Math
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Exposes mathematical tools and prompt templates for use by LLM agents.
About
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.
Key Features
- 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
Use Cases
- Building tool-augmented AI servers
- Creating AI agents that can perform calculations
- Integrating math functions into an LLM workflow