MCP Weather Server
About
A specialized weather data server 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 betwee
Details
- Author
- nosadaniel
- Downloads
- 244
- Categories
- Media
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- Retrieves real-time weather forecasts for LLMs through function calling
- Enables 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 for standardized LLM communication
- Integrates seamlessly with the Claude desktop client
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
MCP Weather ServerCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Clone and build the repository, then add the server configuration to your Claude desktop configuration file (claude_desktop_config.json). Restart the Claude desktop application; your Claude instance will then have access to real-time weather data through MCP.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"mcp weather server": {
"weather": {
"command": "node",
"args": [
"/mcp-weather-server/build/index.js"
]
}
}
}
}McpServers
{
"weather": {
"command": "node",
"args": [
"/mcp-weather-server/build/index.js"
]
}
}MCP 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 modelsClaude 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
1. Clone and build this repository 2. Add the configuration to~/Library/Application Support/Claude/claude_desktop_config.json
3. Restart the Claude desktop application
4. 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.
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