About MCP Weather Server
MCP Weather Server is a TypeScript server for LLMs that need weather information. It provides forecast and location-based alert access through MCP.
Key features
- 01Real-time weather forecasts
- 02Weather alerts by location
- 03TypeScript implementation
- 04Weather API middleware
Use cases
- 01Retrieve forecasts for a location
- 02Check weather alerts by location
MCP support
It exposes weather forecast and alert capabilities to MCP clients, allowing MCP-enabled LLMs to request weather information.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEMCP Weather Server
A specialized weather data server tool built using the MCP SDK and TypeScript that provides weather information through the Model Context Protocol (MCP). This project enables Large Language Models that support MCP to access weather data directly, creating a seamless integration between AI systems and real-time weather information.
Features
- Enables LLMs to retrieve real-time weather forecasts through function calling
- Allows AI models to access and process weather alerts by location
- Built with TypeScript for type safety and improved developer experience
- Implements the Model Context Protocol (MCP) for standardized LLM communication
- Serves as a middleware between weather data APIs and language models
Claude Desktop Integration
Integrate with the Claude desktop client by adding the following to your Claude configuration file:
{
"mcpServers": {
"weather": {
"command": "node",
"args": [
"/mcp-weather-server/build/index.js"
]
}
}
}
Installation Steps
- Clone and build this repository
- Add the configuration to
~/Library/Application Support/Claude/claude_desktop_config.json - Restart the Claude desktop application
- Your Claude instance will now have access to real-time weather data through MCP
Perfect for AI applications that need to incorporate weather information into their responses, this server bridges the gap between large language models and meteorological data sources through the MCP standard.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.