• CATALOGS
  • SCHEMAS
  • LOCATION
  • HUMAN

How to explore Unity Catalog schemas with your AI

Connect your Databricks environment to your AI client once. From there, you can navigate your entire lakehouse structure using natural language.

Ask AI about this page

Short answer

Can my AI find my Databricks schemas?

Yes. Your agent uses the Databricks MCP to pull a list of available catalogs and the schemas contained within them. This lets you pinpoint the right data locations without manual SQL queries.

Discovery outcomes

Where your data discovery lands.

The AI maps out your lakehouse structure so you don't have to hunt for table locations.

CATALOGS

Catalog inventory

The agent identifies every catalog available in your Unity Catalog. You get a clear view of your top-level data organization.

SCHEMAS

Schema mapping

Once a catalog is found, the agent lists all schemas inside it. This narrows down your search to specific logical groupings.

LOCATION

Path confirmation

The AI confirms the exact hierarchy of your data. You'll know exactly which catalog and schema to target for your next task.

HUMAN

Manual verification

You decide which specific data paths are relevant to your work. The AI provides the map, but you choose the destination.

The workflow

What your AI does when you ask for data locations.

The agent moves through your Databricks hierarchy to build a map of your data.

  1. Identify catalogs

    The agent scans your Databricks environment to see what high-level containers exist.

    list_catalogs

  2. Drill into schemas

    After finding a catalog, the agent looks inside to find the specific schemas you need.

    list_schemas

  3. Verify hierarchy

    The agent confirms the relationship between the catalog and the schema to ensure accuracy.

    list_schemas

  4. Report findings

    The agent presents the discovered paths in plain text so you can use them in your prompts.

    list_catalogs

Try it

Copy these to start.

Use these prompts to begin navigating your Databricks data.

Starting points

Replace the bracketed names with your actual Databricks catalog or schema names.

Databricks Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_aLUngwuWdCUusUCfiR78zXA9b27HYNx59jOLRy9C/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 — Databricks capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "databricks-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_aLUngwuWdCUusUCfiR78zXA9b27HYNx59jOLRy9C/mcp"
    }
  }
}
Copy into chat04

  • List all the catalogs available in my Databricks environment.

  • Show me all the schemas inside the 'production_data' catalog.

  • Find the 'sales_records' schema within my main catalog.

  • What catalogs and schemas do I have access to right now?

  • Claude
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  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
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Start here

Connect Databricks once, then ask.

Just link your Databricks account to Vinkius. Your credentials stay encrypted and secure, and you can immediately start asking your AI about your data.

Connect Databricks to your AI

FAQ

How the Databricks discovery works

  • 01

    Can the AI delete my schemas?

    No. This MCP only provides tools to list catalogs and schemas. It cannot modify, delete, or drop any data in your lakehouse.

  • 02

    Does the AI see my actual table data?

    No. The tools used here are limited to listing the structure of catalogs and schemas. The AI doesn't read the rows inside your tables through these specific tools.

  • 03

    Can I use this with any AI client?

    Yes, as long as the client supports the Model Context Protocol (MCP).

  • 04

    Do I need to write SQL to find my data?

    No. You can just ask your agent to find the catalogs or schemas using plain English.

  • 05

    Will the AI suggest which schema to use?

    The AI can show you what is available, but you are the one who decides which schema is the correct one for your specific task.

  • More questions about Databricks? See everything the Databricks Connector can do

Connect Databricks to Claude, Cursor, ChatGPT & more