Integration · MODEL CONTEXT PROTOCOL
akaramanapp weather mcp server
A Model Context Protocol (MCP) server that provides weather information and alerts using the National Weather Service (NWS) API
连接能力
akaramanapp weather mcp server 为 AI Agent 提供什么
- Tool for getting weather alerts for any US state
- Tool for getting detailed weather forecasts for any US location using coordinates
- Supports temperature, wind conditions, and short forecast descriptions
- Real-time data from the National Weather Service
- Node.js (v16 or higher)
- npm or yarn package manager
- Clone the repository:
- Install dependencies:
- Build the application:
- `state`: Two-letter state code (e.g., CA, NY)
- `latitude`: Latitude of the location (-90 to 90)
- `longitude`: Longitude of the location (-180 to 180)
- Built with TypeScript
- Implements Model Context Protocol (MCP) server
- Uses @modelcontextprotocol/sdk for MCP server implementation
- Interfaces with the National Weather Service (NWS) API
- ES2022 target with Node16 module resolution
- Make changes in the `src/index.ts` file
- Rebuild the application:
- @modelcontextprotocol/sdk: MCP server implementation framework
- zod: Runtime type checking and validation for tool parameters
- TypeScript: Development dependency for type safety
- This server only works for US locations as it uses the National Weather Service API
- API requests are rate-limited and require a User-Agent header
- All coordinates should be in decimal degrees format
- This is not a standalone CLI application, but rather a server that provides tools for AI agents through the Model Context Protocol
安全
MCP 收录不等于安全审核
MCP 服务器可能获得模型上下文、凭据、本地文件或调用外部系统的权限。连接 Agent 前,请检查代码、环境变量、网络行为、软件包来源与维护状态。
README
仓库文档
A Model Context Protocol (MCP) server that provides weather information and alerts for US locations using the National Weather Service (NWS) API. This server is designed to be used by AI agents through the Model Context Protocol.
- Tool for getting weather alerts for any US state
- Tool for getting detailed weather forecasts for any US location using coordinates
- Supports temperature, wind conditions, and short forecast descriptions
- Real-time data from the National Weather Service
- Node.js (v16 or higher)
- npm or yarn package manager
- Clone the repository:
git clone https://github.com/akaramanapp/weather-mcp-server.git
cd weather-mcp-server- Install dependencies:
npm install- Build the application:
npm run buildThe server provides two MCP tools that can be used by AI agents:
Get weather alerts for a specific US state.
Parameters:
state: Two-letter state code (e.g., CA, NY)
Example response:
{
"content": [
{
"type": "text",
"text": "Active alerts for CA: ..."
}
]
}Get weather forecast for a specific location using coordinates.
Parameters:
latitude: Latitude of the location (-90 to 90)longitude: Longitude of the location (-180 to 180)
Example response:
{
"content": [
{
"type": "text",
"text": "Morning: Temperature: 72°F, Wind: 5mph NW, Partly cloudy..."
}
]
}weather/
├── src/
│ └── index.ts # Main server code with MCP tool implementations
├── build/ # Compiled JavaScript files
├── package.json # Project dependencies and scripts
└── tsconfig.json # TypeScript configuration
- Built with TypeScript
- Implements Model Context Protocol (MCP) server
- Uses @modelcontextprotocol/sdk for MCP server implementation
- Interfaces with the National Weather Service (NWS) API
- ES2022 target with Node16 module resolution
To modify or extend the server:
- Make changes in the
src/index.tsfile - Rebuild the application:
npm run build- @modelcontextprotocol/sdk: MCP server implementation framework
- zod: Runtime type checking and validation for tool parameters
- TypeScript: Development dependency for type safety
ISC
- This server only works for US locations as it uses the National Weather Service API
- API requests are rate-limited and require a User-Agent header
- All coordinates should be in decimal degrees format
- This is not a standalone CLI application, but rather a server that provides tools for AI agents through the Model Context Protocol
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