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How to Use the Cube.dev MCP in Cursor

Inject live metrics and semantic schemas directly into your codebase using this Cursor MCP integration.

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Works with every AI agent you already use

…and any MCP-compatible client

Cube.dev MCP on Cursor AI Code Editor MCP Client Cube.dev MCP on Claude Desktop App MCP Integration Cube.dev MCP on OpenAI Agents SDK MCP Compatible Cube.dev MCP on Visual Studio Code MCP Extension Client Cube.dev MCP on GitHub Copilot AI Agent MCP Integration Cube.dev MCP on Google Gemini AI MCP Integration Cube.dev MCP on Lovable AI Development MCP Client Cube.dev MCP on Mistral AI Agents MCP Compatible Cube.dev MCP on Amazon AWS Bedrock MCP Support
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Connect Cube.dev MCP to Cursor

Create your Vinkius account to connect Cube.dev 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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Code with Live Data in Cursor

`load_query` fetches real aggregated metrics while you write frontend components. Instead of mocking up fake JSON responses for a chart, your agent pulls the actual data structure from the semantic layer. `list_entities` lists all available cubes and views in your project. Cursor reads this list, understands your business logic, and autocompletes the exact dimension names you need for your API calls.

Execute Raw SQL Mid-Flight

`execute_cube_sql` runs raw queries against the SQL API without leaving the editor. When you are writing a custom backend route, you can test the exact syntax against your live semantic layer. `get_sql` returns the underlying database query for debugging. If your new endpoint is slow, you can see exactly how Cube translates your request before you commit the code.

Check Deployments Before Committing

`list_deployments` pulls down every active Cube Cloud instance you have access to. You can verify which staging environment is currently running before you point your local code at it. `check_ready` hits the health endpoint to confirm the deployment is actually accepting traffic. Your MCP agent handles the verification step so you do not waste time testing against a down server.

Setup guide

Set up Cube.dev MCP in Cursor

Prerequisites

  • Cursor installed (macOS, Windows, or Linux)
  • Active Vinkius subscription with a valid endpoint token
  1. 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. 2

    Add the Cube.dev 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. 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. 4

    Verify the connection

    Ask Cursor something like "List my recent Cube.dev transactions." If the MCP tools are loaded correctly, Cursor will call the Cube.dev tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json
{
  "mcpServers": {
    "cubedev-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Cube.dev. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Cube.dev MCP in Cursor

Create an `mcp.json` file in your project root and paste the Vinkius URL. Turn on Agent mode to start querying.
Yes. `trigger_pre_aggregation_job` kicks off a build directly from the chat panel. You can test cache warming logic while writing the code for it.
You might be using an outdated dimension name. Ask the agent to run `get_meta` to check the current schema definitions.
The MCP protocol connects to any reachable Cube API. You can point it at localhost or a production cloud deployment.
The server processes schema definitions and raw SQL queries using your provided credentials. Vinkius executes these requests inside an ephemeral, zero-trust sandbox that terminates the moment the tool call completes.

Start using the Cube.dev MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 15 tools

We've already built the connector for Cube.dev. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 15 tools are live and waiting. You're up and running in seconds.

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