Mcpx-Py FAQs

Question 1

Can I get structured output with Mcpx-Py?

Accepted Answer

Yes! Mcpx-Py allows you to define `result_type` using Pydantic models, enabling you to receive structured output from LLMs directly in your Python code.

Question 2

Does Mcpx-Py offer a command-line interface?

Accepted Answer

Yes, Mcpx-Py provides a command-line interface (mcpx-client) for interacting with mcp.run tools directly from your terminal.

Question 3

What is Mcpx-Py?

Accepted Answer

Mcpx-Py is a Python library that allows you to interact with Large Language Models (LLMs) using mcp.run tools. It simplifies the process of integrating AI into your Python applications.

Question 4

Which AI providers does Mcpx-Py support?

Accepted Answer

Mcpx-Py supports multiple AI providers, including OpenAI, Claude, Gemini, Ollama, and Llamafile, giving you flexibility in choosing the best model for your needs.

Question 5

How do I install Mcpx-Py?

Accepted Answer

You can install Mcpx-Py using uv with the command `uv add mcpx-py` or using pip with `pip install mcpx-py`.

Mcpx-Py

Key Features

Use Cases

Mcpx-Py

Key Features

Use Cases