TencentCloudBase/CloudBase-AI-ToolKit
by Various
CloudBase MCP - Connect CloudBase to your AI Agent. Go from AI prompt to live app.
MCP
TencentCloudBase/CloudBase-AI-ToolKit
Added 1 June 2026
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
npxnpm
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
Pairs with
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