quick Start

✨ Features

• LinkedIn Profile Scraper: Utilizes the Fresh LinkedIn Profile Data API to scrape LinkedIn profile information.
• Weather Data Service: Retrieves weather alerts and forecasts through the National Weather Service (NWS) API.

📦 Installation

Prerequisites

• Python 3.7+
• httpx for asynchronous HTTP requests
• python-dotenv for environment variable management
• mcp for MCP server implementation

Steps

1. Clone the repository:

   git clone https://github.com/mybarefootstory/MCP-Server-Practice-2.git
   cd MCP-Server-Practice-2
   

2. Install dependencies:

   pip install httpx python-dotenv mcp
   

3. Configure environment variables:

   • Create a .env file in the root directory.
   • Add your RapidAPI key:

     RAPIDAPI_KEY=your_rapidapi_key_here
     

💻 Usage Examples

LinkedIn Profile Scraper

Basic Usage

from mcp.server.fastmcp import FastMCP
import httpx
import os
from dotenv import load_dotenv

load_dotenv()
RAPIDAPI_KEY = os.getenv("RAPIDAPI_KEY")

mcp = FastMCP("linkedin_profile_scraper")

async def get_linkedin_data(linkedin_url: str) -> dict:
    # Scrape LinkedIn profile data
    ...

@mcp.tool()
async def get_profile(linkedin_url: str) -> str:
    # Get LinkedIn profile information
    ...

if __name__ == "__main__":
    mcp.run(transport="stdio")

Weather Data Service

Basic Usage

from mcp.server.fastmcp import FastMCP
import httpx

mcp = FastMCP("weather")

async def make_nws_request(url: str) -> dict:
    # Send a request to the NWS API
    ...

@mcp.tool()
async def get_alerts(state: str) -> str:
    # Get weather alerts for a US state
    ...

@mcp.tool()
async def get_forecast(latitude: float, longitude: float) -> str:
    # Get weather forecasts for a location
    ...

if __name__ == "__main__":
    mcp.run(transport='stdio')

📚 Documentation

• LinkedIn Profile Scraper: After running the server, use the get_profile tool to obtain LinkedIn profile information.
• Weather Data Service: After running the server, use the get_alerts and get_forecast tools to retrieve weather information.