How to Use the Commodities MCP in OpenAI Agents SDK

Feed real-time futures prices straight to your OpenAI Agents SDK pipelines using this secure MCP server.

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Connect Commodities MCP to OpenAI Agents SDK

Create your Vinkius account to connect Commodities to OpenAI Agents SDK 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 OpenAI Agents SDK

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Multi-Agent Energy Tracking via MCP Server

The `get_energy_commodities_prices` tool pulls live futures for oil, Brent, and natural gas in a single call. Your OpenAI Agents SDK setup can route these numbers to a specialized risk agent that calculates margin requirements on the fly. Instead of writing custom API integration code, you pass this tool to your supervisor agent. The agent detects price shifts in `get_crude_oil_price` and hands off the task to your execution agent to hedge positions.

Guardrail validation for precious metals pricing

The `get_precious_metals_prices` tool fetches spot prices for gold, silver, platinum, and palladium. By exposing this MCP tool to your OpenAI Agents SDK, you can enforce strict run-time boundaries on physical asset valuations. Your agents run safety checks on the numbers returned by `get_gold_price` before triggering any portfolio rebalancing. If a price deviates from the moving average, the SDK's tracing dashboard flags the anomaly instantly.

Bulk agricultural market discovery

The `list_all_commodities` tool maps out 30+ available commodity codes and their respective exchanges. Your OpenAI Agents SDK uses this map to dynamically switch focus when a user asks about obscure grain or livestock contracts. Once the agent resolves the correct ticker, it pulls specific figures using `get_agriculture_commodities_prices` or `get_wheat_price`. You get clean, structured data for your downstream decision loops without hardcoding a single ticker symbol.

Setup guide

Set up Commodities MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Commodities tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Commodities tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Commodities tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Commodities Agent",
            instructions="You have access to Commodities tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Commodities-API. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Commodities MCP in OpenAI Agents SDK

Install openai-agents, then instantiate MCPServerStreamableHttp using the Vinkius endpoint URL. Pass the server instance directly into your agent constructor to let the model auto-discover agricultural and energy tools.

Yes. The SDK natively executes concurrent calls, meaning your agent can run `get_coffee_price` and `get_copper_price` simultaneously to compare soft versus industrial markets in one turn.

You can set cacheToolsList=True in your SDK configuration. This keeps the schema of tools like `get_brent_crude_oil_price` cached locally, reducing startup latency for your production trading bots.

You define which tools are exposed by filtering them during the server registration step. This prevents a grain-trading agent from accidentally calling `get_natural_gas_price` and wasting context window tokens.

Vinkius runs the server in an isolated V8 sandbox that forgets your session data the moment the API call completes. Your private API tokens and specific commodity search queries are never stored or used to train models.

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