Kubit

ai.kubit由 kubit.ai 發布官方發布者v1.0.1更新於 Oct 24, 2026

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

已驗證Streamable HTTP可網頁執行資料庫資料與分析

概覽

AI 產生的概覽

將 AI 助理連接到 Kubit 的倉儲原生分析平台，讓它能用自然語言探索結構、產生報表並匯出資料。

可以做什麼
此伺服器提供五個工具：getUserContext 初始化工作階段並列出可用的 schema，getSchema 探索事件、屬性和維度，createReport 產生並執行分析查詢，getRawData 從現有報表匯出 CSV 資料，searchKubit 在組織內尋找報表和儀表板。它是遠端託管端點，助理直接查詢 Kubit，不需要在本機執行任何程式。
適用情境
適合已使用 Kubit 進行分析的團隊，希望助理不必撰寫查詢語法就能回答產品、漏斗、留存或參與度問題。也方便在建立新分析前先了解有哪些事件和屬性可用。
執行需求
需要遠端 MCP 端點 MCP 的用戶端、有效的 Kubit 組織帳號，以及該工作區中的 schema 存取權限。驗證方式為 OAuth 2.0，會在提示時以互動方式完成；未宣告 API 金鑰或環境變數。
安裝前請注意
此伺服器仍在測試階段，可能出現錯誤、效能問題或速率限制。查詢資料會由第三方 AI 模型處理，請先確認組織允許對這類資料進行 AI 輔助分析。存取權限沿用 Kubit 現有權限，且 getRawData 會將資料匯出至平台之外。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Kubit，將其新增到工作區。
  2. 連接 所需的 憑證。它們會被私密儲存，絕不會在公開頁面上展示。
  3. 為需要使用其工具的對話啟用該服務。

Web executable，透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。

交給代理程式安裝

把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式，或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南，先向你展示發布者、端點和登入方式，經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。

閱讀 https://sourceweft.com/mcp/ai.kubit%2Fmcp-server/install.md，並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前，先告訴我它的發布者、端點和登入方式，等我確認。不要把 API 金鑰寫進命令或我會提交的檔案；問我金鑰應從哪裡取得。

檢視代理程式所依據的安裝指南

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。 客戶端會在首次連接時完成 OAuth 登入。

{
  "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

來源：README.md，提交 cc4d3d9

工具

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版本歷史

1
  1. v1.0.1最新Sep 16, 2026

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