what is MCP Weather Server?
MCP Weather Server is a TypeScript implementation of the Model Context Protocol (MCP) that provides weather information tools using Server-Sent Events (SSE) transport.
how to use MCP Weather Server?
To use the MCP Weather Server, clone the repository, install the dependencies, and start the server. Clients can connect to the server to access weather tools.
key features of MCP Weather Server?
- Implements MCP over SSE transport
- Provides weather tools:
get-forecast
for weather forecasts andget-alerts
for active weather alerts - Connects to the US National Weather Service API
- Supports multiple client connections
use cases of MCP Weather Server?
- Retrieving weather forecasts for specific locations in the US.
- Getting active weather alerts for different states.
- Integrating with AI assistants to provide weather information through natural language.
FAQ from MCP Weather Server?
- What programming language is used for MCP Weather Server?
The server is implemented in TypeScript.
- How can I test if the server is running?
You can test the server by making a request to the SSE endpoint using curl.
- Can I customize the server?
Yes! You can change the port and add more tools by modifying the code.
MCP Weather Server
A TypeScript server implementation for the Model Context Protocol (MCP) using Server-Sent Events (SSE) transport to provide weather information tools.
Overview
This server implements the Model Context Protocol and exposes weather forecast and alert tools through Server-Sent Events (SSE) transport. Unlike standard examples that typically use stdio for local communication, this server demonstrates how to implement remote connections via HTTP, allowing clients to connect over a network.
Features
- Implements MCP over SSE transport
- Provides two weather tools:
get-forecast
: Get weather forecasts for specific coordinatesget-alerts
: Get active weather alerts for US states
- Connects to the US National Weather Service API
- Supports multiple client connections
Prerequisites
- Node.js (v16 or newer)
- npm or yarn
Installation
# Clone the repository
git clone https://github.com/tyfeng1997/mcp-server.git
cd mcp-server
# Install dependencies
npm install
# Build the TypeScript code
npm run build
Usage
To start the server:
node build/index.js
This will start the server on port 3001 by default. You should see output similar to:
Weather MCP Server running on http://localhost:3001
Connect clients to http://localhost:3001/sse
Available Tools
The server exposes two tools:
-
get-forecast
- Description: Get weather forecast for a location
- Parameters:
latitude
(number): Latitude of the location (-90 to 90)longitude
(number): Longitude of the location (-180 to 180)
- Note: Only US locations are supported by the NWS API
-
get-alerts
- Description: Get weather alerts for a state
- Parameters:
state
(string): Two-letter US state code (e.g., CA, NY)
Testing the Server
You can test if the server is running correctly by making a request to the SSE endpoint:
curl http://localhost:3001/sse
This should return an event with a session ID.
Companion Client
This server is designed to work with the MCP client available at tyfeng1997/mcp-client. The client connects to this server and allows AI assistants like Claude to use the weather tools through natural language.
Customization
Port Configuration
To change the port, modify the PORT
constant in the code:
const PORT = 3001; // Change to your desired port
Adding More Tools
You can add more tools by following the pattern used for the existing tools:
server.tool(
"your-tool-name",
"Your tool description",
{
// Parameters schema using zod
param1: z.string().describe("Parameter description"),
param2: z.number().describe("Parameter description"),
},
async ({ param1, param2 }) => {
// Tool implementation
return {
content: [
{
type: "text",
text: "Tool result",
},
],
};
}
);
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
License
This project is licensed under the MIT License - see the LICENSE file for details.