🚀 Advanced MCP Server

A professional Model Context Protocol (MCP) server built with Python and FastMCP. This server extends AI capabilities by providing real-time data and local system access.

✨ Features

• 🌦️ Weather Alerts: Fetches active US weather alerts from the National Weather Service.

• 📰 News Search: Real-time news searching using the NewsAPI.

• 📁 Directory Explorer: Allows the AI to list and explore local system directories safely.

• 🔐 Secure Secrets: Uses .env for safe API key management.

Related MCP server: Weather MCP Server

🛠️ Getting Started

Prerequisites

• Python 3.10+

• uv (Recommended)

Installation

1. Clone the repository:

   git clone https://github.com/Rahii123/mcp.git
   cd mcp

2. Install dependencies:

   uv sync

Setup

Create a .env file in the root directory and add your NewsAPI key:

NEWS_API_KEY=your_actual_key_here

🚀 Running the Server

Run directly with uv:

uv run server.py

🧪 Testing Your Server

We have provided two separate clients for testing:

🏠 1. Local Testing (Stdio)

Use this when you are developing on your own machine.

uv run client_local.py

This starts the server as a background process and communicates directly.

🌐 2. Online Testing (SSE)

Use this after you have deployed your server to the web (e.g., Railway).

uv run client_online.py

This asks for your deployment URL and connects over the internet.

☁️ Deployment to Railway (Step-by-Step)

1. Push to GitHub

Ensure all your changes are committed and pushed to your GitHub repository:

git add .
git commit -m "Prepare for deployment"
git push origin main

2. Connect to Railway

1. Go to Railway.app and log in.

2. Click + New Project > Deploy from GitHub repo.

3. Select your mcp repository.

3. Configure the Service

1. Environment Variables:

   • Go to the Variables tab in Railway.

   • Add NEWS_API_KEY: (Your actual NewsAPI Key)

2. Start Command:

   • Railway should automatically detect pyproject.toml, but if needed, set the start command to:

     uv run server.py

3. Networking:

   • Railway will automatically detect the port from the $PORT environment variable. Ensure your server.py is using mcp.run(transport='sse') (I've already configured this for you).

4. Fetch your URL

Once the build is finished, Railway will provide a public URL (e.g., https://mcp-production.up.railway.app). The MCP endpoint will be at: https://your-app-url.up.railway.app/sse