AI Skill Hub 推荐使用:开源MCP工具 是一款优质的MCP工具。AI 综合评分 7.5 分,在同类工具中表现稳健。如果你正在寻找可靠的MCP工具解决方案,这是一个值得深入了解的选择。
MCP server for controlling a real iPhone via macOS iPhone Mirroring...and any Ma,提供iPhone控制功能,支持macOS iPhone Mirroring
开源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。
MCP server for controlling a real iPhone via macOS iPhone Mirroring...and any Ma,提供iPhone控制功能,支持macOS iPhone Mirroring
开源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/jfarcand/mirroir-mcp
# 方式二:手动配置 claude_desktop_config.json
{
"mcpServers": {
"--mcp--": {
"command": "npx",
"args": ["-y", "mirroir-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 开源MCP工具 执行以下任务... Claude: [自动调用 开源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": {
"__mcp__": {
"command": "npx",
"args": ["-y", "mirroir-mcp"],
"env": {
// "API_KEY": "your-api-key-here"
}
}
}
}
// 保存后重启 Claude Desktop 生效
<p align="center"> <img src="website/public/mirroir-wordmark.svg" alt="mirroir-mcp" width="128" /> </p>
/bin/bash -c "$(curl -fsSL https://mirroir.dev/get-mirroir.sh)"
or via npx:
npx -y mirroir-mcp install
or via Homebrew:
brew tap jfarcand/tap && brew install mirroir-mcp
The first time you take a screenshot, macOS will prompt for Screen Recording and Accessibility permissions. Grant both.
<details> <summary>Per-client setup</summary>
claude mcp add --transport stdio mirroir -- npx -y mirroir-mcp
Install from the MCP server gallery: search @mcp mirroir in the Extensions view, or add to .vscode/mcp.json:
{
"servers": {
"mirroir": {
"type": "stdio",
"command": "npx",
"args": ["-y", "mirroir-mcp"]
}
}
}
Add to .cursor/mcp.json in your project root:
{
"mcpServers": {
"mirroir": {
"command": "npx",
"args": ["-y", "mirroir-mcp"]
}
}
}
codex mcp add mirroir -- npx -y mirroir-mcp
Or add to ~/.codex/config.toml:
[mcp_servers.mirroir]
command = "npx"
args = ["-y", "mirroir-mcp"]
</details>
<details> <summary>Install from source</summary>
git clone https://github.com/jfarcand/mirroir-mcp.git
cd mirroir-mcp
./mirroir.sh
Use the full path to the binary in your .mcp.json: <repo>/.build/release/mirroir-mcp.
</details>
brew reinstall mirroir-mcp
#### Zero-config activation
When the embacle FFI is linked into the binary, `screenDescriberMode` defaults to `"auto"` which automatically resolves to vision mode. No settings change required — install embacle-ffi, rebuild, and `describe_screen` starts using AI vision.
To force local OCR even when embacle is available, explicitly set `"ocr"`:
json // .mirroir-mcp/settings.json { "screenDescriberMode": "ocr" } ```
See Configuration for all available settings.
Compile a skill once to capture coordinates and timing. Replay with zero OCR — a 10-step skill drops from 5+ seconds of OCR to under a second.
mirroir compile apps/settings/check-about # compile
mirroir test apps/settings/check-about # auto-detects .compiled.json
mirroir test --no-compiled check-about # force full OCR
AI agents auto-compile skills as a side-effect of the first MCP run. See Compiled Skills for details.
/bin/bash -c "$(curl -fsSL https://mirroir.dev/get-mirroir.sh)"
```bash
Paste any of these into Claude Code, Claude Desktop, ChatGPT, Cursor, or any MCP client:
Open Messages, find my conversation with Alice, and send "running 10 min late".
Open Calendar, create a new event called "Dentist" next Tuesday at 2pm.
Open my Expo Go app, tap "LoginDemo", test the login screen with
test@example.com / password123. Screenshot after each step.
Start recording, open Settings, scroll to General > About, stop recording.
Set up your keyboard layout for non-US keyboards:
mirroir configure
All settings live in settings.json — project-local (.mirroir-mcp/settings.json) or global (~/.mirroir-mcp/settings.json). Project-local settings override global ones. Every setting also has a corresponding environment variable (e.g. MIRROIR_SCREEN_DESCRIBER_MODE).
{
"screenDescriberMode": "auto",
"agent": "embacle",
"ocrBackend": "auto",
"keystrokeDelayUs": 15000,
"explorationMaxScreens": 30
}
See Configuration Reference for all 40+ settings covering screen intelligence, input timing, scroll behavior, exploration budgets, AI providers, and keyboard layouts.
该项目提供了开源MCP工具,支持控制iPhone和macOS iPhone Mirroring,使用Swift编写,值得关注
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。
总体来看,开源MCP工具 是一款质量良好的MCP工具,在同类工具中具备一定竞争力。AI Skill Hub 将持续追踪其更新动态,建议收藏备用,结合自身场景选择合适时机引入使用。
| 原始名称 | mirroir-mcp |
| Topics | ai-agentiphoneiphone-mirroringmacosswift |
| GitHub | https://github.com/jfarcand/mirroir-mcp |
| License | Apache-2.0 |
| 语言 | Swift |
收录时间:2026-05-24 · 更新时间:2026-05-24 · 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