How to Use the USDA NASS MCP in Google ADK

Q: How do I get crop production summaries using USDA NASS and Google ADK?

Use the getcropsummary tool. You specify a commodity like CORN, and it returns detailed statistics showing yields, units, state scope, and time periods.

Q: Can I retrieve livestock data using USDA NASS and Google ADK?

Yes. Call getlivestocksummary with the commodity name (e.g., MILK). You can also narrow the results by state or year when running this through your LlmAgent.

Q: What is the best way to search for data using USDA NASS and Google ADK?

Start with searchbycommodity. It's a broad tool that gathers all available stats—production, price, inventory, acreage—for any commodity. This gives Gemini a massive amount of context to work with.

Q: If I need valid input values for filtering, what should I use?

Run getparamvalues. You can pass in the sector or group you care about, and it will list all valid filter values. It's essential to run this before your main query.

Run enterprise USDA NASS queries with Google ADK for Gemini models.

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Connect USDA NASS MCP to Google ADK

Create your Vinkius account to connect USDA NASS to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup USDA NASS with Google ADK

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Analyze Agricultural Economics

Need to understand the market? Your agent uses `get_economics_data` to gather agricultural economic data. You just define a commodity, state, or year, and it automatically sets the sector to ECONOMICS. Because your workflow is running on Google Cloud, this makes handling complex data structures simple for your long-context Gemini model.

Query Diverse Crop Data

From acreage to yields, you can use `get_crop_summary` to pull detailed crop information. Pass in a commodity name—like WHEAT or COTTON—and get the statistics broken down by state and time period. This works perfectly with your Google ADK setup, giving Gemini all the necessary data points for complex reasoning.

Discover Survey Information

Before querying anything, you need to know what's available. Use `get_survey_info`. This tool tells you exactly which USDA NASS surveys exist and how often they collect data. It’s great for planning your agent's sequence of actions. This upfront knowledge prevents wasted queries and keeps your BigQuery pipelines running smoothly.

Setup guide

Set up USDA NASS MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with USDA NASS tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="USDA NASS_agent",
    model="gemini-2.0-flash",
    instruction="You have access to USDA NASS tools via MCP.",
    tools=mcp_tools,
)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by USDA NASS. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about USDA NASS MCP in Google ADK

Use the `get_crop_summary` tool. You specify a commodity like CORN, and it returns detailed statistics showing yields, units, state scope, and time periods.

Yes. Call `get_livestock_summary` with the commodity name (e.g., MILK). You can also narrow the results by state or year when running this through your LlmAgent.

Start with `search_by_commodity`. It's a broad tool that gathers all available stats—production, price, inventory, acreage—for any commodity. This gives Gemini a massive amount of context to work with.

Run `get_param_values`. You can pass in the sector or group you care about, and it will list all valid filter values. It's essential to run this before your main query.

The server accesses agricultural statistics like crop yields and farm demographics. Your agent is designed for enterprise use, ensuring that all actions on these sensitive records are traced and managed within your Google Cloud environment.

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