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weather-mcp-server
A lightweight Model Context Protocol (MCP) server that enables AI assistants like Claude to retrieve and interpret real-time weather data. What makes it popular:
2
Github Watches
10
Github Forks
195
Github Stars
A lightweight Model Context Protocol (MCP) server that enables AI assistants like Claude to retrieve and interpret real-time weather data.

Installing on Claude Desktop
To use your MCP server with Claude Desktop, add it to your Claude configuration:
1. Local mode
{
"mcpServers": {
"weather-mcp-server": {
"command": "/path/to/weather-mcp-server",
"args": [],
"env": {
"WEATHER_API_KEY": "your-api-key"
}
}
}
}
You can get an API key from your personal account on WeatherAPI.
2. Remote mode
{
"mcpServers": {
"weather-mcp-server": {
"url": "http://host:port/sse"
}
}
}
Build from source
You can use go
to build the binary in the cmd/github-mcp-server
directory.
go build -o weather-mcp-server ./cmd/weather-mcp-server
Using MCP with Docker Containers
1. Build the Docker image:
docker build -t weather-mcp-server .
2. Run the Docker Container:
docker run -e WEATHER_API_KEY=your-api-key -d --name weather-mcp-server -p 8000:8000 weather-mcp-server
Replace your-api-key
with your actual WeatherAPI API key.
Tools
-
current_weather - Gets the current weather for a city
-
city
: The name of the city (string, required)
-
Project Structure
The project is organized into several key directories:
├── cmd
│ └── weather-mcp-server
├── internal
│ └── server
│ ├── handlers # MCP handlers
│ ├── services # Business logic layer
│ │ ├── core # Core application logic
│ │ └── mock # Mock services for testing
│ ├── tools # MCP tools
│ └── view # Templates for displaying messages
└── pkg
Contributing
Feel free to open tickets or send pull requests with improvements. Thanks in advance for your help!
Please follow the contribution guidelines.
License
This MCP server is licensed under the MIT License.
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Reviews

user_jCaqE9NI
Weather-mcp-server is a highly efficient application by TuanKiri, providing accurate and real-time weather data. Easy to set up and use, it integrates smoothly into any system. As a loyal mcp application user, I appreciate its reliability and seamless performance. Highly recommended for anyone needing a robust weather solution.