← 返回
AI智能 Key 中文

Cloud Phone Agent

Use mcporter to call cpc-mcp-server AutoJS Agent tools for cloud Android task execution and result retrieval.
{ "answer": "使用 mcporter 调用 cpc-mcp-server AutoJS Agent 工具,执行云端安卓任务并获取结果。" }
sav7ng
AI智能 clawhub v0.0.2 1 版本 99935.4 Key: 需要
★ 0
Stars
📥 1,548
下载
💾 94
安装
1
版本
#latest

概述

What this skill does

cloudphone guides the agent to run Android automation tasks in a cloud phone environment by calling cpc-mcp-server tools through mcporter.

It is designed for:

  • AutoJS-based cloud phone automation
  • App regression / smoke test execution
  • Remote batch operation workflows
  • Scripted interaction on cloud Android devices

When to use this skill

Use this skill when the user asks for actions such as:

  • “Run a script on a cloud phone”
  • “Use AutoJS to automate this app flow”
  • “Execute Android UI steps remotely and return screenshots/logs”
  • “Use cpc-mcp-server for cloud-device automation”

When NOT to use this skill

Do not use this skill for:

  • Local ADB/emulator automation (non-cloud devices)
  • iOS automation (e.g., XCUITest)
  • Static script/code review without real device execution
  • Pure consulting requests without executable task goals

Required prerequisites (must pass before execution)

Before any call, ensure authentication is configured correctly.

cpc-mcp-server requires:

  • Authorization: Bearer

This skill standardizes the API key through:

  • CLOUDPHONE_API_KEY (required)

Requirements

  1. Set environment variable CLOUDPHONE_API_KEY.
  2. Ensure MCP server header injection is active before execution:
    • Authorization: Bearer $CLOUDPHONE_API_KEY
  3. Never hardcode or commit real keys in repo files, SKILL.md, or config JSON.

> This skill defines naming and preconditions only.

> Secret injection implementation is handled by runtime/environment config.


Invocation model (via mcporter)

This skill does not call MCP tools directly. It uses mcporter CLI to invoke tools on cpc-mcp-server.

Common command patterns:

  • List configured MCP servers:
  • mcporter list
  • Inspect server schema:
  • mcporter list cpc-mcp-server --schema
  • Call tool with JSON args (recommended):
  • mcporter call cpc-mcp-server. --args ''

> Prefer --args JSON for long instructions, multilingual text, and special characters.


Minimal input checklist (before creating tasks)

Collect these fields first (ask follow-up only if missing):

  1. Target app (name/package)
  2. Intended action (what to do)
  3. Success criteria (what counts as done)
  4. Expected output type (screenshot/log/text result)

Tool 1: Create task (createAutoJsAgentTask)

Goal

Create and dispatch an AutoJS Agent task, then obtain taskId (and possibly sessionId).

Recommended call

mcporter call cpc-mcp-server.createAutoJsAgentTask --args '{
  "instruction": "Open <APP_NAME> on cloud phone, log in with test account, navigate to Orders page, capture a screenshot, and return order count.",
  "lang": "en"
}'

版本历史

共 1 个版本

  • v0.0.2 当前
    2026-03-29 00:45 安全 安全

安全检测

腾讯云安全 (Keen)

安全,无风险
查看报告

腾讯云安全 (Sanbu)

安全,无风险
查看报告

🔗 相关推荐

ai-intelligence

Proactive Agent

halthelobster
将AI智能体从任务执行者升级为主动预判需求、持续优化的智能伙伴。集成WAL协议、工作缓冲区、自主定时任务及实战验证模式。Hal Stack核心组件 🦞
★ 838 📥 213,397
ai-intelligence

Self-Improving + Proactive Agent

ivangdavila
自我反思+自我批评+自我学习+自组织记忆。智能体评估自身工作、发现错误并持续改进。
★ 1,362 📥 318,920
ai-intelligence

self-improving agent

pskoett
捕获经验教训、错误和纠正,以实现持续改进。使用时机:(1)命令或操作意外失败;(2)用户纠正……
★ 4,061 📥 799,115