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 86/100 on our quality scale, 526th of 965 AI & Machine Learning skills we index.
Its MCP Server is 10 KB long, well organised into 20 sections with 22 code examples: a thorough specification that gives an agent plenty to work with.
It has 572 GitHub stars, a meaningful sign that others use it.
Maintenance, license and trust
- The repository was last updated about 6 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.
- Our last check on 2026-10-18 found the source still online.
- It is released under MPL-2.0, a copyleft license: you can use it, but modified versions you distribute must carry the same license.
- Its trust signals score 98/100, with no cautions. 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 2026-09-23. Automated pattern scan on 2026-09-24. 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 | 86 | 572 | 6mo ago | MCP Server |
| claude-memby thedotmack | 100 | 113.5k | today | CLAUDE.md |
| taste-skillby Leonxlnx | 100 | 110.6k | today | CLAUDE.md |
| Agent-Reachby Panniantong | 100 | 109.2k | today | CLAUDE.md |
| Understand-Anythingby Egonex-AI | 100 | 90.9k | 10d ago | 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, Claude Desktop, Gemini CLI and OpenAI Codex, 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 is MPL-2.0-licensed and scores 98/100 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?
- The repository was last updated about 6 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.
Skill content
View source on GitHubAgentify Desktop
Agentify Desktop is a local control center for AI web sessions. It lets MCP-capable tools such as Codex, Claude Code, and OpenCode use the AI subscriptions you are already signed into, while keeping browser state, files, and automation on your machine.
What It Does
- Opens a local Agentify Control Center.
- Manages signed-in browser sessions for ChatGPT, Claude, Perplexity, Gemini, Google AI Studio, and Grok.
- Exposes MCP tools for querying a tab, reading a page, navigating, uploading files, saving artifacts, and reusing stable tab keys.
- Supports parallel tabs so different agents or tasks can use separate sessions.
- Packs local repo/file context into prompts when requested.
- Saves generated images/files locally so they can be reused in follow-up prompts.
Example Prompts After MCP Setup
Once Agentify Desktop is running and registered with your MCP client, you can ask for workflows like:
- “Use Agentify with key
repo-triageto ask ChatGPT for a second opinion on this bug, then compare its answer with your own analysis.” - “Open a Perplexity tab with key
research-auth-flowand research current OAuth best practices for desktop apps.” - “Send this implementation plan to Claude in a separate Agentify tab and summarize any risks it finds.”
- “Use Agentify to generate three UI concept images, save the images as artifacts, and return the local file paths.”
- “Open Grok and ChatGPT in separate Agentify tabs, ask both to review this API design, then compare the tradeoffs.”
- “Pack this repo into context, ask ChatGPT to identify risky files, and save the conversation under a stable tab key for follow-ups.”
- “Read the current ChatGPT page through Agentify and turn the conversation into actionable TODOs.”
Requirements
- Node.js 20 or newer
- An MCP-capable CLI if you want tool integration: Codex, Claude Code, or OpenCode
Supported Sites
chatgpt.comclaude.aiperplexity.aiaistudio.google.comgemini.google.comgrok.com
Preferred Install And Run
Start the desktop GUI without cloning this repo:
npx @agentify/desktop
Equivalent explicit GUI command:
npx @agentify/desktop gui
If you prefer a global install:
npm install -g @agentify/desktop
agentify-desktop
If you want the older repo-clone and local source workflow, use DEVELOPMENT_FROM_SOURCE.md.
MCP Server
Run the MCP server over stdio:
npx @agentify/desktop mcp
Show newly-created browser tabs while debugging:
npx @agentify/desktop mcp --show-tabs
With a global install:
agentify-desktop-mcp
agentify-desktop-mcp --show-tabs
Register With MCP Clients
Codex:
codex mcp add agentify-desktop -- npx -y @agentify/desktop mcp
Claude Code:
claude mcp add --transport stdio agentify-desktop -- npx -y @agentify/desktop mcp
OpenCode config example:
{
"mcp": {
"agentify-desktop": {
"type": "local",
"command": ["npx", "-y", "@agentify/desktop", "mcp"],
"enabled": true
}
}
}
Use --show-tabs at the end of the command while debugging:
codex mcp add agentify-desktop -- npx -y @agentify/desktop mcp --show-tabs
First Run
- Start the app:
npx @agentify/desktop
-
In the Control Center, create or show a ChatGPT tab.
-
Sign in to the target vendor in the browser window.
-
Register the MCP server with your CLI.
-
Ask your MCP client to use Agentify:
Use Agentify Desktop with tab key repo-triage.
Ask ChatGPT to summarize this repo in 8 bullets and list the top 3 risky areas to change first.
Return the answer and keep the tab key stable for follow-ups.
The core loop is:
- keep a real signed-in browser session open locally
- call it from an MCP client
- reuse a stable tab key across follow-up prompts
Useful MCP Tools
The MCP server registers agentify_* tools, including:
agentify_query: send a prompt to a stable tab and return the assistant response.agentify_read_page: read visible page text from a tab.agentify_navigate: navigate a tab to a URL.agentify_ensure_ready: wait for login, CAPTCHA, or UI readiness.agentify_show/agentify_hide: bring windows forward or minimize them.agentify_status: inspect tab and readiness state.agentify_tabs,agentify_tab_create,agentify_tab_close: manage tabs.agentify_save_artifacts,agentify_list_artifacts,agentify_open_artifacts_folder: manage generated files/images.agentify_save_bundle,agentify_list_bundles: save and reuse context bundles.agentify_add_watch_folder,agentify_list_watch_folders,agentify_remove_watch_folder: manage watched folders.
Artifact Workflow
Generate an image or file in a stable tab:
{
"tool": "agentify_query",
"arguments": {
"key": "ui-concepts",
"prompt": "Generate 3 clean UI concept images for a compact desktop developer tool. Keep backgrounds neutral and avoid text."
}
}
Save the generated images locally:
{
"tool": "agentify_save_artifacts",
"arguments": {
"key": "ui-concepts",
"mode": "images",
"maxImages": 3
}
}
Reattach one of the returned file paths in a follow-up:
{
"tool": "agentify_query",
"arguments": {
"key": "ui-concepts",
"prompt": "Use the attached concept image and create a more minimal variant with stronger contrast.",
"attachments": ["/absolute/path/to/concept.png"]
}
}
Codebase Context Workflow
Ask Agentify to pack local files or folders into a prompt:
{
"tool": "agentify_query",
"arguments": {
"key": "repo-review",
"prompt": "Summarize this codebase in 8 bullets and list the top 3 risky files to change first.",
"contextPaths": ["/absolute/path/to/repo"]
}
}
Control context size:
{
"tool": "agentify_query",
"arguments": {
"key": "repo-review",
"prompt": "Focus only on rendering and state management.",
"contextPaths": ["/absolute/path/to/repo"],
"maxContextChars": 120000,
"maxContextFiles": 80,
"maxContextInlineFiles": 30
}
}
The tool result includes packedContextSummary so you can see what was included, attached, or skipped.
Browser Backend
Agentify Desktop supports two browser backends:
chrome-cdp: launches or attaches to a Chrome-family browser over Chrome DevTools Protocol. This is the default and recommended backend.electron: embedded windows managed by Agentify Desktop. Use this only as an explicit fallback.
Chrome CDP is the default because SSO providers commonly block embedded Electron login:
npx @agentify/desktop
Optional Chrome CDP settings:
AGENTIFY_DESKTOP_CHROME_DEBUG_PORT=9333 npx @agentify/desktop
AGENTIFY_DESKTOP_CHROME_BIN="/Applications/Google Chrome.app/Contents/MacOS/Google Chrome" npx @agentify/desktop
You can also pass GUI flags:
npx @agentify/desktop gui --browser-backend chrome-cdp
npx @agentify/desktop gui --browser-backend electron
npx @agentify/desktop gui --chrome-debug-port 9333
Chrome CDP profile modes:
Agentify isolated profile: safest default.Existing Chrome profile: reuses your normal Chrome session. Fully quit Chrome first so the profile is not already locked.
CAPTCHA And Login Policy
Agentify Desktop does not bypass CAPTCHAs or use third-party solvers. If a verification or login challenge appears, automation pauses, brings the relevant window forward, and waits for you to complete the step manually.
If your account uses Google, Microsoft, or Apple SSO, keep auth popups enabled in the Control Center. If embedded login remains unreliable, use Chrome CDP.
Windows Notes
Use Node.js 20 or 22 on Windows. Agentify Desktop is tested against Windows in CI, including the npm CLI launcher path.
Chrome CDP is still the recommended backend on Windows because Google and Microsoft SSO can block embedded Electron login. Agentify looks for Chrome, Chromium, Brave, and Microsoft Edge in the usual install locations and on PATH.
If Chrome CDP cannot find your browser, set the executable explicitly:
$env:AGENTIFY_DESKTOP_CHROME_BIN = "C:\Program Files\Google\Chrome\Application\chrome.exe"
npx @agentify/desktop
Local Data And Privacy
Agentify Desktop is local-first:
- The local API binds to
127.0.0.1. - The local API requires a bearer token stored under
~/.agentify-desktop/. - Electron browser data is stored under
~/.agentify-desktop/electron-user-data/. - Chrome CDP profile data is stored under
~/.agentify-desktop/chrome-user-data/unless you choose an existing profile. - Artifacts, bundles, logs, and state are stored under
~/.agentify-desktop/.
Anyone with access to your machine account may be able to access local session data. Treat the machine account as the security boundary.
Environment Variables
AGENTIFY_DESKTOP_STATE_DIR: override the local state directory.AGENTIFY_DESKTOP_PORT: choose the local API port.AGENTIFY_DESKTOP_SHOW_TABS=true: show newly-created tabs by default.AGENTIFY_DESKTOP_MAX_TABS: cap parallel tabs.AGENTIFY_DESKTOP_BROWSER_BACKEND=electron|chrome-cdp: choose browser backend.AGENTIFY_DESKTOP_CHROME_BIN: choose Chrome/Chromium executable.AGENTIFY_DESKTOP_CHROME_DEBUG_PORT: choose Chrome debug port.AGENTIFY_DESKTOP_CHROME_PROFILE_MODE=isolated|existing: choose Chrome profile mode.AGENTIFY_DESKTOP_CHROME_PROFILE_NAME: choose an existing Chrome profile name.
Development From Source
Source checkout, quickstart script usage, local build commands, and source-only debugging notes live in DEVELOPMENT_FROM_SOURCE.md.
Package Commands
The npm package exposes these commands:
agentify-desktop: default GUI launcher, withmcpsubcommand support.agentify-desktop-gui: explicit GUI alias.agentify-desktop-mcp: explicit MCP alias.
Examples:
npx @agentify/desktop
npx @agentify/desktop mcp
npx -p @agentify/desktop agentify-desktop-mcp
License And Trademarks
The code is licensed under MPL-2.0. Agentify trademarks and branding are not included in that license. See TRADEMARKS.md.
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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.
