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TencentCloudBase/CloudBase-AI-ToolKit

by Various

CloudBase MCP - Connect CloudBase to your AI Agent. Go from AI prompt to live app.

T

MCP

TencentCloudBase/CloudBase-AI-ToolKit

Added 1 June 2026

#ai #aicoding #cloudbase #cursor #mcp #miniprogram #serverless #supabase

Overview

CloudBase-AI-ToolKit is an open-source TypeScript library that connects Tencent CloudBase to AI agents using the Model Context Protocol (MCP). It enables developers to go from an AI prompt to a live application by bridging agent requests with cloud backend services.

Best for

Best for
Developers building AI-driven applications on Tencent Cloud who want to turn prompts into deployed apps quickly.

Use cases

  • Rapidly prototype full-stack apps from natural language prompts
  • Integrate AI agents with CloudBase's serverless functions and databases
  • Build MCP-compatible tools that deploy directly to Tencent Cloud

How to use

Tools exposed

  • npx
  • npm

Tested with

Cursor, WindSurf, CodeBuddy, CLINE, GitHub Copilot, OpenClaw, WorkBuddy, Trae

Example client config

{\n  "mcpServers": {\n    "cloudbase": {\n      "command": "npx",\n      "args": ["@cloudbase/cloudbase-mcp@latest"]\n    }\n  }\n}

Notes

CloudBase-AI-ToolKit is an open-source TypeScript library that connects Tencent CloudBase to AI agents using the Model Context Protocol (MCP). It enables developers to go from an AI prompt to a live application by bridging agent requests with cloud backend services.

1,029 stars on GitHub. Last updated 2026-06-01. Licensed MIT.

Use cases

  • Rapidly prototype full-stack apps from natural language prompts
  • Integrate AI agents with CloudBase’s serverless functions and databases
  • Build MCP-compatible tools that deploy directly to Tencent Cloud

Pros

  • Open source with over 1,000 stars and active community
  • Leverages the MCP standard for interoperability with many AI agents
  • Written in TypeScript for type safety and developer experience

Cons

  • Tied to Tencent CloudBase ecosystem, limiting portability
  • Requires a CloudBase account and familiarity with Tencent Cloud services
  • MCP is still an emerging protocol, so agent compatibility may vary

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Open source with over 1,000 stars and active community
  • Leverages the MCP standard for interoperability with many AI agents
  • Written in TypeScript for type safety and developer experience

Cons

  • Tied to Tencent CloudBase ecosystem, limiting portability
  • Requires a CloudBase account and familiarity with Tencent Cloud services
  • MCP is still an emerging protocol, so agent compatibility may vary
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