pydantic-mcp

PydanticAI now includes support for MCP servers, use that instead

Model Context Protocol tool calling support for Pydantic AI.

Just create an mcp.ClientSession and call tools = await mcptools(session) to get a list of pydantic_ai.Tool instances for the supported tools.

Example:

https://github.com/rectalogic/pydantic-mcp/blob/98c4e9abf31837cb48ebeb3eae6cb55b16c841e8/tests/demo.py#L15-L25

Demo

You can run the demo against Groq llama-3.1-8b-instant:

$ export GROQ_API_KEY=xxx
$ uv run tests/demo.py "Read and summarize the file ./LICENSE"
Secure MCP Filesystem Server running on stdio
Allowed directories: [ '/users/aw/projects/rectalogic/pydantic-mcp' ]
The file ./LICENSE is a MIT License agreement. It states that the software is provided "as is" without warranty and that the authors and copyright holders are not liable for any claims, damages, or other liability arising from the software or its use.