Kubit

ai.kubitPublished by kubit.aiOfficial publisherv1.0.1Updated Oct 24, 2026

Bring Kubit into your AI workflow — query your warehouse with natural language

VerifiedStreamable HTTPWeb executableDatabasesData & Analytics

Overview

AI-generated overview

Connects an AI assistant to Kubit's warehouse-native analytics platform so it can explore schemas, build reports, and export data in natural language.

What you can do
The server exposes five tools: getUserContext initializes a session and lists available schemas, getSchema explores events, properties, and dimensions, createReport generates and runs analytical queries, getRawData exports CSV data from existing reports, and searchKubit finds reports and dashboards across the organization. It is a remote, hosted endpoint, so the assistant queries Kubit directly rather than running anything locally.
When to use it
Useful when a team already runs analytics on Kubit and wants an assistant to answer product, funnel, retention, or engagement questions without writing query syntax. It also helps discover which events and properties exist before building new analyses.
Requirements
A remote MCP endpoint at an MCP-compatible client, an active Kubit organization account, and schema access in that workspace. Authentication is OAuth 2.0 and is completed interactively when prompted; no API keys or environment variables are declared.
Before you install
The server is in beta and may show bugs, performance issues, or rate limits. Query data is processed by third-party AI models, so confirm your organization permits AI-assisted analysis of that data. Access follows existing Kubit permissions, and getRawData exports data out of the platform.

Installation

In SourceWeft

  1. Open Kubit in the dashboard and add it to a workspace.
  2. Connect the required credentials. They are stored privately and never shown on public pages.
  3. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/ai.kubit%2Fmcp-server/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config. The client completes OAuth sign-in on first connect.

{
  "mcpServers": {
    "kubit": {
      "type": "http",
      "url": "https://mcp.kubit.ai/mcp"
    }
  }
}

README

Kubit MCP Server

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.

What is Kubit MCP?

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

Beta Notice

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

Quick Start

What You'll Need

RequirementDescription
Kubit AccountActive access to a Kubit organization
AI ClientMCP-compatible tool (Claude, Cursor, etc.)
PermissionsSchema access in your Kubit workspace

Connection Steps

Setting up the Kubit MCP server is straightforward:

  1. Add the MCP server to your AI client configuration
  2. Use the server URL: https://mcp.kubit.ai/mcp
  3. Complete OAuth authentication when prompted
  4. Start querying your Kubit data

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

Authentication & Access

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

Tools & Capabilities

Your AI assistant gains access to five powerful tools:

ToolPurpose
getUserContextInitialize session and retrieve available schemas
getSchemaExplore events, properties, and dimensions in detail
createReportGenerate and execute analytical queries
getRawDataExport CSV data from existing reports
searchKubitFind reports and dashboards across your org

Example Conversations

Understanding User Behavior

"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?"

Product Performance

"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"

Data Discovery

"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?"

Typical Workflow

Here's how most analysis sessions flow:

Initialize → Explore → Search → Create → Export
  1. Initialize - Call getUserContext to see available schemas
  2. Explore - Use getSchema to understand events and properties
  3. Search - Check searchKubit for existing analyses
  4. Create - Generate new reports with custom queries
  5. Export - Pull getRawData for external analysis

Best Practices

Crafting Effective Prompts

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

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

Provide Context
Explain what you're trying to understand.

diff
- "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.

diff
- "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.

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

Performance Optimization

  • Use searchKubit first - Leverage existing analyses before creating new reports
  • Specify date ranges - Narrow time windows improve query performance
  • Export selectively - Only use getRawData when you need detailed external analysis

Security & Compliance

ConsiderationWhat It Means
Permission ModelYou can only access schemas you're authorized to view
AI ProcessingThird-party AI models will process your query data
Policy ReviewConfirm your organization allows AI-assisted data analysis

Troubleshooting

Common Issues & Solutions

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 using getSchema

Need Help?

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

Support & Resources

Documentation
docs.kubit.ai - Complete platform documentation

Customer Success
Contact your Kubit customer success team for assistance

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

MCP Protocol
modelcontextprotocol.io - Explore the Model Context Protocol

Source: README.md at commit cc4d3d9

Tools

0
This server asks you to sign in, so SourceWeft could not read its tools without an account and has not indexed them. What a connected account sees can depend on that account and its permissions.

Version history

1
  1. v1.0.1LatestSep 16, 2026

Score

75% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 daysRequired25 pts
  • Auth declaredRequired10 pts
  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts

    Declare a license in the repository or the registry entry.