Cube.dev MCP, Ready to Go
Connect your AI agents to Cube.dev via Vinkius to query semantic data, inspect SQL, and manage pre-aggregations for accurate data metrics.
No credit card required. Experience the power of this integration risk-free.
Query your semantic layer for consistent data metrics.
Works with every AI agent you already use
…and any MCP-compatible client
How fast is the Cube.dev MCP Server?
Average time for the server to become ready for requests over the last 13 days, measured until the initialize / tools/list handshake completes. Metrics are updated daily between 00:00 and 04:00 UTC. Create a free account, use this MCP on Vinkius Cloud, and connect it to your AI agent in seconds.
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What AI agents can do with Cube.dev 15 Semantic Layer Querying Tools
Query your semantic layer, inspect SQL, and manage pre-aggregations using these 15 tools.
Execute cube sql
Run a raw SQL query against the SQL API for deep data investigation.
Get pre aggregation job status
Check the progress of your background pre-aggregation builds.
Get sql
View the SQL generated by a Cube query to see exactly how the data is being fetched.
List data sources
See a list of all configured data sources in your Cube instance.
List deployments
View all your Cube Cloud deployments if you have the correct API key.
List entities
See a complete list of all cubes and views available in your model.
List environments
See the different environments for a specific deployment using Cube Cloud.
Load query
Fetch aggregated data results based on your defined measures and dimensions.
Trigger pre aggregation job
Start a new pre-aggregation build to keep your dashboard performance high.
Check live
Verify if your current Cube deployment is live and reachable.
Check ready
Confirm that your Cube deployment is fully initialized and ready for queries.
Convert query
Turn a raw SQL query into the correct REST API query format.
Generate meta token
Create a JWT for the Metadata API when working with Cube Cloud.
Get entity
Grab detailed metadata for a specific cube or view to understand its structure.
Get meta
Retrieve the metadata for all cubes and views to see your whole data model.
One MCP enables access. Vinkius turns MCPs into production-ready infrastructure.
You're looking at one of 5,700+ managed MCPs. The real value isn't the catalog. It's the control plane that secures, governs, audits, and manages every interaction between your agents and the tools they use.
No Shadow AI
Every agent action is visible, approved, and auditable. Nothing runs outside your governance.
Absolute agent control
Fine-grained permissions for every agent, MCP, and tool. Instantly revoke access and audit every execution.
Cost control per token
Spend broken down to the token, tool, and agent. Budgets and hard limits. No surprise invoices.
Managed & monitored infra
We operate the runtime, authentication, scaling, retries, and monitoring. Your team manages AI, not infrastructure.
Data protection, DLP by design
Sensitive data is filtered before reaching the model. Access is governed so agents receive only the information they're allowed to use.
Token optimization, real savings
Lower AI costs by delivering the right context instead of unnecessary tools. Better accuracy, faster responses, and fewer wasted tokens.
Cube.dev Semantic Layer Querying for AI Agents
This is for data professionals who are tired of manually double-checking if an AI-generated query actually matches the company's source of truth. It's for the people who need to move from 'How do I get this data?' to 'What does this data mean?'
Analytics Engineer
Debugging generated SQL and ensuring metric consistency across the company.
Data Engineer
Verifying data models and triggering cache refreshes without leaving the chat interface.
Product Manager
Getting instant answers to business questions without waiting for a data analyst to write a custom query.
Frequently Asked Questions
Can the Cube.dev MCP help my AI agent understand our specific business metrics? +
Yes, it connects your agent to the Cube.dev semantic layer. This means the AI uses your predefined measures and dimensions, ensuring it speaks your company's specific data language.
How does Cube.dev ensure the data my AI agent provides is consistent? +
It pulls data directly from your semantic layer rather than guessing. By using your established business logic, the agent provides consistent numbers every time you ask a question.
Can I use Cube.dev to refresh my data caches using just a chat prompt? +
You can trigger pre-aggregation jobs directly through your chat. This allows you to refresh your data caches and keep your dashboards fast without needing to find the right button in a dashboard.
How can I see the actual queries my AI agent is making to the data warehouse? +
You can ask your agent to show you the generated SQL for any query. This gives you full visibility into how the data is being fetched, which is great for auditing or debugging.
Can Cube.dev help my team explore our data model without writing SQL? +
Yes, the agent can list all your cubes and views and show you the metadata for each. This makes it easy to see what data is available without ever opening a spreadsheet or a SQL editor.
Can I check my Cube Cloud deployment status through my AI client? +
Yes, it can check if your deployment is live and ready. You can quickly verify your infrastructure status through a natural conversation with your agent.
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.
Your AI, connected to everything.
No credit card required · Free tier available
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