How to Use the USDA NASS MCP in OpenAI Agents SDK

Q: How does the OpenAI Agents SDK access USDA NASS crop yields?

Your agent calls the getcropsummary tool. You input a commodity like SOYBEANS, and it returns detailed stats on units, state scope, and years immediately.

Q: Can I find livestock data using USDA NASS and the OpenAI Agents SDK?

Yeah, you use getlivestocksummary. Just give it a commodity—like CATTLE or HOGS—and optionally specify a state or year to narrow down the production summary.

Q: If I need to find valid parameters, how does the OpenAI Agents SDK help?

Run getparamvalues. You pass in the desired sector or group, and it lists exactly what values you can use for filtering before your main query. It’s a pre-check that keeps things accurate.

Access US farm statistics reliably with your OpenAI Agents SDK.

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Connect USDA NASS MCP to OpenAI Agents SDK

Create your Vinkius account to connect USDA NASS 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 USDA NASS with OpenAI Agents SDK

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Get Detailed Crop Statistics

Need to know what's growing where? Your agent executes `get_crop_summary` by taking a commodity name—like CORN or WHEAT. It spits out detailed statistics, including units and the specific geographic area it covers. This tool lets you filter results down by state and year for precision. You get actionable data on yields and acreage directly into your production agent system.

Model Farm Economics & Demographics

Want to build a picture of the agricultural sector? Use `get_economics_data` or `get_demographics_data`. You just specify a commodity, state, or year, and the MCP Server handles the rest. It automatically sets the correct sector for you. This means your agent doesn't need to worry about internal mapping; it just needs to call the tool and get accurate economic figures.

Query Quick Stats Database

Stop writing complex SQL. Your client uses `get_quick_stats` to query USDA NASS data across multiple categories, including crops, animals, and economics. You pass parameters like sector, commodity, state, or even frequency. This tool is a powerful shortcut for your agent, giving you statistical value, unit info, and time period data without manual lookups.

Setup guide

Set up USDA NASS 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 USDA NASS tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate USDA NASS 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="USDA NASS Agent",
            instructions="You have access to USDA NASS 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 USDA NASS. 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 USDA NASS MCP in OpenAI Agents SDK

Your agent calls the `get_crop_summary` tool. You input a commodity like SOYBEANS, and it returns detailed stats on units, state scope, and years immediately.

Yeah, you use `get_livestock_summary`. Just give it a commodity—like CATTLE or HOGS—and optionally specify a state or year to narrow down the production summary.

You can access yields, farm economics, demographics, and livestock data. The `search_by_commodity` tool is a broad search that pulls together all available statistics for any given commodity name.

Run `get_param_values`. You pass in the desired sector or group, and it lists exactly what values you can use for filtering before your main query. It’s a pre-check that keeps things accurate.

The server touches agricultural statistics like crop yields and livestock production numbers. Your agent uses built-in guardrails, ensuring the data is validated before your client executes any action.

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