• VALID
  • ERROR
  • RAW
  • HUMAN

How to inspect dataset metadata with your AI

Connect your agent to Data.gov once. From there, it can pull specific harvest records to check if your data ingestion is working correctly.

Ask AI about this page

Short answer

How can I use AI to check Data.gov metadata?

Your agent uses the Data.gov Catalog MCP to pull specific harvest records, either in their raw state or after they have been transformed. This allows you to immediately spot structural errors or ingestion gaps. You'll get a clear view of how your data looks compared to the source.

Where every issue lands.

Data validation outcomes

The AI processes the records and sorts the results into these categories.

VALID

Structure matches

The AI confirms the record schema matches your expectations. You get a clean bill of health for the ingestion.

ERROR

Schema mismatches

The agent identifies where fields are missing or incorrectly formatted. This highlights exactly what needs fixing in your pipeline.

RAW

Original source check

The AI compares transformed data against the original harvest files. This ensures no data was lost during processing.

HUMAN

Manual review needed

When the AI finds ambiguous or corrupted values, it flags them for you. You decide how to handle these edge cases.

The workflow

What your AI does when the data arrives.

The agent handles the heavy lifting of fetching and comparing records so you don't have to manually download files.

  1. Fetch raw data

    The agent pulls the original, untouched harvest records directly from the catalog to establish a baseline.

    get_harvest_record_raw

  2. Pull processed records

    The agent retrieves the version of the data that has already gone through your transformation logic.

    get_harvest_record_transformed

  3. Compare structures

    The agent looks at the specific harvest record to verify that all required fields are present and valid.

    get_harvest_record

  4. Report discrepancies

    The agent summarizes any differences found between the raw source and the transformed output.

    get_harvest_record_rawget_harvest_record_transformed

Try it

Copy these to start.

Use these prompts to begin your inspection.

Starting points

Swap the bracketed text for your specific dataset names or record IDs.

Data.gov Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_f564VZunubaqnMfft1dIIxySnAafP9NKhpaI9WS5/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Data.gov capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "datagov-catalog-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_f564VZunubaqnMfft1dIIxySnAafP9NKhpaI9WS5/mcp"
    }
  }
}
Copy into chat04

  • Get the raw harvest record for the 2023 corn yield dataset and check its structure.

  • Compare the transformed harvest record for wheat production against the raw version.

  • Pull the latest harvest record for soy and tell me if any required fields are missing.

  • Check the metadata for the recent soybean harvest record to verify ingestion.

  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Start here

Connect Data.gov Catalog once, then ask.

Just link your preferred client to the MCP. Your credentials stay encrypted, and you can start asking questions immediately.

Connect Data.gov Catalog to your AI

FAQ

How this task behaves

  • 01

    Can the AI change the data in Data.gov?

    No. The tools only allow the agent to read and retrieve records. It cannot modify the source data.

  • 02

    Can the AI fix my data ingestion pipeline?

    No. The AI identifies errors and reports mismatches, but you must manually fix the code or logic in your pipeline.

  • 03

    Does the AI see the raw data or just the cleaned version?

    It can see both. It uses specific tools to pull either the raw harvest records or the transformed versions.

  • 04

    Can I use this with Claude?

    Yes, as long as you are using an MCP-compatible client like Claude Desktop.

  • 05

    Will the AI tell me if a record is missing?

    Yes. If the agent attempts to fetch a record that doesn't exist, it will report the failure.

  • More questions about Data.gov Catalog? See everything the Data.gov Catalog Connector can do

Connect Data.gov to Claude, Cursor, ChatGPT & more