Math

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This example demonstrates how to build a tool-augmented AI server in Python. It showcases how to register and expose math tools (add, subtract, multiply) and prompt templates using FastMCP and SSE (Server-Sent Events). The client connects to the server, discovers available tools, and utilizes a LangChain agent to invoke those tools, effectively demonstrating how an LLM agent can leverage external tools to answer questions.

Características Principales

• Implements async programming for client-server communication
• 0 GitHub stars
• Exposes tools via Server-Sent Events (SSE)
• Registers and exposes tools in a Python server
• Connects to a tool server and discovers available tools
• Uses an LLM agent to leverage external tools

Casos de Uso

• Building tool-augmented AI servers
• Creating AI agents that can perform calculations
• Integrating math functions into an LLM workflow