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How to Use the USDA NASS MCP in Windsurf

Analyze agricultural data on the fly with Windsurf's autonomous agent.

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Connect USDA NASS MCP to Windsurf

Create your Vinkius account to connect USDA NASS to Windsurf 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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Chain USDA NASS Queries with Windsurf

The `get_quick_stats` tool lets you pull broad statistical data using parameters like sector, commodity, and year. Cascade plans the sequence—maybe checking parameter values first with `get_param_values`, then running the full query. It handles complex, multi-step research without needing you to prompt every single step. You just set the goal: 'What was corn production in Iowa in 2019?' Windsurf figures out and executes all the necessary calls against the MCP Server.

Discover USDA NASS Data Scope

Need to know what data exists before you write a query? Use `get_survey_info` to understand which surveys are active and how often they collect information. You can also run `search_by_commodity` for a broad look, pulling together production, acreage, and price stats. This gives you a high-level map of the available data within the USDA NASS MCP Server. It's your intelligence gathering phase before committing to specific API calls.

Retrieve Specific Economic or Crop Data

For deep dives, Cascade can target precise datasets. If you need farm economics, `get_economics_data` handles that; if you're tracking livestock, `get_livestock_summary` works for commodities like CATTLE or HOGS. The agent ensures the correct filters—like state and year—are applied automatically across these tools. It’s built to take a vague goal and deliver structured data from the MCP Server.

Setup guide

Set up USDA NASS MCP in Windsurf

Prerequisites

  • Windsurf IDE installed (macOS, Windows, or Linux)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Open MCP configuration

    Click the Cascade assistant icon in the sidebar, then click the hammer icon (🔨) at the top of the panel. Select "Configure" to open ~/.codeium/windsurf/mcp_config.json.

  2. 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. 3

    Refresh MCPs

    Go back to the hammer icon (🔨) in Cascade and click "Refresh". Windsurf will detect the new server. No full restart is needed — the connection is hot-reloaded.

  4. 4

    Verify in Cascade

    Start a new Cascade conversation and ask something like "Show my USDA NASS payment history." If connected, Cascade will call the USDA NASS tools directly. You will see a green dot next to the server name in the MCP panel.

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

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 Windsurf

Run `get_param_values` first. This tool lets you discover specific values for filters like state, group, or source description before attempting a query. It’s the perfect setup step for any complex data analysis.
Yep. You use `get_crop_summary` for things like WHEAT, and then switch over to `get_livestock_summary` for commodities like CHICKENS or MILK. Both tools draw from the same USDA NASS data source via the MCP Server.
The `get_demographics_data` tool pulls general population statistics. It allows you to filter by state or year, providing context for agricultural trends alongside commodity data.
The `search_by_commodity` function is a broad search. You can filter it using both state and year to pull all available types of statistics—inventory, price, acreage—for an entire set of goods.
This server handles aggregated statistical data on sectors like CROPS and ANIMALS & PRODUCTS. You’re querying historical, public-facing datasets, not private records.

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