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Develop and manage Tencent CloudBase applications: deploy cloud functions and CloudRun services, query and manage NoSQL/MySQL databases, call AI models (DeepSeek, Hunyuan, etc.), handle authentication and storage, and integrate WeChat Mini Programs — all via MCP.
npx claudepluginhub tencentcloudbase/cloudbase-mcp --plugin cloudbaseUse this skill for Node.js backend AI via @cloudbase/node-sdk (>=3.16.0) — cloud functions, CloudRun, Express, Koa, NestJS, serverless APIs, scheduled jobs, LLM proxies. Only SDK supporting image generation (ai.createImageModel + generateImage). Text models via ai.createModel with groups cloudbase, hunyuan-exp, or custom-*. Model IDs (deepseek-v4-flash, deepseek-v3.2, hunyuan-2.0-instruct-20251111, glm-5, kimi-k2.6) go in the model field of generateText/streamText. MUST run two-step preflight before code — see body. Keywords: backend, 云函数, 云托管, serverless, LLM proxy, agent orchestration, generateText, streamText, generateImage, createModel, hunyuan-image, Token Credits, TokenHub, Hunyuan, DeepSeek, GLM, Kimi, MiniMax. NOT for browser/Web (use ai-model-web) or Mini Program (use ai-model-wechat).
Use this skill when a browser/Web app (React, Vue, Angular, Next, Nuxt, static sites, SPAs, dashboards, AI chat UI) needs AI models via @cloudbase/js-sdk. Default routing for page/页面/Web/前端/frontend/网页/H5 AI — call directly from browser, do NOT propose a Node.js proxy. Covers generateText and streamText. Models via ai.createModel with groups cloudbase, hunyuan-exp, or custom-*. Model IDs (deepseek-v4-flash, deepseek-v3.2, hunyuan-2.0-instruct-20251111, glm-5, kimi-k2.6) go in the model field. MUST run two-step preflight before code — see body. Keywords: 页面, Web, 前端, React, Vue, Next, Nuxt, SPA, AI chat UI, generateText, streamText, createModel, hunyuan-exp, Token Credits, TokenHub, Hunyuan, DeepSeek, GLM, Kimi, MiniMax. NOT for Node.js backend (use ai-model-nodejs), Mini Program (use ai-model-wechat), or image generation (Node SDK only).
Use this skill for WeChat Mini Program AI via wx.cloud.extend.AI (小程序, 企业微信小程序, wx.cloud apps). Features generateText and streamText with callbacks (onText, onEvent, onFinish). Models via wx.cloud.extend.AI.createModel with groups hunyuan-exp (小程序成长计划), cloudbase (main managed), or custom-*. Model IDs (deepseek-v4-flash, deepseek-v3.2, hunyuan-2.0-instruct-20251111, glm-5, kimi-k2.6) go in the data wrapper model field. API differs from JS/Node SDK — streamText needs data wrapper, generateText returns raw response. MUST run two-step preflight before code — see body. Keywords: Mini Program AI, wx.cloud.extend.AI, 小程序成长计划, ai_miniprogram_inspire_plan, Token Credits 资源包, generateText, streamText, createModel, hunyuan-exp, TokenHub, Hunyuan, DeepSeek, GLM, Kimi, MiniMax. NOT for browser/Web (use ai-model-web), Node.js backend (use ai-model-nodejs), or image generation (use ai-model-nodejs).
CloudBase Node SDK auth guide for server-side identity, user lookup, and custom login tickets. This skill should be used when Node.js code must read caller identity, inspect end users, or bridge an existing user system into CloudBase; not when configuring providers or building client login UI.
CloudBase auth provider configuration and login-readiness guide. This skill should be used when users need to inspect, enable, disable, or configure auth providers, publishable-key prerequisites, login methods, SMS/email sender setup, or other provider-side readiness before implementing a client or backend auth flow.
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Tencent CloudBase MCP Server - AI-powered development toolkit for building and deploying full-stack applications, mini-programs, and cloud functions to Tencent CloudBase platform
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Firebase platform expert for Firestore, Auth, Functions, and Vertex AI integration
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Tencent CloudBase MCP Server - AI-powered development toolkit for building and deploying full-stack applications, mini-programs, and cloud functions to Tencent CloudBase platform
CloudBase Sites — create, save, deploy, and inspect React/Vite web apps hosted on Tencent CloudBase. Inspired by Codex Sites' two-stage save→deploy pattern; powered by cloudbase-mcp.

🪐 AI 编程,一键上线
连接 AI IDE 与腾讯云 CloudBase 的部署桥梁,让你的 AI 应用即刻上线
💡 像 Vercel + Supabase,但全程 AI 驱动——从提示词直达生产环境
English · 简体中文 · [文档][docs] · [更新日志][changelog] · [反馈问题][github-issues-link]
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⭐ 喜欢这个项目?点个 Star,新版本发布时你会收到通知~
发现了一个让 AI 编程一键上线的神器,推荐给正在用 AI 编程的朋友
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从 AI 提示词到应用上线的最短路径
AI 编程工具(如 OpenClaw、Cursor、CodeBuddy)解决了代码生成的难题。
但是,从"生成代码"到"应用上线"(部署、配置数据库、CDN、域名),依然存在一条鸿沟。
CloudBase MCP(原 CloudBase AI ToolKit)填补了这条鸿沟。
你不再需要:
你只需要在 AI IDE 中,用自然语言完成从"想法"到"上线"的全过程。
在支持 MCP 的 AI IDE 中(Cursor、WindSurf、CodeBuddy 等)添加下方任一配置即可。连接方式有两种:
含义:MCP 服务在你本机通过 npx 启动,与 IDE 同机运行。
优点:功能最全(包含上传/下载、模板安装等依赖本地文件系统的能力)。
要求:本机已安装 Node.js,且能执行 npx。
{
"mcpServers": {
"cloudbase": {
"command": "npx",
"args": ["@cloudbase/cloudbase-mcp@latest"]
}
}
}
含义:MCP 服务运行在腾讯云上,IDE 通过 HTTP 连接云端服务,无需在本地安装或运行 Node。 优点:不依赖本机环境,配置好密钥即可使用。 限制:部分依赖本地文件系统的能力不可用(如本地文件上传、模板下载到本机等)。
将下面配置中的 <env_id>、<腾讯云 Secret ID>、<腾讯云 Secret Key> 替换为你的环境 ID 和腾讯云 API 密钥:
{
"mcpServers": {
"cloudbase": {
"type": "http",
"url": "https://tcb-api.cloud.tencent.com/mcp/v1?env_id=<env_id>",
"headers": {
"X-TencentCloud-SecretId": "<腾讯云 Secret ID>",
"X-TencentCloud-SecretKey": "<腾讯云 Secret Key>"
}
}
}
}
含义:在自有服务器上运行 MCP 服务,通过环境变量 CLOUDBASE_MCP_CLOUD_MODE=true 启用云端模式。
适用场景:需要在远程服务器上自行部署 MCP 服务端,对外提供 Streamable HTTP 接口。
安全机制:启用 Cloud Mode 后,所有涉及本地文件系统读写和本地进程启动的工具将自动禁用,确保远程调用方无法操作服务器本地资源。
# 启用云端模式的环境变量(二选一)
export CLOUDBASE_MCP_CLOUD_MODE=true
# 或
export MCP_CLOUD_MODE=true
Cloud Mode 下被禁用的工具包括:downloadRemoteFile、downloadTemplate、manageCloudRun(本地运行)、manageApps(本地代码上传部署)、manageStorage(本地文件上传/下载)、createFunction(本地代码上传)等涉及本地文件 I/O 的操作。
[!IMPORTANT] 部署模式选择建议:
- 个人开发:使用本地模式(
npx),功能最全- 团队协作 / 远程服务:使用腾讯云托管模式(方式二),免运维
- 自建服务器:务必设置
CLOUDBASE_MCP_CLOUD_MODE=true,禁用本地文件操作类工具
托管模式可选:通过 URL 控制插件启用范围
在 url 里可通过 query 参数控制插件启用范围:
enable_plugins:仅启用指定插件,多个插件使用逗号分隔,例如只启用 env 和 databasedisable_plugins:从默认插件集合中禁用指定插件,多个插件使用逗号分隔,例如禁用 rag 和 env# 只启用指定插件
https://tcb-api.cloud.tencent.com/mcp/v1?env_id=YOUR_ENV_ID&enable_plugins=env,database
# 禁用指定插件
https://tcb-api.cloud.tencent.com/mcp/v1?env_id=YOUR_ENV_ID&disable_plugins=rag,env
当前可配置的插件名以 mcp/src/server.ts 为准,建议优先使用 canonical 名称:env, database, functions, hosting, storage, setup, rag, download, gateway, cloudrun, app-auth, permissions, logs, agents, invite-code, capi, apps。
[!TIP] 推荐使用 CloudBase AI CLI
一键安装,自动配置,支持多种 AI 编程工具:
npm install @cloudbase/cli@latest -g安装后运行
tcb ai即可开始使用
登录云开发
登录云开发
AI 会自动打开登录界面并引导环境选择
开始开发
做一个双人在线对战五子棋网站,支持联机对战,最后进行部署
AI 会自动生成代码、部署到云端并返回访问链接