mcpx-py LLM Interface

Example Use Cases

• 1

  Interact programmatically with multiple LLM providers through a unified Python interface.

• 2

  Generate structured outputs from LLM responses using Pydantic models.

• 3

  Command line access to chat with LLMs and call various tools via mcp.run.

Description

mcpx-py provides a unified Python interface to interact with various large language models (LLMs) supported by PydanticAI, including Claude, OpenAI, Gemini, Ollama, and Llamafile. It simplifies session management with mcp.run and supports structured output via Pydantic models. The library also offers command line tools for chatting with LLMs, listing and calling tools, and supports multiple AI providers with easy environment variable configuration.