Kubit

- Explore available schemas and data models— Ask your AI to list accessible schemas withgetUserContextand inspect events, properties, and dimensions usinggetSchema.
- Create analytical reports via conversation— Describe a business question and have the assistant generate and execute a query throughcreateReport.
- Export report data as CSV— Request raw data from an existing report usinggetRawDatafor external analysis.
- Find existing reports and dashboards— Search across your organization’s saved content withsearchKubitbefore building new analyses.

Warehouse-native analytics meets conversational AI

Bring the full power of Kubit directly into your AI workflow. Query, analyze, and explore your data warehouse through natural language—no complex syntax required.

The Kubit MCP (Model Context Protocol) server transforms how teams interact with their analytics platform. By connecting your AI assistant to Kubit, you can:

- Explore schemas- Discover events, properties, and dimensions in natural language
- Generate reports- Create analytical queries through conversation
- Export data- Pull raw data in CSV format for deep analysis
- Search content- Find existing reports and dashboards instantly
- Ask questions- Get insights without learning query syntax

This server is under active development. You may encounter bugs, performance issues, or rate limits as we continue to improve the platform.

Setting up the Kubit MCP server is straightforward:
- Add the MCP serverto your AI client configuration
- Use the server URL:https://mcp.kubit.ai/mcp
- Complete OAuth authenticationwhen prompted
- Start queryingyour Kubit data

Note:Check your AI client's documentation for specific MCP server setup instructions.

The server usesOAuth 2.0authentication and respects your existing Kubit permissions. You'll only see data from schemas you already have access to—no additional permissions needed.

Your AI assistant gains access to five powerful tools:

"Show me conversion funnel for mobile app sign-ups in the last quarter" "What are the most popular features used by premium users?" "How has user retention changed month-over-month?"

"What are the top events by volume this week?" "Show me user engagement trends for the last 30 days" "Compare conversion rates across different traffic sources"

"What events and properties are available in the mobile app schema?" "Show me all custom properties for the checkout event" "What dimensions can I use for user segmentation?"

Here's how most analysis sessions flow:

Initialize → Explore → Search → Create → Export

- Initialize- CallgetUserContextto see available schemas
- Explore- UsegetSchemato understand events and properties
- Search- ChecksearchKubitfor existing analyses
- Create- Generate new reports with custom queries
- Export- PullgetRawDatafor external analysis

Be Specific
Include time ranges, events, and segments in your questions.

- "Show me users" + "Show me active users in the US who signed up last month"

Provide Context
Explain what you're trying to understand.

- "What's the conversion rate?" + "What's the conversion rate from free trial to paid for users who engaged with feature X?"

Reference Schemas
Use schema names when working with multiple data sources.

- "Show me sign-up events" + "In the mobile_events schema, show me sign-up events"

Break It Down
Complex analyses work better as multiple focused questions.

- "Show me everything about user behavior across all channels with retention and conversion" + Start with "Show me user retention by channel" then follow up

- UsesearchKubitfirst- Leverage existing analyses before creating new reports
- Specify date ranges- Narrow time windows improve query performance
- Export selectively- Only usegetRawDatawhen you need detailed external analysis

Authentication Failures
Verify your Kubit credentials and organization name

No Schemas Available
Check that you have access to at least one schema in Kubit

Connection Errors
Confirm you're using the correct server URL:https://mcp.kubit.ai/mcp

Report Generation Issues
Verify the schema and events you're referencing exist usinggetSchema

- Test with simple queries first to verify your connection
- Check schema access through the Kubit web interface
- UsegetSchemato confirm available events and properties

Documentation
docs.kubit.ai- Complete platform documentation

About Kubit
kubit.ai- Learn more about warehouse-native analytics

MCP Protocol
modelcontextprotocol.io- Explore the Model Context Protocol

Interact with AskTable SaaS or local deployments to query data sources using natural language.