C
callstack/agent-device
Control phones, browsers, TVs and desktop apps on devices
在 GitHub 查看 ↗链接已于 2026-11-12 核查 · HTTP 200 · 打开的是厂商自己的官网
安装与配置
- 复制上面的命令
- 粘成
claude_desktop_config.json里mcpServers的一项(本地服务器用 command + args,示例见 客户端接法) - 重启客户端
取自该仓库的安装命令
npm install -g agent-device@latest
解析自我们于 2026-11-05 抓取的该仓库 README;我们未执行过。
这条是仓库自己写的安装方式,不是 MCP 客户端配置,所以不生成 JSON。
配置项的键名以你的客户端为准:客户端与 CLI
- 来源明细
- 收录自 abordage/awesome-mcp 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
- 收录与活跃
- 收录于 2026-11-05 · 最近见到 2026-11-14 · 共见到 10 次 · 被 10 个来源列出
- 评分构成
- 综合分 1,003 · 10 个来源 · mcp
- 安装
npm install -g agent-device@latest
常见问题(答案都来自我们的记录)
怎么安装?
该仓库给出的安装命令是
npm install -g agent-device@latest。我们的记录里它是仓库自己提供的;不保证在你的客户端上直接可用。它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
我们收录于 2026-11-05;最近见到 2026-11-14。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
# agent-device
以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →
Open source device layer for AI coding agents. Let coding agents control mobile, web, TV, and desktop apps on devices and simulators, locally or in the cloud, through a CLI, built-in MCP server, or typed Node.js API.
Let your coding agent verify its changes in the running app. agent-device lets agents inspect, control, debug, and verify apps on iOS, Android, and HarmonyOS (simulators, emulators, and physical devices), plus tvOS, Android TV, Fire TV (Fire OS), Amazon Vega OS TV (Vega Virtual Device), web, macOS, and Linux. Agents read token-efficient accessibility snapshots instead of reasoning over screenshots alone, act through refs and selectors, and save evidence for review. It also coordinates device access across parallel agent worktrees and connects to remote device clouds.
Works with Claude Code, Codex, Cursor, Windsurf, Cline, Goose, and any agent that can run a CLI or connect over MCP, or as the runtime under agents you build with the AI SDK or Eve. Developers at Expensify, Shopify, and others use it to verify their apps.
agent-device powers mobile automation in
e2e
and
T3 Code .
## Quick start
Install the CLI and check setup. It requires Node.js 22.12 or newer; web automation requires Node.js 24 or newer. See Installation for target requirements.
bash
npm install -g agent-device@latest
agent-device doctor
agent-device help workflow
Run doctor yourself before you hand the CLI to an agent. help workflow links to the guides for debugging, replay, and profiling.
### Drive an app from the CLI
Add a contact in the built-in iOS Contacts app:
bash
# Start a session.
agent-device open Contacts --platform ios
# Inspect the screen. The example below shows the output; refs vary.
agent-device snapshot -i
# @e2 [button] "Add"
# Use the ref and wait for the UI to settle.
agent-device press @e2 --settle
# The diff includes:
# + @e7 [text-field] "First name"
agent-device fill @e7 "Ada" --settle
# The next diff shows changed values and current refs:
# - @e7 [text-field] "First name"
# + @e14 [text-field] "Ada"
# = @e15 [text-field] "Last name"
# Capture evidence and close the session.
agent-device screenshot ./contact-form.png
agent-device close
Refs are valid only in the latest output: after a --settle command, use the refs in its diff, and take a new snapshot only if the diff omits what you need. Snapshots come from the app's accessibility tree, so clear labels, roles, and test IDs make agent runs more reliable; use screenshots and video as evidence or when accessibility data is poor.
### Add MCP tools to your agent
agent-device mcp starts the official stdio MCP server, exposing the installed commands as structured tools over the same execution path as the CLI:
json
"mcpServers": {
"agent-device": {
"command": "agent-device",
"args": ["mcp"]
See AI agent setup for per-client setup and when to prefer plain CLI over MCP.
### Script it from Node.js
createAgentDeviceClient() gives Node.js code typed access to the same commands, as model tools in your own agent or from orchestration code:
ts
import { createAgentDeviceClient } from 'agent-device';
const client = createAgentDeviceClient({ session: 'qa-run' });
try {
await client.apps.open({ app: 'com.apple.Preferences', platform: 'ios' });
Let your coding agent verify its changes in the running app. agent-device lets agents inspect, control, debug, and verify apps on iOS, Android, and HarmonyOS (simulators, emulators, and physical devices), plus tvOS, Android TV, Fire TV (Fire OS), Amazon Vega OS TV (Vega Virtual Device), web, macOS, and Linux. Agents read token-efficient accessibility snapshots instead of reasoning over screenshots alone, act through refs and selectors, and save evidence for review. It also coordinates device access across parallel agent worktrees and connects to remote device clouds.
Works with Claude Code, Codex, Cursor, Windsurf, Cline, Goose, and any agent that can run a CLI or connect over MCP, or as the runtime under agents you build with the AI SDK or Eve. Developers at Expensify, Shopify, and others use it to verify their apps.
agent-device powers mobile automation in
e2e
and
T3 Code .
## Quick start
Install the CLI and check setup. It requires Node.js 22.12 or newer; web automation requires Node.js 24 or newer. See Installation for target requirements.
bash
npm install -g agent-device@latest
agent-device doctor
agent-device help workflow
Run doctor yourself before you hand the CLI to an agent. help workflow links to the guides for debugging, replay, and profiling.
### Drive an app from the CLI
Add a contact in the built-in iOS Contacts app:
bash
# Start a session.
agent-device open Contacts --platform ios
# Inspect the screen. The example below shows the output; refs vary.
agent-device snapshot -i
# @e2 [button] "Add"
# Use the ref and wait for the UI to settle.
agent-device press @e2 --settle
# The diff includes:
# + @e7 [text-field] "First name"
agent-device fill @e7 "Ada" --settle
# The next diff shows changed values and current refs:
# - @e7 [text-field] "First name"
# + @e14 [text-field] "Ada"
# = @e15 [text-field] "Last name"
# Capture evidence and close the session.
agent-device screenshot ./contact-form.png
agent-device close
Refs are valid only in the latest output: after a --settle command, use the refs in its diff, and take a new snapshot only if the diff omits what you need. Snapshots come from the app's accessibility tree, so clear labels, roles, and test IDs make agent runs more reliable; use screenshots and video as evidence or when accessibility data is poor.
### Add MCP tools to your agent
agent-device mcp starts the official stdio MCP server, exposing the installed commands as structured tools over the same execution path as the CLI:
json
"mcpServers": {
"agent-device": {
"command": "agent-device",
"args": ["mcp"]
See AI agent setup for per-client setup and when to prefer plain CLI over MCP.
### Script it from Node.js
createAgentDeviceClient() gives Node.js code typed access to the same commands, as model tools in your own agent or from orchestration code:
ts
import { createAgentDeviceClient } from 'agent-device';
const client = createAgentDeviceClient({ session: 'qa-run' });
try {
await client.apps.open({ app: 'com.apple.Preferences', platform: 'ios' });
收录徽章(可选)
想把收录标记放进 README 就复制这行,可选,不影响收录。
[](https://anclum.com/zh/s/callstack-agent-device/)
- 来源
- awesome · https://github.com/callstack/agent-device
- 按领域浏览
- MCP 服务
- 收录来源
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