Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
作者提供的说明(英文原文)
Bring Kubit into your AI workflow — query your warehouse with natural language
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
适用于网页版、桌面版和手机版 Claude:
https://mcp.kubit.ai/mcp在终端中运行这条命令
claude mcp add --transport http kubit https://mcp.kubit.ai/mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"kubit": {
"url": "https://mcp.kubit.ai/mcp"
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"kubit": {
"type": "http",
"url": "https://mcp.kubit.ai/mcp"
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
ChatGPT 只能连接互联网上的服务器:
https://mcp.kubit.ai/mcp菜单名称可能因套餐和版本不同而略有差异。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日
注册名称已通过域名 kubit.ai 验证(注册中心会核实域名所有权)
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
尚未检查;我们会轮流检查各个端点
尚未检查;我们会轮流检查各个端点
尚未检查;我们会在检查端点时读取工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。
GitHub 仓库最后更新于–,最新版本(1.0.1)于3个月前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。
同一分类中有:Spec Driven Development, Remote Desktop Commander, Recta
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Cheaper cross-chain stablecoin routes for AI agents; 5 % of the verified saving, nothing if none.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
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:
Beta Notice
This server is under active development. You may encounter bugs, performance issues, or rate limits as we continue to improve the platform.
| Requirement | Description |
|---|---|
| Kubit Account | Active access to a Kubit organization |
| AI Client | MCP-compatible tool (Claude, Cursor, etc.) |
| Permissions | Schema access in your Kubit workspace |
Setting up the Kubit MCP server is straightforward:
https://mcp.kubit.ai/mcpNote: Check your AI client's documentation for specific MCP server setup instructions.
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.
Your AI assistant gains access to five powerful tools:
| Tool | Purpose |
|---|---|
| `getUserContext` | Initialize session and retrieve available schemas |
| `getSchema` | Explore events, properties, and dimensions in detail |
| `createReport` | Generate and execute analytical queries |
| `getRawData` | Export CSV data from existing reports |
| `searchKubit` | Find reports and dashboards across your org |
"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
getUserContext to see available schemasgetSchema to understand events and propertiessearchKubit for existing analysesgetRawData for external analysisBe Specific Include time ranges, events, and segments in your questions.
- "Show me users"
Provide Context Explain what you're trying to understand.
- "What's the conversion rate?"
Reference Schemas Use schema names when working with multiple data sources.
- "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"
getRawData when you need detailed external analysis| Consideration | What It Means |
|---|---|
| Permission Model | You can only access schemas you're authorized to view |
| AI Processing | Third-party AI models will process your query data |
| Policy Review | Confirm your organization allows AI-assisted data 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 using getSchema
getSchema to confirm available events and propertiesDocumentation 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