Do I need both OpenAI and Anthropic API keys?
The proxy agent uses gpt‑4o and the tool uses sonnet. You must export both `OPENAI_API_KEY` and `ANTHROPIC_API_KEY`, unless you modify the code to use different models.
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Basic information
Example for exposing MCP servers to Pydantic Agents
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
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Mcp_proxy_pydantic_agent is a sample integration that shows how to connect Model Context Protocol (MCP) servers with Pydantic.AI. It demonstrates using a weather server example and is intended for developers who want to mix MCP tools with PydanticAI agents.
Clone the repo, run uv sync, change into mcp-client, then run either client.py (requires OpenAI and Anthropic API keys and uses Anthropic libraries directly) or client2.py (uses only PydanticAI and works with any function‑calling LLM). Export OPENAI_API_KEY and ANTHROPIC_API_KEY before running.
The proxy agent uses gpt‑4o and the tool uses sonnet. You must export both `OPENAI_API_KEY` and `ANTHROPIC_API_KEY`, unless you modify the code to use different models.
`client.py` uses Anthropic libraries directly. `client2.py` uses only PydanticAI and works with any function‑calling LLM.
The project uses the `uv` package manager (as configured in `pyproject.toml`).
The weather server code is adapted from the MCP quickstart resources repository.
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