A Model Context Protocol (MCP) server that exposes desktop automation capabilities, allowing LLM applications to interact with your desktop
A Model Context Protocol (MCP) server that exposes desktop automation capabilities, allowing LLM applications to interact with your desktop environment through standardized tools. That is what the gceu workshop mcp live mcp server brings to an AI assistant: the same capability, reachable through the Model Context Protocol rather than a separate app or dashboard.
This MCP server provides a bridge between LLM applications and desktop automation functionality. It exposes mouse, keyboard, and screen automation capabilities through the MCP protocol, enabling AI assistants to:
The server publishes 10 tools. What each one is for:
Prerequisites — The Prerequisites tool exposed by this serverclick — The click tool exposed by this serverright_click — The right_click tool exposed by this serverdouble_click — The double_click tool exposed by this servermove_mouse — The move_mouse tool exposed by this serverget_mouse_position — The get_mouse_position tool exposed by this servertype_text — The type_text tool exposed by this serverpress_key — The press_key tool exposed by this servertake_screenshot — The take_screenshot tool exposed by this serverget_screen_size — The get_screen_size tool exposed by this serverSetup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.
This sits in the AI and media services group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. Gceu Workshop MCP Live's toolset — Prerequisites, click, right_click and 7 more — is a fair guide to whether it matches your workflow. It is maintained by dmahlow; worth a glance at recent repository activity before you build anything load-bearing on it.
We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
| Tool | What it does |
|---|---|
| Prerequisites | The Prerequisites tool exposed by this server. |
| click | The click tool exposed by this server. |
| right_click | The right_click tool exposed by this server. |
| double_click | The double_click tool exposed by this server. |
| move_mouse | The move_mouse tool exposed by this server. |
| get_mouse_position | The get_mouse_position tool exposed by this server. |
| type_text | The type_text tool exposed by this server. |
| press_key | The press_key tool exposed by this server. |
| take_screenshot | The take_screenshot tool exposed by this server. |
| get_screen_size | The get_screen_size tool exposed by this server. |
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.