USDA MCP Server

USDA MCP Server

Enables plain English queries about US agricultural data, including historical crop statistics from NASS QuickStats and current cash grain prices from AMS Market News.

Category
Visit Server

README

USDA MCP Server

MCP server that connects USDA's NASS QuickStats and AMS Market News APIs to any MCP-compatible AI model, allowing farmers, researchers, and USDA staff to ask plain English questions about US agricultural data and get accurate, data-backed answers.

Built for the Challenge X Hackathon — Feb 28 to Apr 18, 2026. Team: Root Access


What This Does

Farmers, researchers, and USDA staff can ask plain English questions about US agricultural data and get accurate, data-backed answers — without needing to know what an API is or how to find the data themselves.

Historical data (NASS QuickStats)

  • "What was the corn yield in Iowa in 2022?"
  • "How has soybean production in Illinois trended from 2018 to 2022?"
  • "How many acres of wheat were planted in Kansas in 2021?"
  • "What price did Iowa farmers receive for corn in 2022?"
  • "What was national corn production in 2022?"

Current market prices (AMS Market News)

  • "What is the current corn price in Iowa?"
  • "What is today's soybean price in Illinois?"
  • "Where should I sell my soybeans — iowa, illinois, or nebraska?"
  • "What is the current wheat price in Kansas?"

Tools

The server exposes 4 MCP tools:

Tool Data Source What it does
get_nass_data NASS QuickStats Fast lookup for corn and soybean yield, acreage, production, price received in any state and year
query_nass_flexible NASS QuickStats Any crop, any statistic, multi-year trends, national or county level data
get_ams_price AMS Market News Current cash grain prices by location
get_ams_price_comparison AMS Market News Compare current prices across multiple states to find the best market

Project Structure

usda-mcp/
├── clients/
│   ├── nass_client.py       # NASS QuickStats API wrapper
│   └── ams_client.py        # AMS Market News API wrapper
├── server/
│   ├── main.py              # MCP server — 4 tools
│   ├── security.py          # OWASP MCP Top 10 mitigations
│   └── tools/
│       └── __init__.py
├── tests/
│   └── qa_log.csv           # Q&A evaluation log
├── demo/
│   └── app.py               # Demo interface (planned)
├── logs/
│   └── usda_nass_server.log # Auto-generated server log
├── .env                     # API keys (never committed)
├── .env.example             # Template for API keys
├── requirements.txt         # Pinned dependencies
├── SECURITY.md              # OWASP MCP Top 10 documentation
└── README.md

Setup

1. Clone the repo

git clone https://github.com/RolakeOkans/usda-mcp.git
cd usda-mcp

2. Create a virtual environment

python -m venv .venv
source .venv/bin/activate

3. Install dependencies

pip install -r requirements.txt

4. Create a .env file in the root folder

NASS_API_KEY=your_nass_key_here
AMS_API_KEY=your_ams_key_here

5. Get your API keys

NASS: Register at https://www.nass.usda.gov/developer/index.php

AMS: Register at https://mymarketnews.ams.usda.gov

Both are free and issued within minutes.


Connect to Claude Desktop

Add this to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "usda-nass": {
      "command": "/path/to/your/python",
      "args": ["/path/to/usda-mcp/server/main.py"],
      "env": {
        "NASS_API_KEY": "your_key_here",
        "AMS_API_KEY": "your_key_here"
      }
    }
  }
}

Replace paths with your actual Python and project paths.


Verified Data — NASS QuickStats

All queries tested and confirmed working for Iowa, 2022.

Commodity Statistic Iowa 2022 Result
Corn Area planted 12,900,000 ACRES
Corn Yield 200 BU / ACRE
Corn Production 2,470,000,000 BU
Corn Price received $6.62 / BU
Soybeans Area planted 10,100,000 ACRES
Soybeans Yield 58.5 BU / ACRE
Soybeans Production 586,755,000 BU
Soybeans Price received $14.20 / BU

Verified Data — AMS Market News

Current prices confirmed working as of April 2, 2026.

Commodity Location Price
Corn Minneapolis $4.08 / bu
Soybeans Minneapolis $11.10 / bu
Corn Iowa $4.12 / bu
Corn Texas $4.90 / bu
Soybeans Illinois $11.76 / bu
Wheat Kansas $5.34 / bu

Data Sources

Source What it covers Status
NASS QuickStats Acreage, yield, production, price received — any crop, any state, any year Working
AMS Market News Current cash grain prices at elevators — 19 states + dynamic search Working
AMS Socrata Transportation costs and volumes Stretch goal
ERS Forecasted prices Stretch goal

How It Works

User asks a plain English question
        ↓
AI model reads the question and decides which tool to call
        ↓
MCP server validates and sanitizes the input
        ↓
NASS or AMS API returns the raw data
        ↓
Server scans response for security issues
        ↓
AI model interprets the data and returns a plain English answer
        ↓
All tool calls logged to logs/usda_nass_server.log

Security

This server addresses all 10 OWASP MCP Top 10 risks. See SECURITY.md for full details.

Summary:

  • API keys stored in .env, never committed, redacted from all logs
  • Read-only server — GET requests only, no write access to any USDA system
  • Input sanitization on all tool arguments
  • Rate limiting at 30 requests per minute per tool
  • Prompt injection detection on all API responses
  • Full audit logging of every tool call

Never commit your .env file. It is listed in .gitignore.


Team — Root Access

Role Owner Responsibilities
Data / APIs Morolake API research, NASS client, AMS client, MCP server, security
MCP / AI Layer [Gabriela] AI layer, demo UI
Evaluation / Security [Neyssa] Q&A testing, accuracy metrics

Hackathon

Challenge X+ USDA Timeline: Feb 28 to Apr 18, 2026 Showcase: April 18, 2026

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured