Pydantic Mcp
What is Pydantic Mcp
pydantic-mcp is a tool that provides support for calling Model Context Protocol (MCP) servers within the Pydantic AI framework.
Use cases
Use cases for pydantic-mcp include summarizing documents, data processing tasks, and any application that requires leveraging the capabilities of Pydantic AI in conjunction with MCP servers.
How to use
To use pydantic-mcp, create an mcp.ClientSession and call tools = await mcptools(session) to retrieve a list of pydantic_ai.Tool instances for the supported tools.
Key features
Key features include seamless integration with Pydantic AI, support for MCP servers, and the ability to easily retrieve and utilize various tools through a simple client session.
Where to use
pydantic-mcp can be used in AI applications that require interaction with MCP servers, particularly in scenarios involving model context management and tool invocation.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Pydantic Mcp
pydantic-mcp is a tool that provides support for calling Model Context Protocol (MCP) servers within the Pydantic AI framework.
Use cases
Use cases for pydantic-mcp include summarizing documents, data processing tasks, and any application that requires leveraging the capabilities of Pydantic AI in conjunction with MCP servers.
How to use
To use pydantic-mcp, create an mcp.ClientSession and call tools = await mcptools(session) to retrieve a list of pydantic_ai.Tool instances for the supported tools.
Key features
Key features include seamless integration with Pydantic AI, support for MCP servers, and the ability to easily retrieve and utilize various tools through a simple client session.
Where to use
pydantic-mcp can be used in AI applications that require interaction with MCP servers, particularly in scenarios involving model context management and tool invocation.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
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:
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.
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
