Price Per TokenPrice Per Token

CloudBase MCP Server

by TencentCloudBase

0

About

CloudBase MCP Server is a deployment bridge that connects AI IDEs to Tencent Cloud's CloudBase platform, enabling developers to deploy AI-generated applications directly from natural language prompts without manual DevOps configuration. Key features of CloudBase MCP Server: - One-click deployment from Cursor, WindSurf, CodeBuddy, and other MCP-compatible AI IDEs - Automated provisioning of cloud infrastructure including Cloud Functions, databases, CDN, and domains - Eliminates manual YAML configuration and cloud console navigation - Two deployment modes: local (via npx for full filesystem access) and hosted (HTTP-based, running on Tencent Cloud) - Seamless integration with Tencent Cloud's serverless ecosystem - Supports file upload/download operations and template management in local mode

README

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

English · 简体中文 · [文档][docs] · [更新日志][changelog] · [反馈问题][github-issues-link]

[![][npm-version-shield]][npm-link] [![][npm-downloads-shield]][npm-link] [![][github-stars-shield]][github-stars-link] [![][github-forks-shield]][github-forks-link] [![][github-issues-shield]][github-issues-link] ![][github-license-shield] ![][github-contributors-shield] [![][cnb-shield]][cnb-link] [![][deepwiki-shield]][deepwiki-link] [](https://lobehub.com/mcp/tencentcloudbase-cloudbase-ai-toolkit)

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

[![][share-x-shield]][share-x-link] [![][share-telegram-shield]][share-telegram-link] [![][share-weibo-shield]][share-weibo-link]

从 AI 提示词到应用上线的最短路径

[![][github-trending-shield]](https://github.com/TencentCloudBase/CloudBase-AI-ToolKit)

[](https://docs.cloudbase.net/ai/cloudbase-ai-toolkit/tutorials)

为什么你需要 CloudBase MCP?

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:

  • ❌ 繁琐的 DevOps 配置和 YAML 文件
  • ❌ 手动设置云函数和数据库
  • ❌ 在 IDE 和云控制台之间反复横跳
  • 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。

    目录

  • 🚀 快速开始
  • ✨ 核心特性
  • 📦 安装配置
  • 🎯 使用案例
  • 🧩 MCP 工具
  • 📚 更多资源
  • 🚀 快速开始

    一行配置,立即使用

    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:

    ---

    #### 方式一:本地模式(推荐)

    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"]
        }
      }
    }
    

    ---

    #### 方式二:托管模式

    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 ` 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=",
          "headers": {
            "X-TencentCloud-SecretId": "",
            "X-TencentCloud-SecretKey": ""
          }
        }
      }
    }
    

    托管模式可选:通过 URL 控制启用哪些插件

    url 里加上 query 参数可禁用指定插件,例如禁用 ragenv

    https://tcb-api.cloud.tencent.com/mcp/v1?env_id=YOUR_ENV_ID&disable_plugins=rag&disable_plugins=env
    

    当前可配置的插件名:env, database, functions, hosting, storage, setup, interactive, rag, cloudrun, gateway, download, security-rule, invite-code, capi

    > [!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 > > 查看完整文档 | 详细案例教程

    首次使用

    1. 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

    2. 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

    支持的 AI IDE

    | 工具 | 支持平台 | 查看指引 | |------|----------|----------| | CloudBase AI CLI | 命令行工具 | 查看指引 | | OpenClaw | 命令行工具 | 查看指引 | | Cursor | 独立 IDE| 查看指引 | | WindSurf | 独立 IDE, VSCode、JetBrains 插件 | 查看指引 | | CodeBuddy | 独立 IDE(已内置 CloudBase),VS Code、JetBrains、微信开发者工具| 查看指引 | | CLINE | VS Code 插件 | 查看指引 | | [GitHub Copil

    Related MCP Servers

    AI Research Assistant

    AI Research Assistant

    hamid-vakilzadeh

    AI Research Assistant provides comprehensive access to millions of academic papers through the Semantic Scholar and arXiv databases. This MCP server enables AI coding assistants to perform intelligent literature searches, citation network analysis, and paper content extraction without requiring an API key. Key features include: - Advanced paper search with multi-filter support by year ranges, citation thresholds, field of study, and publication type - Title matching with confidence scoring for finding specific papers - Batch operations supporting up to 500 papers per request - Citation analysis and network exploration for understanding research relationships - Full-text PDF extraction from arXiv and Wiley open-access content (Wiley TDM token required for institutional access) - Rate limits of 100 requests per 5 minutes with options to request higher limits through Semantic Scholar

    Web & Search
    12 8
    Linkup

    Linkup

    LinkupPlatform

    Linkup is a real-time web search and content extraction service that enables AI assistants to search the web and retrieve information from trusted sources. It provides source-backed answers with citations, making it ideal for fact-checking, news gathering, and research tasks. Key features of Linkup: - Real-time web search using natural language queries to find current information, news, and data - Page fetching to extract and read content from any webpage URL - Search depth modes: Standard for direct-answer queries and Deep for complex research across multiple sources - Source-backed results with citations and context from relevant, trustworthy websites - JavaScript rendering support for accessing dynamic content on JavaScript-heavy pages

    Web & Search
    2 24
    Math-MCP

    Math-MCP

    EthanHenrickson

    Math-MCP is a computation server that enables Large Language Models (LLMs) to perform accurate numerical calculations through the Model Context Protocol. It provides precise mathematical operations via a simple API to overcome LLM limitations in arithmetic and statistical reasoning. Key features of Math-MCP: - Basic arithmetic operations: addition, subtraction, multiplication, division, modulo, and bulk summation - Statistical analysis functions: mean, median, mode, minimum, and maximum calculations - Rounding utilities: floor, ceiling, and nearest integer rounding - Trigonometric functions: sine, cosine, tangent, and their inverses with degrees and radians conversion support

    Developer Tools
    22 81