desktop
Agentify Desktop lets Codex/Claude/OpenCode control your logged-in ChatGPT, Claude, AiStudio, Gemini, Grok, Perplexity web sessions via MCP, parallel hidden/visible tabs, file upload + image download
Install / Use
claude mcp add agentify-sh -- npx -y github:agentify-sh/desktopIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
AI & Machine LearningSupported Platforms
Our assessment of desktop
desktop scores 40/100 on our quality scale, 956th of 975 AI & Machine Learning skills we index.
Its MCP Server is 2.0 KB long, written without headings and no code examples: moderately detailed.
It has no GitHub stars yet, so there is no community track record; judge it on its content.
Maintenance, license and trust
- We could not determine when the repository was last updated.
- No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
- Its trust signals score 68/100, with 3 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.
AI review by kimi-k2.7-code on 2026-10-11. Automated pattern scan on 2026-10-11. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
desktop compared with similar skills
All 4 of these similar skills score higher than desktop; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| desktop (this skill)by agentify-sh | 40 | 0 | — | MCP Server |
| claude-memby thedotmack | 100 | 99.3k | 1d ago | CLAUDE.md |
| Agent-Reachby Panniantong | 100 | 95.5k | 3d ago | CLAUDE.md |
| Understand-Anythingby Egonex-AI | 100 | 85.9k | today | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 75.0k | today | CLAUDE.md |
Frequently asked questions
- How do I install desktop?
- Run
claude mcp add agentify-sh -- npx -y github:agentify-sh/desktop. The install tabs above show the steps for each supported agent. - Which AI agents does desktop work with?
- It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
- Is desktop safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It declares no license and scores 68/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is desktop still maintained?
- We could not determine when the repository was last updated.
Skill content
View source on GitHub{ "name": "@agentify/desktop", "version": "0.2.4", "description": "Agentify Desktop control center and MCP server for local AI web sessions", "license": "MPL-2.0", "type": "module", "main": "main.mjs", "bin": { "agentify-desktop": "bin/agentify-desktop.mjs", "agentify-desktop-gui": "bin/agentify-desktop.mjs", "agentify-desktop-mcp": "bin/agentify-desktop.mjs" }, "files": [ "CHANGELOG.md", "README.md", "SECURITY.md", "TRADEMARKS.md", "artifact-store.mjs", "browser-backend.mjs", "bundle-store.mjs", "chatgpt-controller.mjs", "chrome-cdp-backend.mjs", "config.mjs", "context-packer.mjs", "electron-browser-backend.mjs", "http-api.mjs", "main.mjs", "mcp-lib.mjs", "mcp-server.mjs", "orchestrator.mjs", "orchestrator/", "popup-policy.mjs", "selectors.json", "shutdown.mjs", "state.mjs", "tab-manager.mjs", "ui/", "vendors.json", "watch-folder.mjs", "bin/" ], "scripts": { "start": "electron .", "mcp": "node mcp-server.mjs", "orchestrator": "node orchestrator.mjs", "test": "node --test tests/.test.mjs", "dist": "electron-builder" }, "dependencies": { "@modelcontextprotocol/sdk": "^1.29.0", "electron": "^39.8.7", "zod": "^3.22.3" }, "devDependencies": { "electron-builder": "^26.8.1" }, "overrides": { "@hono/node-server": "^1.19.14", "ajv": "^8.18.0", "express-rate-limit": "^8.3.2", "hono": "^4.12.14", "path-to-regexp": "^8.4.2" }, "publishConfig": { "access": "public" }, "build": { "appId": "com.agentify.desktop", "productName": "Agentify Desktop", "files": [ "**/", "!dist/", "!tests/" ], "directories": { "output": "dist" }, "mac": { "category": "public.app-category.developer-tools", "target": [ "dmg", "zip" ] }, "win": { "target": [ "nsis" ] }, "linux": { "target": [ "AppImage" ] } } }
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.