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The post introduces a method to create MCP-powered agents in Python, highlighting a simplified setup for integrating external tools with large language models (LLMs). By using the Model Context Protocol (MCP), these agents can easily interact with various tools without custom integration. The guide details the setup and execution of such agents using the huggingface_hub, showcasing potential use cases and possible configurations. It emphasizes the role of the MCPClient in facilitating asynchronous connections to MCP servers, tool discovery, and execution.

Tiny Agents in Python: a MCP-powered agent in ~70 lines of code

Using the Tools: Streaming and Processing

Our Tiny Python Agent: It's (Almost) Just a Loop!