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iFlow CLI Setup Guide

After setup, you can operate CloudBase services directly from iFlow CLI’s AI chat.

Examples:

  • "Create a users collection" - AI creates database collections automatically
  • "Deploy this function" - AI uploads and configures cloud functions
  • "Deploy the frontend to CDN" - AI uploads files and configures hosting

No need to switch to the Cloud console — you can do everything from the CLI with natural language.

Prerequisites

Before you start, make sure you have:

Node.js and a CloudBase environment ready

Node.js: Install Node.js v18.15.0 or later:

node --version

If you don’t have it installed, download it from the Node.js website.

CloudBase environment: See Create a CloudBase environment. New users can start for free.


Client

Configure your AI tool to connect with CloudBase capabilities. Supports local and hosted connection. See connection modes.

Step 1: Install / Configure CloudBase

CLI command:

iflow mcp add-json --scope project cloudbase '{"command":"npx","args":["@cloudbase/cloudbase-mcp@latest"],"env":{"INTEGRATION_IDE":"iFlow"}}'

或者将以下配置添加到 .iflow/settings.json:

Or manual configuration:

或者将以下配置添加到 .iflow/settings.json:

json
1{
2 "mcpServers": {
3 "cloudbase": {
4 "command": "npx",
5 "args": ["@cloudbase/cloudbase-mcp@latest"],
6 "env": {
7 "INTEGRATION_IDE": "iFlow"
8 }
9 }
10 }
11}

Step 2: Chat with AI

Enter the following in your AI chat in order:

prompt
Install CloudBase Skills: run npx skills add tencentcloudbase/cloudbase-skills -y
Use CloudBase Skills: 帮我按照 Spec 工作流开发一个 CloudBase 新功能

FAQ

Q: MCP connection failed?

A: Check the MCP configuration format and network connectivity. You can use iflow mcp list to see installed MCP servers.

Q: Tool count shows 0?

A: See the FAQ.

Q: How do I manage MCP in iFlow CLI?

A: Use /mcp list to view installed MCP servers, and /mcp online to browse the MCP marketplace.

More: FAQ

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