How to Use the ERS USDA (Economic Research) MCP in Claude Code

Run headless agricultural data queries in your terminal with Claude Code.

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Connect ERS USDA (Economic Research) MCP to Claude Code

Create your Vinkius account to connect ERS USDA (Economic Research) 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 ERS USDA (Economic Research) with Claude Code

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Headless data pipelines with Claude Code

Use `get_arms_surveydata` in your shell scripts to pull financial metrics into your CI/CD pipeline. This MCP Server runs as a standard process, making it ideal for automated reporting. Output from the tool is raw JSON, ready for pipes or further processing. It fits into your existing terminal workflow without requiring a GUI.

Automate state reports

Claude Code can iterate through `get_arms_states` to pull data for every region in your study. It automates the collection process, saving hours of manual shell interaction. You can script this to run on a schedule. It handles the API handshake, allowing your terminal to focus on the data analysis itself.

Verify survey metadata from the CLI

Access `get_arms_years` to confirm the availability of historical data before running your main jobs. This prevents failed requests in your automated scripts. It provides a quick way to check if your target variables exist in the current reports. The CLI integration makes this a standard part of your dev environment.

Setup guide

Set up ERS USDA (Economic Research) 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 ers-usda-economic-research-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest ERS USDA (Economic Research) transactions." It will automatically discover and invoke the available ERS USDA (Economic Research) tools.

Terminal

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

Get your connection token →

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 ERS USDA (Economic Research) 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": {
    "ers-usda-economic-research-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 ERS USDA. 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 ERS USDA (Economic Research) MCP in Claude Code

Use the command-line interface to add the server via the transport URL. Once added, verify the registration with the list command.

Yes, the server supports standard transport protocols. It is built to run in headless environments like Docker containers or GitHub Actions.

It is designed for it. The tools output clean JSON that you can pipe into jq or any other terminal-based data tool.

It reads the key from your environment variables. It does not write the key to any configuration files or logs on your disk.

The server operates locally on your machine. Your requests go directly to the USDA endpoints, and the server does not log your specific search parameters.

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