AI Chatbot & MCP Agent

Example Use Cases

• 1

  Call multiple specialized tools dynamically via a standardized protocol.

• 2

  That require real-time weather data integrated into their responses.

• 3

  That benefit from scalable, multi-server tool ecosystems with clean tool discovery and invocation.

Description

This repository provides a step-by-step Go implementation of an AI chatbot evolving into a tool-calling AI agent using the Model Context Protocol (MCP). It features multi-server support with real-time weather data integration via Open-Meteo API, enabling scalable, modular AI agents that can discover and call tools dynamically. The MCP architecture decouples tools from agents, facilitating production-ready AI systems with clean, type-safe tool registration and multi-server aggregation.