
mcp-weather-server
By MiesnerJacob
GitHub
An example Model Context Protocol server that provides weather data to LLMs.
mcp-weather-server
weather-data
Overview
what is mcp-weather-server?
The mcp-weather-server is an example Model Context Protocol server designed to provide weather data to Large Language Models (LLMs).
how to use mcp-weather-server?
To use the mcp-weather-server, you can integrate it with your LLM application by sending requests to the server to retrieve weather data based on specified parameters.
key features of mcp-weather-server?
- Provides real-time weather data to LLMs
- Supports various weather data queries
- Easy integration with existing LLM applications
use cases of mcp-weather-server?
- Enhancing conversational AI with real-time weather updates.
- Enabling weather-related queries in chatbots.
- Supporting data-driven decision-making in applications requiring weather information.
FAQ from mcp-weather-server?
- What kind of weather data can I get?
You can retrieve various types of weather data including temperature, humidity, wind speed, and forecasts.
- Is there a limit to the number of requests?
The server is designed to handle multiple requests, but performance may vary based on server load.
- Can I customize the data I receive?
Yes, you can specify parameters in your requests to customize the weather data you receive.
Content
mcp-weather-server
An example Model Context Protocol server that provides weather data to LLMs.
No tools information available.