How to Use the Looker (Business Intelligence & Data) MCP in Cursor

Q: How does Cursor use Looker (Business Intelligence & Data) to write better code?

Your AI agent calls runinlinequery to fetch real schemas and data directly into your active file. This eliminates the guesswork when writing data visualization components in Cursor.

Q: What tools are available for searching dashboards?

You can use listdashboards to list all available reports, or searchcontent to find specific dashboards by name or folder.

Feed live Looker BI metadata and query results directly into your code using Cursor agent mode.

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Connect Looker (Business Intelligence & Data) MCP to Cursor

Create your Vinkius account to connect Looker (Business Intelligence & Data) to Cursor 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 Looker (Business Intelligence & Data) with Cursor

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Claude

Perplexity

Generate Code with Live BI Context

The Looker MCP Server gives your editor direct access to `run_inline_query` so your AI agent can write code using actual data schemas. You do not have to write code against fake stubs or outdated API documentation. Your agent pulls the exact dimensions and measures from your Looker model to write precise API integrations. This keeps your front-end code perfectly in sync with your data warehouse definitions.

Inspect BI Assets inside Cursor

Running `get_dashboard` and `get_look` inside Cursor lets you audit the exact query logic backing your company's reports. You can quickly verify if a metric in your code matches the official business definition. The editor uses these tools to pull down the underlying JSON structures of your BI assets. Having this context inline makes it easy to refactor data pipelines or debug broken dashboard tiles.

Find and Map Folders and Looks

Navigating your instance is fast with `list_folders` and `list_looks` mapping the hierarchy of your saved reports. You avoid context switching to a browser tab just to grab a folder ID. When you need to locate a specific report, `search_content` scans your entire Looker instance. The tool returns precise metadata targets that you can immediately reference in your code.

Setup guide

Set up Looker (Business Intelligence & Data) MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the Looker (Business Intelligence & Data) MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent Looker (Business Intelligence & Data) transactions." If the MCP tools are loaded correctly, Cursor will call the Looker (Business Intelligence & Data) tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "looker-business-intelligence-data-mcp": {
      "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 Looker. 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 Looker (Business Intelligence & Data) MCP in Cursor

Your AI agent calls `run_inline_query` to fetch real schemas and data directly into your active file. This eliminates the guesswork when writing data visualization components in Cursor.

You add the credentials to your local settings file. The MCP Server configuration becomes active the moment you start Cursor agent mode.

Yes. The MCP integration allows you to execute dynamic queries against your Looker models directly from the chat pane.

You can use `list_dashboards` to list all available reports, or `search_content` to find specific dashboards by name or folder.

Your Looker BI metadata, dashboards, looks, and query results are transmitted over an encrypted local stdio transport. Our MCP Server architecture protects your credentials and keeps data localized to your active session.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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