MCP Server
The Kubit MCP Server is a tool that connects the data warehouse analysis platform with an AI assistant, allowing users to query, explore data patterns, generate reports, export data, and search for existing analysis content through natural language without writing complex query statements.
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What is Kubit MCP Server?
Kubit MCP Server is a bridge that connects your AI assistant (such as Claude, Cursor, etc.) with the Kubit data analysis platform. It enables you to explore data patterns, generate reports, and export data through simple conversations, as naturally as talking to a data analyst.How to use Kubit MCP Server?
Simply add the MCP server configuration to your AI client and complete the OAuth authentication, then you can start querying your Kubit data using natural language. There is no need to write SQL or other query languages throughout the process.Use cases
Suitable for non - technical users such as product managers, market analysts, and operators to quickly obtain data insights; also suitable for data analysts to quickly explore data patterns and generate preliminary reports.Main features
Natural language data exploration
Explore events, attributes, and dimensions in the data warehouse through conversations, without having to remember complex table structures or field names
Intelligent report generation
Automatically create analysis queries and reports based on your description, supporting time range filtering, dimension grouping, and indicator calculation
Data export function
Export the query results in CSV format for further analysis in Excel or other tools
Content search
Quickly find existing reports and dashboards in the organization to avoid duplicate work
Permission inheritance
Automatically inherit your access permissions in the Kubit platform to ensure data security
Advantages
No need to learn SQL or complex query syntax, reducing the usage threshold
Seamlessly integrated with the existing Kubit permission system to ensure data security
Supports natural language interaction, making query expressions more intuitive
Quickly generate visual reports to improve analysis efficiency
Can export raw data for in - depth analysis
Limitations
Currently in the Beta stage, there may be performance issues or functional limitations
Relies on third - party AI models to process queries, so pay attention to data privacy policies
Complex analysis may require multiple conversation interactions
Requires a stable network connection
How to use
Preparation
Ensure that you have a Kubit account and have obtained access permissions to the data schema. Also, prepare an AI client that supports the MCP protocol
Configure the MCP server
Add the MCP server configuration to the AI client and use the server address: https://mcp.kubit.ai/mcp
Complete authentication
Complete the OAuth 2.0 authentication process as prompted to authorize the AI client to access your Kubit data
Start querying
Ask questions to the AI assistant using natural language, and the system will automatically call the corresponding Kubit tools to process your request
Usage examples
User behavior analysis
A product manager wants to understand the user acceptance of a new feature and obtains relevant data through natural language queries
Marketing effectiveness evaluation
Market operators need to evaluate the customer acquisition effectiveness and conversion rates of different channels
Data schema exploration
A newly joined analyst needs to quickly understand the available data fields and indicators
Frequently Asked Questions
Do I need a technical background to use this service?
How is my data security ensured?
Why do I see very few available schemas?
What is the query response speed like?
Which AI clients are supported?
What are the limitations of the Beta version?
Related resources
Kubit official documentation
Complete usage guide and technical documentation for the Kubit platform
Kubit official website
Learn more about the Kubit data warehouse analysis platform
Model Context Protocol
Official documentation and specifications for the MCP protocol
Customer support
Contact your Kubit customer success team for help

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