mcp-weather-server

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?

  1. Enhancing conversational AI with real-time weather updates.
  2. Enabling weather-related queries in chatbots.
  3. 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.

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