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 Google ADK 8 tools — connect in under 2 minutes

Name: USDA NASS
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 8 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add USDA NASS as an MCP tool provider through the Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token — get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="usda_nass_agent",
    instruction=(
        "You help users interact with USDA NASS "
        "using 8 available tools."
    ),
    tools=[mcp_tools],
)

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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 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.

Google ADK natively supports USDA NASS as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 8 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 Google ADK 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 Google ADK via MCP

Follow these steps to integrate the USDA NASS MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 8 tools from USDA NASS via MCP

Why Use Google ADK with the USDA NASS MCP Server

Google ADK provides unique advantages when paired with USDA NASS through the Model Context Protocol.

Google ADK natively supports MCP tool servers — declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with USDA NASS

Production-ready features like session management, evaluation, and deployment come built-in — not bolted on

Seamless integration with Google Cloud services means you can combine USDA NASS tools with BigQuery, Vertex AI, and Cloud Functions

USDA NASS + Google ADK Use Cases

Practical scenarios where Google ADK combined with the USDA NASS MCP Server delivers measurable value.

Enterprise data agents: ADK agents query USDA NASS and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine USDA NASS tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query USDA NASS regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including USDA NASS

USDA NASS MCP Tools for Google ADK (8)

These 8 tools become available when you connect USDA NASS to Google ADK 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 Google ADK

Ready-to-use prompts you can give your Google ADK 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 Google ADK

Common issues when connecting USDA NASS to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

USDA NASS + Google ADK FAQ

Common questions about integrating USDA NASS MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.