Build Your Own MCP Server with Python and Sevalla
SMRTR summary
The Model Context Protocol (MCP) allows AI models to securely connect to external systems, files, and APIs through structured servers. This guide demonstrates building an MCP server using Python and the FastMCP library, creating three tools: a number addition function, a random word generator, and a live weather data fetcher. The resulting server can be deployed to cloud platforms like Sevalla, enabling AI models to access real-world data and functionality beyond text prompts.
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