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Tool connections (MCP)

CloudBase AI Toolkit

tencentcloudbase/cloudbase-ai-toolkit

Connect an AI coding tool to CloudBase databases, functions, storage and deployment.

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What is CloudBase AI Toolkit?

Prepared by LessAI Tools from public project documentation

Tencent CloudBase's official toolkit includes a standalone MCP server plus related skills and plugins. It suits developers building websites or mini programs on CloudBase. The npm-based MCP requires Node.js 18.15 or later, your own CloudBase environment and authorization. It can perform real cloud-resource operations. The code uses MIT licensing; CloudBase usage beyond free quotas is billed.

CloudBase AI Toolkit setup documentation

Setup requirements have not been reviewed yet. Check the project’s setup guide.

Setup and usage guide ↗

Based on public documentation; not individually installed and tested here.

CloudBase AI Toolkit use cases

  • Inspect and operate CloudBase databases
  • Manage cloud functions and storage
  • Assist with website and backend deployment

Official project & documentation

View source code ↗Project website ↗Setup and usage guide ↗

The project’s original description

Backend for AI coding agents on CloudBase — database, auth, functions via Plugin, Skills & MCP.

Alternatives to CloudBase AI Toolkit for similar tasks

Matches the main use case first, then shared tasks and stars. Setup methods may differ.

  • REA — Reverse Engineer Anything — Let AI investigate how an application's features work and return code and runtime evidence you can check.
  • GitHub MCP Server — Let your AI assistant work with GitHub code, issues, and pull requests.
  • AWS MCP Servers — Give an assistant AWS documentation and selected cloud-operation tools.

Sources and ranking

This directory lists AI development plugins with public source code and a clear purpose. Browse by task, then open an introduction to learn what a project does, who it is for, and what you need to get started. It covers selected projects, not every AI plugin.

How do the three plugin types differ?

Tool connections (MCP) let AI assistants use external tools such as browsers, code repositories and databases. MCP is the protocol used for these connections.

Reusable skills give a compatible AI assistant instructions and guidance for a particular task.

Editor plugins run inside the software you use to write code, adding AI chat, completions or suggested edits.

How does “Most starred” work?

Projects are sorted by their total GitHub stars. Stars indicate interest; they are not downloads, active users or quality scores. A skill pack counts as one project. Daily star growth is not shown without historical records.

What does “Recently updated” mean?

It uses the most recent code push, which may not be a new release. The 7-day filter checks that project update time; ranking still uses all-time stars. Each introduction shows when its star count was collected. Failed updates keep the last saved data.

Introductions are based on public project documentation. These projects have not each been installed and tested here. Check the project documentation for setup, compatibility and service costs. Refreshing this list only reads saved data; it does not start collection.

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