Weather MCP
An MCP server for accessing real-time weather data and forecasts.
Weather MCP Server
A Model Context Protocol (MCP) server for weather data using Spring AI.
🚀 Quick Start
Build the JAR file first
./mvnw clean package
Start the MCP server
docker-compose up
The server will be available at:
- HTTP: http://localhost:8080
- MCP Endpoint: http://localhost:8080/sse
- Health: http://localhost:8080/actuator/health
🔌 Cursor Integration
Add to your ~/.cursor/mcp.json:
{ "mcpServers": { "weather": { "command": "<ABSOLUTE_PATH_OF_REPO_ON_LOCAL_MACHINE>/weather/start-mcp-server.sh" } } }
🛠️ Available Tools
getWeatherForecastByLocation(latitude, longitude)- Get weather forecastgetAlerts(state)- Get weather alerts for US states
🐳 Docker Commands
Build the JAR (required before running docker-compose)
./mvnw clean package
Start in background
docker-compose up -d
View logs
docker-compose logs -f
Stop
docker-compose down
Rebuild and start
./mvnw clean package && docker-compose up --build
🧑💻 Development
Prerequisites
- Java 21 (e.g. OpenJDK 21 or Temurin 21)
- Maven 3.9+
- Docker & Docker Compose
Build Locally
Compile & run unit tests
./mvnw clean verify
Build the runnable JAR (output in target/)
./mvnw clean package
Run Locally
Run with the JVM directly
java -jar target/weather-0.0.1-SNAPSHOT.jar
Or use Spring Boot devtools for hot-reload
./mvnw spring-boot:run
Or run with Docker Compose
./mvnw clean package && docker-compose up
The server starts on http://localhost:8080 by default.
Environment Variables
| Name | Default | Description |
|---|---|---|
| SERVER_PORT | 8080 | HTTP port to bind |
| SPRING_AI_MCP_SERVER_STDIO | false | Run the MCP server over stdio (useful for editor integrations) |
| SPRING_PROFILES_ACTIVE | (none) | Comma-separated list of Spring profiles |
Variables can be defined in src/main/resources/application.yml, overridden via -D flags, or exported in your shell.
📡 API Reference
This project exposes two flavours of API:
- MCP Tool Endpoints – consumed by supporting IDEs (e.g. Cursor).
- REST Endpoints – ordinary HTTP endpoints that you can call with
curl, Postman, etc.
MCP Tools
| Tool | Signature | Description |
|---|---|---|
| getWeatherForecastByLocation | (latitude: number, longitude: number) | Returns a human-readable multi-day forecast for the supplied co-ordinates. |
| getAlerts | (state: string) | Returns active alerts for the supplied US state (two-letter code). |
REST Endpoints
| Method | Path | Example |
|---|---|---|
| GET | /forecast?lat={lat}&lon={lon} | /forecast?lat=37.7749&lon=-122.4194 |
| GET | /alerts/{state} | /alerts/CA |
Note: the REST layer simply proxies to the same service methods backing the MCP tools.
เซิร์ฟเวอร์ที่เกี่ยวข้อง
Replicate
Run machine learning models on the Replicate platform using an API token.
Wuying AgentBay MCP Server
A cloud infrastructure from Alibaba Cloud for AI Agents, featuring one-click configuration and serverless execution.
Railway MCP Server
Manage Railway infrastructure through natural language using the Railway API.
Gumroad
Interact with the Gumroad API to access and manage your products, sales, and creator data.
Lokka
A server for the Microsoft Graph and Azure RM APIs to manage Azure and Microsoft 365 tenants with AI.
Remote MCP Server on Cloudflare
Deploy a remote MCP server on Cloudflare Workers with OAuth login support, using Cloudflare KV for data storage.
StreamNative MCP Server
Integrate AI agents with StreamNative Cloud resources and Apache Kafka/Pulsar messaging systems.
Appwrite
Interact with the Appwrite API to manage your backend services.
HubSpot MCP Server by CData
A read-only MCP server for querying live HubSpot data, powered by CData.
AI Image MCP Server
AI-powered image analysis using OpenAI's Vision API.