Let an AI model use a real iPhone with a $7 ESP32: AirPlay eyes, USB HID hands, any OpenAI-compatible vision model. No Mac, no developer account, no jailbreak.
dsh-windows-mcp
Windows desktop automation for DeepSeek Harness: the in-box MCP client bridge mounted against CursorTouch/Windows-MCP, with an off-by-default Computer Use switch and an in-app dependency installer.
Plugin facts
Screenshots
About this plugin
Windows desktop automation for DeepSeek Harness: the in-box MCP client bridge mounted against CursorTouch/Windows-MCP, with an off-by-default Computer Use switch and an in-app dependency installer.
Install this DSH plugin
Copy the command below and run it in your DeepSeek Harness terminal.
dsh plugin add github:helloHub1212/dsh-windows-mcp Plugins run with the permissions of your dsh process and may execute code at install time. Review the source repository and its license before installing. Pin the commit hash for reproducible installs. Plugin safety →
More about this plugin
Windows desktop automation for DeepSeek Harness — lets the DSH agent see your screen and drive your PC.
Related guides
Learn how to choose, install, and use workflow & automation plugins.
About this plugin: dsh-windows-mcp
What is dsh-windows-mcp?
dsh-windows-mcp is a workflow & automation plugin maintained by helloHub1212. Windows desktop automation for DeepSeek Harness: the in-box MCP client bridge mounted against CursorTouch/Windows-MCP, with an off-by-default Computer Use switch and an in-app dependency installer.
How do I install dsh-windows-mcp?
Run dsh plugin add github:helloHub1212/dsh-windows-mcp in your DeepSeek Harness terminal. The dsh CLI resolves the plugin from GitHub and installs it into your active profile. For reproducible installs, pin a commit hash: dsh plugin add github:helloHub1212/dsh-windows-mcp#commit.
Is dsh-windows-mcp free?
dsh-windows-mcp is a community open-source project released under the MIT license. You can inspect its source and install it for free.
Related plugins
AgentTeams plugin for DeepSeek Harness — orchestrate multiple agents as a team.
Agent-Human-Friendly, Modality-First, Enterprise-Level GenAI Workflow Platform