Sample to show to integrate MCP (Model Context Protocol) servers with Pydantic.AI\
\ \ Parts of this example uses content from : https://github.com/modelcontextprotocol/quickstart-resources.git - Esp. the weather 'server' code\ \ Code uses two different LLMs just for demonstration. The Proxy Agent uses gpt-4o and the tool uses sonnet. \ So, export OPENAI_API_KEY as well as ANTHROPIC_API_KEY - OR - modify the code to suit your models\ \ The pyproject.toml assumes you are using 'uv' package manager\ \
Steps to run\
- Clone this repo\
- uv sync\
- cd mcp-client\
- uv run client.py (this requires openai and anthropic keys and uses anthropic libs directly)\
- uv run client2.py (for pure pydantic and works with any fn calling LLM)\
\ (Alternatively try client2.py - this uses only PydanticAI - no direct dep on Anthropic libs)\ \ Now, try interacting with some questions like:\ \ \u003e What is the time in NY when it is 7:30pm in Bangalore?\ \ \u003e What is the Weather currently in Chicago?\ \ (and quit when done)