Weather
0
Provides real-time weather data to AI models through the National Weather Service API, enabling context-aware interactions.
About
This project showcases a lightweight Model Context Protocol (MCP) server, expertly crafted in Python using FastMCP and `httpx`. It serves as a demo for integrating real-time weather data from the National Weather Service API directly into AI agents like Claude Desktop. Designed for local connection, it enables Claude to execute weather retrieval tools and engage in context-aware conversations, demonstrating the power of external tool integration for AI.
Key Features
- Enables context-aware interactions for AI models with external data
- Lightweight MCP server built with FastMCP and httpx
- 0 GitHub stars
- Seamless local integration with Claude Desktop for tool execution
- Real-time weather data retrieval via National Weather Service API
- Python-based implementation for easy customization and extension
Use Cases
- Demonstrating Model Context Protocol (MCP) server development
- Integrating external real-time data into AI models
- Enhancing Claude Desktop's capabilities with custom external tools
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