A
securityF
licenseA
qualityA Model Context Protocol server that provides real-time weather information and 5-day forecasts to AI assistants, supporting multiple languages and flexible units.
Last updated -
3
4
TypeScript
Connects to the DeepSeek platform (which uses the OpenAI API format) to access LLM capabilities through the deepseek-chat model.
MCP-Augmented LLM for Reaching Weather Information
Overview
This system enhances Large Language Models (LLMs) with weather data capabilities using the Model Context Protocol (MCP) framework.
Demo
Components
- MCP Client: Store LLms
- MCP Server: Intermediate agent connecting external tools / resources
Configuration
DeepSeek Platform
OpenWeather Platform
Installation & Execution
- Initialize project:
where weather_mcp is the project file name.
- Install dependencies:
- Launch system:
Note: Replace all
<your_api_key_here>placeholders with actual API keys
This server cannot be installed
remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
An intermediate agent server that enhances LLMs with weather data capabilities using the Model Context Protocol (MCP) framework, enabling retrieval of real-time weather information.
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