• LOGIC
  • AUDIT
  • REUSE
  • HUMAN

How to extract SQL query logic with your AI

Connect data.world to your AI client once. After that, your agent can read any saved query definition sitting in your datasets.

Ask AI about this page

Short answer

How can I get my SQL and SPARQL queries into my AI?

Your AI uses the data.world connector to pull saved query definitions from your datasets. It reads the exact SQL or SPARQL code used in those queries so you can analyze or modify them. You'll see the specific logic used for every query in the dataset.

The outcomes

What you get from your queries

The AI pulls the raw logic so you can work with it immediately.

LOGIC

Raw query code

The AI pulls the exact SQL or SPARQL definitions. You get the actual code used to generate your data views.

AUDIT

Logic verification

Your agent reviews the query structure. It identifies how specific filters or joins are being applied to your data.

REUSE

Code translation

The AI reads existing logic to help you rewrite it for different tools or formats. It uses the original definitions as a blueprint.

HUMAN

Manual validation

You review the AI's interpretation of the query. You decide if the extracted logic matches your intended business rules.

The workflow

What your AI does when the query request arrives.

The AI acts as a bridge between your chat interface and your data.world datasets.

  1. Locate queries

    The AI identifies which queries are saved within a specific dataset you point it toward.

    list_dataset_queries

  2. Read definitions

    The agent pulls the specific SQL or SPARQL text for the queries it found.

    list_dataset_queries

  3. Analyze logic

    Your AI parses the code to explain what the joins, filters, and aggregations are actually doing.

    list_dataset_queries

  4. Format output

    The agent presents the code or the explanation in a clean format for your chat window.

    list_dataset_queries

Try it

Copy these to start.

Use these prompts to trigger the extraction process.

Starting points

Replace the dataset names with the actual names of your data.world datasets.

data.world Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_tdQsdtjeyEJe7LirxBqlY8zM7HmSW2F7mw85gNx5/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.world capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "dataworld-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_tdQsdtjeyEJe7LirxBqlY8zM7HmSW2F7mw85gNx5/mcp"
    }
  }
}
Copy into chat04

  • List all the saved SQL queries in my 'Customer_Churn_Data' dataset.

  • Show me the SPARQL query definition used for the 'Global_Sales' dataset.

  • Explain the logic behind the SQL query named 'Monthly_Active_Users' in my marketing dataset.

  • Can you find the query in my 'Inventory_Logs' dataset that filters for low stock items?

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

Start here

Connect data.world once, then ask.

Click the link to authorize the connection. Your credentials stay encrypted, and you can start asking about your queries immediately.

Connect data.world to your AI

FAQ

How the query extraction works

  • 01

    Can the AI change my saved queries?

    No. The AI can only read the existing query definitions. It cannot modify, delete, or overwrite your saved queries in data.world.

  • 02

    Does it work with both SQL and SPARQL?

    Yes. The tool retrieves both SQL and SPARQL query definitions from your datasets.

  • 03

    Can the AI run the queries to give me results?

    No. This specific capability is for extracting the query logic and definitions, not for executing the queries against the data.

  • 04

    How does the AI know which dataset to look at?

    You tell the AI which dataset to access by naming it in your prompt.

  • 05

    Can I use this to find queries in other platforms?

    No. This connector is specifically built for data.world datasets.

  • More questions about data.world? See everything the data.world Connector can do

Connect data.world to Claude, Cursor, ChatGPT & more