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
WHAT IT CONNECTS
What akaramanapp weather mcp server gives an AI Agent
- 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
SECURITY
An MCP listing is not a security review
An MCP server may receive model context, credentials, local files, or permission to call external systems. Review its code, requested environment variables, network behavior, package provenance, and maintenance status before connecting it to an agent.