How to Use the USDA NASS MCP in Claude Code

Q: How do I manage parameters using USDA NASS and Claude Code?

You use the getparamvalues tool in a script. It outputs all available filter values—like group or commodity descriptions—which your script can then read and incorporate into subsequent queries.

Q: Can I combine crop and livestock data using Claude Code?

Yes. You run the getcropsummary command for CORN, capture that output, and then initiate a separate command running getlivestocksummary for CATTLE. Both results appear sequentially in your terminal log.

Run USDA NASS queries headlessly from any terminal or CI/CD pipeline using Claude Code.

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Connect USDA NASS MCP to Claude Code

Create your Vinkius account to connect USDA NASS to Claude Code 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 Claude Code

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Automate Data Retrieval with the MCP Server

Claude Code lets you run commands that pull data directly. You can script a job to call `get_quick_stats`, passing parameters like sector, commodity, and year via standard input or environment variables. The output is raw data you can pipe into other tools. This makes it ideal for CI/CD pipelines where fetching fresh USDA NASS data needs to be part of the deployment workflow.

Run Multi-Step Data Lookups

Need a sequence? You can chain commands: first run `get_param_values` to get valid state codes, then use those codes in subsequent calls to `search_by_commodity`. The terminal executes this multi-step process without manual intervention. This scripted approach guarantees that every step of the data gathering process is logged and retrievable.

Get Detailed Crop or Demographic Stats

You can execute specific queries like `get_crop_summary` for WHEAT, filtering by a state code. Alternatively, run `get_demographics_data` to pull population statistics. Both tools are exposed via the MCP Server command line interface. The result is always clean, machine-readable output perfect for passing into shell scripts or other backend processes.

Setup guide

Set up USDA NASS MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see usda-nass-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest USDA NASS transactions." It will automatically discover and invoke the available USDA NASS tools.

Terminal

claude mcp add --transport http usda-nass-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

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Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the USDA NASS MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

{
  "mcpServers": {
    "usda-nass-mcp": {
      "type": "url",
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

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 Claude Code

You use the `get_param_values` tool in a script. It outputs all available filter values—like group or commodity descriptions—which your script can then read and incorporate into subsequent queries.

Yes. You run the `get_crop_summary` command for CORN, capture that output, and then initiate a separate command running `get_livestock_summary` for CATTLE. Both results appear sequentially in your terminal log.

The server handles agricultural statistics ranging from commodity yields and livestock counts to farm economics and general demographics. The `search_by_commodity` command covers this breadth.

It's perfect. Since it runs headless, you can integrate the MCP Server call directly into a cron job or scheduled workflow that needs to pull fresh data without needing a graphical interface.

This server deals only with aggregated historical statistical records spanning sectors like CROPS and ANIMALS & PRODUCTS. The output is for large-scale analysis, not individual identification.

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