Pydanticai Mcp Demo
What is Pydanticai Mcp Demo
pydanticai_mcp_demo is a demonstration project that showcases how to integrate the Model Context Protocol (MCP) with the Pydantic AI framework, enabling enhanced capabilities for AI agents.
Use cases
Use cases include automating file management tasks, developing intelligent assistants that can manipulate files, and creating applications that require dynamic interaction with the file system.
How to use
To use pydanticai_mcp_demo, clone the repository and install the necessary dependencies by running ‘make install’. Configure your API keys for OpenAI, Anthropic, or Gemini, and then start the interactive CLI with ‘make run’ to interact with the agent.
Key features
Key features include the ability for the agent to read, write, edit, and move files, create and list directories, and search for files, all through an MCP server interface.
Where to use
pydanticai_mcp_demo can be used in various fields such as AI development, automation scripts, and any application requiring file system interaction through an AI agent.
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 Pydanticai Mcp Demo
pydanticai_mcp_demo is a demonstration project that showcases how to integrate the Model Context Protocol (MCP) with the Pydantic AI framework, enabling enhanced capabilities for AI agents.
Use cases
Use cases include automating file management tasks, developing intelligent assistants that can manipulate files, and creating applications that require dynamic interaction with the file system.
How to use
To use pydanticai_mcp_demo, clone the repository and install the necessary dependencies by running ‘make install’. Configure your API keys for OpenAI, Anthropic, or Gemini, and then start the interactive CLI with ‘make run’ to interact with the agent.
Key features
Key features include the ability for the agent to read, write, edit, and move files, create and list directories, and search for files, all through an MCP server interface.
Where to use
pydanticai_mcp_demo can be used in various fields such as AI development, automation scripts, and any application requiring file system interaction through an AI agent.
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
AI Agent with MCP Demo
This is a demonstration of how to use Model Context Protocol (MCP) to add capabilties to a Pydantic AI Agent.
Currently the framework does not natively support MCP or even directly specifying tool definition schemas, so it’s not so straightforward.
The agent will be provided tools for interacting with the filesystem, via an MCP server based on the official reference implementation here.
See the article here for more context!
Requirements
Installation
Clone this repo then run:
make install
Usage
Coonfigure your OPENAI_API_KEY, ANTHROPIC_API_KEY or GEMINI_API_KEY, then run the interactive CLI:
make run
Tell the agent what you would like it to do! It will have access to the following tools:
- read file(s)
- write/edit/move files
- create & list directories
- search files
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.
