Cube.dev MCP Server with 15 Tools for Claude, Cursor, and AI Agents
GDPR Free for SubscribersAccess your Cube semantic layer — execute queries, inspect generated SQL, manage pre-aggregations, and explore data metadata directly. Vinkius routes your AI agents directly to Cube.dev through a governed connection. 15 tools ready to use with Claude, ChatGPT, Cursor, or any AI agent — no hosting, no setup, connect in 30 seconds.
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Compatible with every major AI agent and IDE
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What is the Cube.dev MCP Server?
The Cube.dev MCP Server routes AI agents like Claude, ChatGPT, and Cursor directly to Cube.dev via 15 tools. Access your Cube semantic layer — execute queries, inspect generated SQL, manage pre-aggregations, and explore data metadata directly. Powered by Vinkius — your credentials stay on your side of the connection, every request is auditable. Connect in under 2 minutes.
Built-in capabilities (15)
Tools for your AI Agents to operate Cube.dev
Ask your AI agent "Show me the metadata for all available cubes and views." and get the answer without opening a single dashboard. With 15 tools connected to real Cube.dev data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.
Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by Vinkius — your credentials never touch the AI model, every request is auditable. Connect in under two minutes.
Why teams choose Vinkius
One subscription gives you the infrastructure to connect your AI agents to thousands of MCP servers — and deploy your own to the Vinkius Edge. Your credentials stay yours. Your data flows directly between your agent and the API. DLP blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade routing and governance, zero maintenance.
Build your own MCP Server with our secure development framework →The Cube.dev App Connector works with every AI agent you already use
…and any MCP-compatible client
Use all 15 Cube.dev tools with your AI agents right now
Vinkius routes your AI agents to Cube.dev through a governed proxy. Beyond a simple connection, you get full visibility into every action your agents perform, with enterprise-grade security and up to 60% savings on AI costs.
Check live on Cube.dev
Check if Cube deployment is live
Check ready on Cube.dev
Check if Cube deployment is ready
Convert query on Cube.dev
Convert a SQL query to a REST API query format
Execute cube sql on Cube.dev
Execute a raw SQL query against the SQL API
Generate meta token on Cube.dev
Requires CUBE_CLOUD_API_KEY. Generate a JWT for the Metadata API
Get entity on Cube.dev
Get detailed metadata for a specific entity
Get meta on Cube.dev
Get metadata for cubes and views
Get pre aggregation job status on Cube.dev
Get status of pre-aggregation jobs
Get sql on Cube.dev
Useful for debugging. Get generated SQL for a Cube query
List data sources on Cube.dev
List configured data sources
List deployments on Cube.dev
Requires CUBE_CLOUD_API_KEY. List all Cube Cloud deployments
List entities on Cube.dev
List all cubes and views
List environments on Cube.dev
Requires CUBE_CLOUD_API_KEY. List environments for a deployment
Load query on Cube.dev
Use this to get aggregated data. Execute a Cube query and return results
Trigger pre aggregation job on Cube.dev
Trigger a pre-aggregation build job
What the Cube.dev MCP Server unlocks
Connect your Cube.dev instance to any AI agent to bridge the gap between natural language and your data warehouse. This server allows your agent to interact with Cube's semantic layer, ensuring consistent metrics and high-performance data retrieval.
What you can do
- Data Querying — Execute complex REST API queries using
load_queryto fetch aggregated data with measures, dimensions, and filters. - SQL Inspection — Use
get_sqlandexecute_cube_sqlto debug or run raw queries against the SQL API for deep data investigation. - Metadata Exploration — Retrieve cube definitions, views, and segments via
get_metato understand your data model without leaving the chat. - Performance Management — Trigger and monitor background pre-aggregation builds with
trigger_pre_aggregation_jobto ensure your dashboards stay fast. - Cloud Management — List deployments and environments if using Cube Cloud to manage your infrastructure context.
How it works
1. Subscribe to this server
2. Provide your Cube API URL and Secret Token
3. Start asking questions about your data metrics and model structure
Who is this for?
- Data Engineers — quickly verify data models and trigger cache refreshes via CLI or AI interface.
- Analytics Engineers — debug generated SQL and inspect metadata to ensure metric consistency.
- Product Managers — get instant answers to data questions by letting the AI query the semantic layer directly.
Frequently asked questions about the Cube.dev MCP Server
Can I see the exact SQL that Cube generates for a specific query?
Yes. You can use the get_sql tool. By providing the query JSON, the agent will return the generated SQL string, which is perfect for debugging or verifying your data logic.
How do I refresh the data cache or pre-aggregations using the AI?
You can use the trigger_pre_aggregation_job tool. You can specify which cubes or data sources to target, and the agent will initiate the background build process for you.
Is it possible to explore the available measures and dimensions?
Absolutely. Use the get_meta tool to fetch all metadata. This allows the AI to understand what data is available to be queried, including views and segments.
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We built the connector to Cube.dev. Now put your agents to work. Fully governed.
Vinkius is the AI Gateway with managed hosting. Stop building connectors. Every connection runs inside eight layers of security.
Hosted, sandboxed, and live on AWS. You don't provision anything. You don't maintain anything. You connect.
Every tool call, every token, every response. Logged and auditable. Data flows direct from Cube.dev to your agent. Nothing is stored on our side. Ever.
Eight governance layers on every request. Sensitive data redacted before it reaches the model. Kill switch if anything goes sideways. Always on.