
Claude Desktop
Desktop · Freemium · Proprietary
Anthropic's official Claude AI desktop application. Supports MCP servers to extend functionality.
Developer Tools · OS Automation
vs4vijay/espresso-mcp
An MCP Server for the Espresso Android Test Framework, crafted to improve testing capabilities and optimize development workflows.
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.
Details on this page are taken from the project's README. Open README
Clients mentioned in this server's README:

microsoft/playwright
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bytedance/UI-TARS-desktop
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ahujasid/blender-mcp
formerly blender-mcp — the PyPI package is now mcp-for-blender. Existing setups keep working; no config change is required. Read more.

microsoft/playwright-mcp
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comet-ml/opik
Opik is the open-source LLM observability and evaluation platform for AI agent tracing, LLM evaluation, prompt management, and production monitoring. Built by Comet. Apache-2.0 licensed, free to self-host the full platform, with 20,000+ GitHub stars.