How to Use the Data.gov MCP in Claude Code

Q: Can I see how many datasets an agency published?

The getorganization tool returns the exact dataset count for any federal publisher. You can pipe this metric directly into your monitoring stack.

Connect the Claude Code MCP Server to Data.gov to query 300,000+ federal datasets directly from your terminal and automate ingestion.

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Connect Data.gov MCP to Claude Code

Create your Vinkius account to connect Data.gov 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 Data.gov with Claude Code

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Automate federal data ingestion in Claude Code

The `search_datasets` tool lets your terminal query the US government catalog for public records. You run a headless script in your CI/CD pipeline that tells Claude to find the latest climate data. It sorts the federal catalog by metadata_modified and pipes the resulting JSON into your build process. Grabbing the actual files requires the `get_dataset` tool. Claude Code reads the resource list, extracts the download links, and writes a shell script to curl the CSVs. You get fresh federal data synced to your servers every night via a simple cron job.

Map government agencies via MCP Server

The `list_organizations` tool outputs names, descriptions, and contact info for every federal publisher. SREs use this to audit which departments are updating their public records. Claude Code pulls the dataset counts and diffs them against yesterday's logs. Tracking specific sectors relies on `get_group_datasets`. Your terminal agent targets the finance or public-safety groups. It pulls the massive list of dataset titles and organizations, formatting the output exactly how your downstream bash scripts expect it.

Filter messy government data formats

The `list_resource_formats` tool exposes every file type currently hosted by the federal government. Claude Code uses this to build strict filters. You tell it to ignore anything that isn't a clean JSON or GeoJSON endpoint before it starts downloading gigabytes of data. Categorizing the ingestion pipeline happens with the `list_tags` tool. Your CLI agent discovers common federal topics and maps them to your internal database schema. The entire process runs headless in a Docker container without a single click.

Setup guide

Set up Data.gov 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 datagov-mcp with a green status indicator.
3

Start using tools

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

Terminal

claude mcp add --transport http datagov-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 Data.gov 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": {
    "datagov-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 Data.gov. 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 Data.gov MCP in Claude Code

Run the add command in your terminal with your Vinkius URL. Ensure all transport flags come before the server name. Verify the connection with the list command.

You can wrap the CLI agent in a cron job or GitHub Action. It will wake up, search the federal catalog for updated records, and download the new files automatically.

The terminal agent reads the HTTP headers from the federal catalog. If it hits a rate limit, you can script it to back off and retry the dataset fetch later.

The get_organization tool returns the exact dataset count for any federal publisher. You can pipe this metric directly into your monitoring stack.

Vinkius routes your terminal commands through a secure, ephemeral V8 isolate. We pass your dataset queries and agency filters to the federal API without logging them. The zero-trust environment guarantees your internal infrastructure details never leak during the transaction.

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