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气象服务器
实现天气信息系统的基于打字稿的MCP服务器。
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Weather Server MCP Server
Test weather server tool
This is a TypeScript-based MCP server that implements a weather information system. It demonstrates core MCP concepts by providing:
- Resources representing weather data with URIs and metadata
- Tools for fetching and updating weather information
- Prompts for generating weather summaries
Features
Resources
- List and access weather data via
weather://
URIs - Each weather entry has a location, temperature, and metadata
- JSON mime type for structured data access
Tools
-
fetch_weather
- Fetch current weather information- Takes location as a required parameter
- Retrieves weather data from an external API
-
update_weather
- Update weather information- Takes location and new weather data as required parameters
- Updates the weather data in server state
Prompts
-
summarize_weather
- Generate a summary of the current weather data- Includes all weather entries as embedded resources
- Returns structured prompt for LLM summarization
Development
Install dependencies:
npm install
Rename .envexample
to .env
:
mv .envexample .env
Update OPENWEATHER_API_KEY
in the .env
file:
OPENWEATHER_API_KEY=Your_Own_OpenWeather_API_KEY
Build the server:
npm run build
For development with auto-rebuild:
npm run watch
Installation
To use with Claude Desktop, add the server config:
On MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json
{
"mcpServers": {
"weatherserver": {
"command": "/path/to/weatherserver/build/index.js"
}
}
}
Debugging
Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector, which is available as a package script:
npm run inspector
The Inspector will provide a URL to access debugging tools in your browser.
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Reviews

user_d8YG8mlK
Weather-server by chaminda360 is a fantastic tool! As an MCP app user, its accuracy and user-friendly interface stand out. It effortlessly provides real-time weather updates, making it an essential for anyone who needs reliable weather data. Highly recommend checking it out at the provided GitHub link!