经 AI Skill Hub 精选评估,mobile-mcp MCP工具 获评「强烈推荐」。已获得 4.9k 颗 GitHub Star,这款MCP工具在功能完整性、社区活跃度和易用性方面表现出色,AI 评分 8.2 分,适合有一定技术背景的用户使用。
基于Model Context Protocol的移动端自动化工具,支持iOS和Android平台的应用测试、网页爬取等操作。为AI Agent提供移动设备交互能力,适合自动化测试工程师和AI应用开发者使用。
mobile-mcp MCP工具 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。
基于Model Context Protocol的移动端自动化工具,支持iOS和Android平台的应用测试、网页爬取等操作。为AI Agent提供移动设备交互能力,适合自动化测试工程师和AI应用开发者使用。
mobile-mcp MCP工具 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。
# 方式一:通过 Claude Code CLI 一键安装
claude skill install https://github.com/mobile-next/mobile-mcp
# 方式二:手动配置 claude_desktop_config.json
{
"mcpServers": {
"mobile-mcp-mcp--": {
"command": "npx",
"args": ["-y", "mobile-mcp"]
}
}
}
# 配置文件位置
# macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
# Windows: %APPDATA%/Claude/claude_desktop_config.json
# 安装后在 Claude 对话中直接使用 # 示例: 用户: 请帮我用 mobile-mcp MCP工具 执行以下任务... Claude: [自动调用 mobile-mcp MCP工具 MCP 工具处理请求] # 查看可用工具列表 # 在 Claude 中输入:"列出所有可用的 MCP 工具"
// claude_desktop_config.json 配置示例
{
"mcpServers": {
"mobile-mcp_mcp__": {
"command": "npx",
"args": ["-y", "mobile-mcp"],
"env": {
// "API_KEY": "your-api-key-here"
}
}
}
}
// 保存后重启 Claude Desktop 生效
This is a Model Context Protocol (MCP) server that enables scalable mobile automation, development through a platform-agnostic interface, eliminating the need for distinct iOS or Android knowledge. You can run it on emulators, simulators, and real devices (iOS and Android). This server allows Agents and LLMs to interact with native iOS/Android applications and devices through structured accessibility snapshots or coordinate-based taps based on screenshots.
https://github.com/user-attachments/assets/bb084777-beb3-4930-ae6f-8d3fe694ddde
<p align="center"> <a href="https://github.com/mobile-next/"> <img alt="mobile-mcp" src="https://raw.githubusercontent.com/mobile-next/mobile-next-assets/refs/heads/main/mobile-mcp-banner.png" width="600" /> </a> </p>
What you will need to connect MCP with your agent and mobile devices:
Join us on our journey as we continuously enhance Mobile MCP! Check out our detailed roadmap to see upcoming features, improvements, and milestones. Your feedback is invaluable in shaping the future of mobile automation.
Standard config works in most of the tools:
{
"mcpServers": {
"mobile-mcp": {
"command": "npx",
"args": ["-y", "@mobilenext/mobile-mcp@latest"]
}
}
}
<details> <summary>Amp</summary>
Add via the Amp VS Code extension settings screen or by updating your settings.json file:
"amp.mcpServers": {
"mobile-mcp": {
"command": "npx",
"args": [
"@mobilenext/mobile-mcp@latest"
]
}
}
Amp CLI:
Run the following command in your terminal:
amp mcp add mobile-mcp -- npx @mobilenext/mobile-mcp@latest
</details>
<details> <summary>Cline</summary>
To setup Cline, just add the json above to your MCP settings file.
</details>
<details> <summary>Claude Code</summary>
Use the Claude Code CLI to add the Mobile MCP server:
claude mcp add mobile-mcp -- npx -y @mobilenext/mobile-mcp@latest </details>
<details> <summary>Claude Desktop</summary>
Follow the MCP install guide, use json configuration above.
</details>
<details> <summary>Codex</summary>
Use the Codex CLI to add the Mobile MCP server:
codex mcp add mobile-mcp npx "@mobilenext/mobile-mcp@latest"
Alternatively, create or edit the configuration file ~/.codex/config.toml and add:
[mcp_servers.mobile-mcp]
command = "npx"
args = ["@mobilenext/mobile-mcp@latest"]
For more information, see the Codex MCP documentation.
</details>
<details> <summary>Copilot</summary>
Use the Copilot CLI to interactively add the Mobile MCP server:
/mcp add
You can edit the configuration file ~/.copilot/mcp-config.json and add:
{
"mcpServers": {
"mobile-mcp": {
"type": "local",
"command": "npx",
"tools": [
"*"
],
"args": [
"@mobilenext/mobile-mcp@latest"
]
}
}
}
For more information, see the Copilot CLI documentation.
</details>
<details> <summary>Cursor</summary>
<img src="https://cursor.com/deeplink/mcp-install-dark.svg" alt="Install in Cursor">
Go to Cursor Settings -> MCP -> Add new MCP Server. Name to your liking, use command type with the command npx -y @mobilenext/mobile-mcp@latest. You can also verify config or add command like arguments via clicking Edit.
</details>
<details> <summary>Gemini CLI</summary>
Use the Gemini CLI to add the Mobile MCP server:
gemini mcp add mobile-mcp npx -y @mobilenext/mobile-mcp@latest
</details>
<details> <summary>Goose</summary>
Go to Advanced settings -> Extensions -> Add custom extension. Name to your liking, use type STDIO, and set the command to npx -y @mobilenext/mobile-mcp@latest. Click "Add Extension".
</details>
<details> <summary>Kiro</summary>
Follow the MCP Servers documentation. For example in .kiro/settings/mcp.json:
{
"mcpServers": {
"mobile-mcp": {
"command": "npx",
"args": [
"@mobilenext/mobile-mcp@latest"
]
}
}
}
</details>
<details> <summary>opencode</summary>
Follow the MCP Servers documentation. For example in ~/.config/opencode/opencode.json:
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"mobile-mcp": {
"type": "local",
"command": [
"npx",
"@mobilenext/mobile-mcp@latest"
],
"enabled": true
}
}
}
</details>
<details> <summary>Qodo Gen</summary>
Open Qodo Gen chat panel in VSCode or IntelliJ → Connect more tools → + Add new MCP → Paste the standard config above.
Click <code>Save</code>.
</details>
<details> <summary>Windsurf</summary>
Open Windsurf settings, navigate to MCP servers, and add a new server using the command type with:
npx @mobilenext/mobile-mcp@latest
Or add the standard config under mcpServers in your settings as shown above.
</details>
How we help to scale mobile automation:
After adding the MCP server to your IDE/Client, you can instruct your AI assistant to use the available tools. For example, in Cursor's agent mode, you could use the prompts below to quickly validate, test and iterate on UI intereactions, read information from screen, go through complex workflows. Be descriptive, straight to the point.
You can specifiy detailed workflows in a single prompt, verify business logic, setup automations. You can go crazy:
Search for a video, comment, like and share it.
Find the video called " Beginner Recipe for Tonkotsu Ramen" by Way of
Ramen, click on like video, after liking write a comment " this was
delicious, will make it next Friday", share the video with the first
contact in your whatsapp list.
Download a successful step counter app, register, setup workout and 5-star the app
Find and Download a free "Pomodoro" app that has more than 1k stars.
Launch the app, register with my email, after registration find how to
start a pomodoro timer. When the pomodoro timer started, go back to the
app store and rate the app 5 stars, and leave a comment how useful the
app is.
Search in Substack, read, highlight, comment and save an article
Open Substack website, search for "Latest trends in AI automation 2025",
open the first article, highlight the section titled "Emerging AI trends",
and save article to reading list for later review, comment a random
paragraph summary.
Reserve a workout class, set timer
Open ClassPass, search for yoga classes tomorrow morning within 2 miles,
book the highest-rated class at 7 AM, confirm reservation,
setup a timer for the booked slot in the phone
Find a local event, setup calendar event
Open Eventbrite, search for AI startup meetup events happening this
weekend in "Austin, TX", select the most popular one, register and RSVP
yes to the event, setup a calendar event as a reminder.
Check weather forecast and send a Whatsapp/Telegram/Slack message
Open Weather app, check tomorrow's weather forecast for "Berlin", and
send the summary via Whatsapp/Telegram/Slack to contact "Lauren Trown",
thumbs up their response.
- Schedule a meeting in Zoom and share invite via email
Open Zoom app, schedule a meeting titled "AI Hackathon" for tomorrow at
10AM with a duration of 1 hour, copy the invitation link, and send it via
Gmail to contacts "team@example.com". More prompt examples can be found here.
高星开源项目,填补AI Agent与移动端交互空白。TypeScript实现维护性好,MCP协议原生支持。生态完整度仍需提升。
AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。
建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。
✅ Apache 2.0 — 宽松开源协议,可商用,需保留版权声明和 NOTICE 文件,含专利授权条款。
AI Skill Hub 点评:mobile-mcp MCP工具 的核心功能完整,质量优秀。对于Claude Desktop / Claude Code 用户来说,这是一个值得纳入个人工具库的选择。建议先在非生产环境试用,再逐步推广。
| 原始名称 | mobile-mcp |
| 原始描述 | 开源MCP工具:Model Context Protocol Server for Mobile Automation and Scraping (iOS, Android, 。⭐4.9k · TypeScript |
| Topics | 移动自动化iOSAndroidMCP爬虫测试框架 |
| GitHub | https://github.com/mobile-next/mobile-mcp |
| License | Apache-2.0 |
| 语言 | TypeScript |
收录时间:2026-05-14 · 更新时间:2026-05-16 · License:Apache-2.0 · AI Skill Hub 不对第三方内容的准确性作法律背书。
选择 Agent 类型,复制安装指令后粘贴到对应客户端