GhostDesk MCP Server
YV17labs/GhostDesk
MCP server that gives AI agents full control of a virtual Linux desktop — mouse, keyboard, screenshots, UI reading, clipboard, and shell. Human-like input simulation to bypass bot detection. Runs in Docker.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
YV17labs/GhostDesk is a Python MCP server licensed under MIT. MCP server that gives AI agents full control of a virtual Linux desktop — mouse, keyboard, screenshots, UI reading, clipboard, and shell. Human-like input simulation to bypass bot detection. Runs in Docker. Topics: ai-agent, desktop-automation, llm, mcp, mcp-server.
Ranked #13 out of 124 indexed tools.
Actively maintained with commits in the last week.
Ecosystem
Score Breakdown
4 stars → early stage
Last commit today → actively maintained
No issues filed → no history to score
1 contributor → solo project
No dependents → no downstream usage
Weights: Freshness 25% · Issue Health 25% · Dependents 25% · Stars 15% · Contributors 10% · How we score →
How to Improve
Matched Queries
From the README
<p align="center"> </p> <h1 align="center">GhostDesk</h1> <p align="center"> <strong>Give your AI agent eyes, hands, and a full Linux desktop.</strong><br> An MCP server that lets LLM agents see the screen, move the mouse, type on the keyboard, read UI elements, fill forms, launch apps, and run shell commands — all inside a sandboxed virtual desktop. </p> <p align="center"> <em>If a human can do it on a desktop, your agent can too.</em> </p> <p align="center"> </p> --- ## Why GhostDesk? Most AI agents are trapped in text. They can call APIs and generate code, but they can't **use software**. GhostDesk changes that. Connect any MCP-compatible LLM (Claude, GPT, Gemini...) and it gets a full Linux desktop with 25+ tools to interact with **any application** — browsers, IDEs, office suites, terminals, legacy software, internal tools. No API needed. No integration required. If it has a UI, your agent can use it. ## What can your agent do with a full desktop?Read full README on GitHub →
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