How do I get a USDA NASS API key?

Visit [**nass.usda.gov/developer**](https://www.nass.usda.gov/developer/index.php) and register for a free API key. The key is delivered instantly via the web form. It's completely free with no usage cost.

What crops and commodities are available?

The NASS Quick Stats database covers all major US agricultural commodities: CORN, SOYBEANS, WHEAT, COTTON, RICE, SORGHUM, OATS, BARLEY, HAY, PEANUTS, POTATOES for crops; CATTLE, HOGS, CHICKENS, TURKEYS, MILK, EGGS, HONEY for livestock; plus fruit, vegetables, nursery products and many more. Use `get_param_values` with param 'commodity' to see the complete list.

Can I filter data by state and year?

Yes! All query tools support optional state and year parameters. State can be the full name (e.g. 'IOWA') or abbreviation (e.g. 'IA'). Year accepts specific years (e.g. '2024') or ranges. The data returned includes the state, year, commodity, value and unit for each record.

What kind of economic data is available?

The ECONOMICS sector includes: prices received by farmers for crops and livestock, prices paid by farmers (inputs, feed, fuel), farm production expenses, farm real estate values, cash rent for cropland and pasture, and agricultural income data. Use `get_economics_data` to query by commodity, state and year.

USDA NASS MCP Server for Mastra AI 8 tools — connect in under 2 minutes

Name: USDA NASS
Availability: InStock
Author: Vinkius

docs.mastra.ai/docs/agents/mcp-tools

Built by Vinkius GDPR 8 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect USDA NASS through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

typescript

import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "usda-nass": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "USDA NASS Agent",
    instructions:
      "You help users interact with USDA NASS " +
      "using 8 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with USDA NASS?"
  );
  console.log(result.text);
}

main();

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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.

Mastra's agent abstraction provides a clean separation between LLM logic and USDA NASS tool infrastructure. Connect 8 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

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 Mastra AI 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 Mastra AI via MCP

Follow these steps to integrate the USDA NASS MCP Server with Mastra AI.

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.ts and run with npx tsx agent.ts

Explore tools

Mastra discovers 8 tools from USDA NASS via MCP

Why Use Mastra AI with the USDA NASS MCP Server

Mastra AI provides unique advantages when paired with USDA NASS through the Model Context Protocol.

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add USDA NASS without touching business code

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

TypeScript-native: full type inference for every USDA NASS tool response with IDE autocomplete and compile-time checks

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

USDA NASS + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the USDA NASS MCP Server delivers measurable value.

Automated workflows: build multi-step agents that query USDA NASS, process results, and trigger downstream actions in a typed pipeline

SaaS integrations: embed USDA NASS as a first-class tool in your product's AI features with Mastra's clean agent API

Background jobs: schedule Mastra agents to query USDA NASS on a cron and store results in your database automatically

Multi-agent systems: create specialist agents that collaborate using USDA NASS tools alongside other MCP servers

USDA NASS MCP Tools for Mastra AI (8)

These 8 tools become available when you connect USDA NASS to Mastra AI 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