USDA NASS MCP Server for OpenAI Agents SDK 8 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect USDA NASS through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="USDA NASS Assistant",
instructions=(
"You help users interact with USDA NASS. "
"You have access to 8 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from USDA NASS"
)
print(result.final_output)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About USDA NASS MCP Server
Connect to USDA NASS (National Agricultural Statistics Service) APIs through any AI agent and explore American agriculture data through natural conversation.
The OpenAI Agents SDK auto-discovers all 8 tools from USDA NASS through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries USDA NASS, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
What you can do
- Crop Production — Query yield, production, harvested acres and price data for all major crops (corn, soybeans, wheat, cotton, rice)
- Livestock Data — Retrieve cattle inventory, hog production, poultry statistics, milk and egg production data
- Agricultural Economics — Access prices received/paid by farmers, farm income, production expenses and land values
- Farm Demographics — Explore Census of Agriculture data including operator age, experience, occupation and veteran status
- Parameter Discovery — Discover valid values for any filter parameter (commodities, states, years, units)
- Survey Metadata — Review information about all NASS surveys including frequencies and methodologies
The USDA NASS MCP Server exposes 8 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect USDA NASS to OpenAI Agents SDK via MCP
Follow these steps to integrate the USDA NASS MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 8 tools from USDA NASS
Why Use OpenAI Agents SDK with the USDA NASS MCP Server
OpenAI Agents SDK provides unique advantages when paired with USDA NASS through the Model Context Protocol.
Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
USDA NASS + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the USDA NASS MCP Server delivers measurable value.
Automated workflows: build agents that query USDA NASS, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries USDA NASS, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through USDA NASS tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query USDA NASS to resolve tickets, look up records, and update statuses without human intervention
USDA NASS MCP Tools for OpenAI Agents SDK (8)
These 8 tools become available when you connect USDA NASS to OpenAI Agents SDK via MCP:
get_crop_summary
Requires a commodity name (e.g. CORN, SOYBEANS, WHEAT, COTTON). Optionally filter by state and year. Returns detailed statistics with units, geographic scope and time period. Get crop production summary from USDA NASS
get_demographics_data
Optionally filter by state and year. Sector is automatically set to DEMOGRAPHICS. Get farm demographics data from USDA NASS
get_economics_data
Optionally filter by commodity, state and year. Sector is automatically set to ECONOMICS. Get agricultural economics data from USDA NASS
get_livestock_summary
Requires a commodity name (e.g. CATTLE, HOGS, CHICKENS, MILK, EGGS). Optionally filter by state and year. Get livestock production summary from USDA NASS
get_param_values
Parameters include: sector, group, commodity, commodity_desc, short_desc, source_desc, util_desc, unit_desc, freq_desc, domain_desc, state, county. Use this to discover what values you can filter by before making queries. Get valid values for a Quick Stats parameter
get_quick_stats
Accepts parameters: sector (CROPS, ANIMALS & PRODUCTS, ECONOMICS, DEMOGRAPHICS), commodity, group, commodity_desc, state, year, freq (ANNUAL, MONTHLY), unit_desc, source_desc. Returns statistical data with value, unit, state, year and commodity information. Use get_param_values to discover valid parameter values before querying. Query USDA NASS Quick Stats database
get_survey_info
This is useful for understanding what data is available and how frequently it is collected. Get information about USDA NASS surveys
search_by_commodity
Optionally filter by state, year and sector. This is a broad search that returns all available data for the commodity, including production, price, inventory and acreage statistics. Search Quick Stats by commodity name
Example Prompts for USDA NASS in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with USDA NASS immediately.
"Show me the corn production summary for Iowa in 2024."
"What are the current cattle inventory numbers for Texas?"
"Show me what commodity values are available for filtering."
Troubleshooting USDA NASS MCP Server with OpenAI Agents SDK
Common issues when connecting USDA NASS to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
USDA NASS + OpenAI Agents SDK FAQ
Common questions about integrating USDA NASS MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect USDA NASS with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
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TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect USDA NASS to OpenAI Agents SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.