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PydanticAI MCP Experiment

@eschmidt42

代码仓库

基本信息

分类

其他

许可证

MIT license

传输方式

stdio

作者

eschmidt42

关于 PydanticAI MCP Experiment

Minimalist examples to provide your own MCP servers to your local llm models.

#pydantic#mcp#local-llm

PydanticAI MCP Experiment 配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

PydanticAI MCP Experiment 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is PydanticAI MCP Experiment?

PydanticAI MCP Experiment provides minimalist examples for running your own MCP servers with local LLM models. It uses pydantic_ai and local models via Ollama, offering four different transport configurations under the examples/ folder. This project is aimed at developers who want to get hands‑on experience with MCP clients and servers.

How to use PydanticAI MCP Experiment?

The project is managed with uv. After cloning, run uv sync to install dependencies. Then change into any example folder (e.g., examples/0_subprocess) and start the server with python server.py, followed by python client.py in another terminal. The setup uses Logfire for logging, which will prompt for authentication on first run.

Key features of PydanticAI MCP Experiment

  • Four transport examples: stdio, HTTP via mcp.run, FastAPI, and Starlette
  • Uses pydantic_ai and local Ollama models
  • Minimal, self‑contained client/server pairs per example
  • Logging integration with Logfire (optional)
  • Managed with uv for reproducible environments

Use cases of PydanticAI MCP Experiment

  • Experimenting with MCP servers on a local machine
  • Comparing different transport protocols (stdio vs HTTP)
  • Prototyping MCP‑based AI assistants with pydantic_ai
  • Learning how to integrate MCP with local LLM models

常见问题

1

What is required to run the examples?

You need Python and `uv`. The project also assumes you have a local Ollama instance available for the LLM models.

2

How do I set up the project?

Run `uv sync` in the root directory to install all dependencies. No additional configuration is required.

3

How do I run an example?

Change to the example folder (e.g., `examples/0_subprocess`), start the server with `python server.py`, then in another terminal run `python client.py`.

4

What logging is used and can I change it?

The project uses Logfire by default. You will be asked to authenticate on first run. You can switch to an alternative OpenTelemetry backend like `otel‑tui`, but the README notes that prompt and response messages may not be displayed that way.

5

What MCP transport protocols are available?

The examples include stdio (via subprocess) and three HTTP variants: using `mcp.run`, FastAPI, and Starlette.

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