How to Use the Commodities MCP in Pydantic AI

Fetch type-safe futures data into Pydantic AI using this MCP Server to validate commodity market prices at runtime.

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Connect Commodities MCP to Pydantic AI

Create your Vinkius account to connect Commodities to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Commodities with Pydantic AI

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Type-safe agricultural data parsing

The `get_agriculture_commodities_prices` tool returns structured pricing for global crops like wheat, corn, and coffee. When integrated with Pydantic AI, every single field in the payload is validated against strict Python type hints before your agent ever sees it. If the underlying API changes its schema, your agent crashes immediately instead of processing corrupted prices. This guarantees that tools like `get_wheat_price` feed clean, reliable floats into your financial models.

Validated precious metals pricing via MCP Server

The `get_precious_metals_prices` tool fetches current spot rates for gold, silver, platinum, and palladium. Exposing this via an MCP Server ensures that your Pydantic AI agent parses precious metal ratios with absolute mathematical precision. You can write custom validators to verify that the value returned by `get_gold_price` is a positive number within expected historical bounds. The framework rejects any hallucinated or malformed API responses instantly.

Strict energy market integration

The `get_energy_commodities_prices` tool aggregates live futures for crude oil, Brent, and natural gas. Your Pydantic AI agent uses these structured schemas to run automated hedging simulations without worrying about null values or missing keys. Whether you query `get_crude_oil_price` or `get_natural_gas_price`, the framework guarantees the output matches your exact model definitions. This strict validation prevents downstream calculations from failing silently during high-volatility trading hours.

Setup guide

Set up Commodities MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "commodities-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Commodities tools.",
)

result = await agent.run("List recent Commodities transactions")
print(result.output)

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Common questions about Commodities MCP in Pydantic AI

The framework intercepts the tool output from endpoints like `get_copper_price` and runs it through Pydantic's validation engine. If any field fails to match the expected type, a validation error is raised immediately.

Yes. Pydantic AI is completely model-agnostic, meaning you can pipe validated data from `list_all_commodities` into Anthropic, Gemini, or local models.

Use the unified MCPToolset constructor pointing to your Vinkius HTTP endpoint. Pass the toolset instance directly into the Agent constructor to expose the market tools.

Your Pydantic schemas will catch it instantly. The agent will fail loudly with a validation error, preventing your trading algorithms from executing trades based on incomplete pricing.

Vinkius hosts the server in a secure, ephemeral sandbox that isolates your API calls. Your specific commodity queries and authentication tokens are never logged or stored, maintaining strict data privacy.

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