
Claude Desktop
桌面端 · 免费增值 · Proprietary
Anthropic 官方推出的 Claude AI 桌面应用程序。支持 MCP 服务器以扩展功能。
vs4vijay/espresso-mcp
Espresso Android测试框架的MCP服务器,旨在提升测试能力并优化开发流程。
uvx espresso-mcp{
"mcpServers": {
"espresso-mcp": {
"command": "uvx",
"args": [
"espresso-mcp"
]
}
}
}start_emulator
Start an Android Emulator by name.
kill_emulator
Kill a specific Android Emulator.
dump_ui_hierarchy
Dump the UI hierarchy of the connected Android device.
open_uri
Open a URI on the connected Android device.
install_app
Install an APK on the connected Android device.
start_app
Start a specific app on the connected Android device.
stop_app
Stop a specific app on the connected Android device.
uninstall_app
Uninstall an app from the connected Android device.
clear_app_data
Clear app data for a specific app on the connected Android device.
take_screenshot
Take a screenshot of the connected Android device.
record_screen
Record the screen of the connected Android device for a specified duration.
press_button
Simulate a button press on the connected Android device.
type_text
Type text on the connected Android device.
clear_and_type_text
Clear all text and type new text on the connected Android device.
replace_text
Replace text by clearing current text and typing new text on the connected Android device.
tap
Simulate a tap on the connected Android device at specific coordinates.
swipe
Perform a swipe gesture in a specific direction on the connected Android device.
dump_current_activity
Dump the current activity name of the connected Android device.
本页信息摘自该项目的 README。 查看 README
该服务器 README 中提到的客户端:

microsoft/playwright
Playwright是一个跨浏览器的Web测试和自动化框架,支持Chromium、Firefox和WebKit,提供无头执行、多浏览器兼容性测试、强大的断言和工具支持,适用于多种编程语言。

yamadashy/repomix
Repomix是一个将代码库打包为AI友好格式的工具,支持本地和远程仓库处理,提供代码压缩、安全检查和多种输出格式。

bytedance/UI-TARS-desktop
TARS 是字节跳动的多模态 AI 智能体技术栈,包含两个项目:Agent TARS(基于 MCP 的命令行与 Web UI 智能体)和 UI-TARS-desktop(桌面 GUI 智能体)。

ahujasid/blender-mcp
BlenderMCP通过MCP协议将Blender与Claude AI连接,实现AI辅助3D建模与场景控制

microsoft/playwright-mcp
Playwright MCP是一个基于Playwright的浏览器自动化服务器,通过结构化数据而非像素输入实现LLM与网页的交互。

comet-ml/opik
Opik是一个开源的LLM评估框架,支持追踪、评估和监控LLM应用,帮助开发者构建更高效、更经济的LLM系统。