4,000+ servers built on vurb.ts
Vinkius
Unlock for AI Agents

ERS USDA (Economic Research) MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 7 tools to Get Arms Categories, Get Arms Farmtypes, Get Arms Reports, and more

MCP Inspector GDPR Free for Subscribers

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect ERS USDA (Economic Research) through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Ask AI about this MCP Server for OpenAI Agents SDK

Open in ChatGPT Open in Claude Open in Perplexity

The ERS USDA (Economic Research) MCP Server for OpenAI Agents SDK is a standout in the Data Analytics category — giving your AI agent 7 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
python
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="ERS USDA (Economic Research) Assistant",
            instructions=(
                "You help users interact with ERS USDA (Economic Research). "
                "You have access to 7 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from ERS USDA (Economic Research)"
        )
        print(result.final_output)

asyncio.run(main())
ERS USDA (Economic Research)
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 ERS USDA (Economic Research) MCP Server

Connect to the USDA Economic Research Service (ERS) and query the Agricultural Resource Management Survey (ARMS) directly. This server provides comprehensive access to the primary source of information on the financial condition, production practices, and resource use of America's farm businesses.

The OpenAI Agents SDK auto-discovers all 7 tools from ERS USDA (Economic Research) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries ERS USDA (Economic Research), another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

  • Survey Data Retrieval — Fetch detailed financial and production data from U.S. farms using specific years, reports, or variables.
  • Geographic Analysis — List all available ARMS States and retrieve metadata specific to regional agricultural economies.
  • Historical Trends — Access all available survey years to perform longitudinal analysis of farm income and expenses.
  • Variable Metadata — Inspect detailed definitions and metadata for variables used in the ARMS dataset to ensure accurate data interpretation.
  • Farm Classification — Query specific farm types and categories (like farm typology or operator households) to segment your research.

The ERS USDA (Economic Research) MCP Server exposes 7 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 7 ERS USDA (Economic Research) tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to ERS USDA (Economic Research) through Vinkius, your AI agent gets direct access to every tool listed below — spanning agriculture, economic-data, survey-data, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

get

Get arms categories on ERS USDA (Economic Research)

List ARMS categories and subcategories

get

Get arms farmtypes on ERS USDA (Economic Research)

Get all ARMS Farm Types

get

Get arms reports on ERS USDA (Economic Research)

Get available ARMS reports and variables

get

Get arms states on ERS USDA (Economic Research)

Get all ARMS States and available metadata

get

Get arms surveydata on ERS USDA (Economic Research)

S. farms. Requires year AND at least one of report or variable. Retrieve ARMS survey results

get

Get arms variables on ERS USDA (Economic Research)

Get detailed metadata for ARMS variables

get

Get arms years on ERS USDA (Economic Research)

Get all available ARMS years

Connect ERS USDA (Economic Research) to OpenAI Agents SDK via MCP

Follow these steps to wire ERS USDA (Economic Research) into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install the SDK

Run pip install openai-agents in your Python environment
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Run the script

Save the code above and run it: python agent.py
04

Explore tools

The agent will automatically discover 7 tools from ERS USDA (Economic Research)

Why Use OpenAI Agents SDK with the ERS USDA (Economic Research) MCP Server

OpenAI Agents SDK provides unique advantages when paired with ERS USDA (Economic Research) through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

ERS USDA (Economic Research) + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the ERS USDA (Economic Research) MCP Server delivers measurable value.

01

Automated workflows: build agents that query ERS USDA (Economic Research), process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries ERS USDA (Economic Research), another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through ERS USDA (Economic Research) tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query ERS USDA (Economic Research) to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for ERS USDA (Economic Research) in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with ERS USDA (Economic Research) immediately.

01

"Show me all available years for the ARMS survey data."

02

"Get the income statement survey data for the year 2022."

03

"List the different farm types available in the ERS ARMS dataset."

Troubleshooting ERS USDA (Economic Research) MCP Server with OpenAI Agents SDK

Common issues when connecting ERS USDA (Economic Research) to OpenAI Agents SDK through Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

ERS USDA (Economic Research) + OpenAI Agents SDK FAQ

Common questions about integrating ERS USDA (Economic Research) MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

Explore More MCP Servers

View all →
EPA AirNow

EPA AirNow

3 tools

Monitor localized air quality indices and critical environmental forecasts directly from the Environmental Protection Agency.

LeadDyno

LeadDyno

9 tools

Empower your AI to process LeadDyno affiliate links, manage program members, and track generated commission sales instantly.

Mitto

Mitto

27 tools

Automate SMS messaging and 2FA verification via Mitto — send single or bulk messages, verify OTPs, and lookup phone numbers directly from your AI agent.

AppsFlyer (Pull API)

AppsFlyer (Pull API)

7 tools

Retrieve raw and aggregate attribution data from AppsFlyer — track installs, events, and performance via AI.