Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@CloudBrowser MCP Server open a cloud browser, go to example.com and screenshot it"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Give ChatGPT, Claude and your AI agents a real browser. CloudBrowser runs Chrome in the cloud. Your assistant opens a browser, navigates, reads pages, clicks, types and takes screenshots, and you can watch live or take over at any time.
Endpoint: https://mcp.cloudbrowser.ai (Streamable HTTP)
Auth: OAuth, sign in with your CloudBrowser account
Website: https://cloudbrowser.ai/mcp
Official MCP Registry: ai.cloudbrowser/mcp
Open cloud Chrome browsers in your CloudBrowser account and connect to them.
Navigate, read page content, find elements, click, type, run scripts and take screenshots.
Save browser sessions and resume them later.
Start a remote desktop to watch the browser live or take over.
Detect CAPTCHAs. Login and verification walls stay with you.
Related MCP server: Chrome MCP Server
The server uses OAuth. Your client opens a browser window, you sign in with your CloudBrowser account and approve access. You do not copy an API key.
Open Settings → Connectors → Add custom connector, enter https://mcp.cloudbrowser.ai and select Connect.
claude mcp add --transport http cloudbrowser https://mcp.cloudbrowser.aiThen run /mcp in Claude Code and authenticate cloudbrowser.
codex mcp add cloudbrowser --url https://mcp.cloudbrowser.ai
codex mcp login cloudbrowserAdd this to ~/.cursor/mcp.json:
{
"mcpServers": {
"cloudbrowser": { "url": "https://mcp.cloudbrowser.ai" }
}
}code --add-mcp '{"name":"cloudbrowser","type":"http","url":"https://mcp.cloudbrowser.ai"}'gemini mcp add --transport http cloudbrowser https://mcp.cloudbrowser.aiAdd a custom connector (in ChatGPT, developer mode) with the URL https://mcp.cloudbrowser.ai. Any client that supports Streamable HTTP and MCP OAuth works.
The server advertises 20 tools. Your client gets the current schemas from tools/list.
Workspace: browser_workspace, resume_saved_session
Browser lifecycle: open_browser, close_browser, get_browsers, start_remote_desktop, stop_remote_desktop
Saved sessions: get_saved_sessions, remove_saved_session
Connections: connect_to_browser, disconnect_browser, get_connected_browsers
Page work: navigate_to_url, get_page_content, click_element, type_text, get_elements, take_screenshot, evaluate_script, detect_captcha
OAuth 2.1 with PKCE and dynamic client registration. Sign in with your CloudBrowser account. Scope: browser:control (openid email optional). Developers can send their own account token instead: Authorization: Bearer <your CloudBrowser API token>. Keep the token in your client's secret settings, never in a prompt.
You need a CloudBrowser account. Browser usage follows your CloudBrowser plan.
Website: https://cloudbrowser.ai
MCP setup page: https://cloudbrowser.ai/mcp
Native client packages (Claude Code, Gemini CLI and more): https://github.com/CloudBrowser-AI/skills
Privacy policy: https://cloudbrowser.ai/privacy
This repository is the public home of the hosted CloudBrowser MCP server. It holds this setup guide and the registry metadata (server.json for the official MCP Registry, glama.json for Glama). The server runs as a hosted service at https://mcp.cloudbrowser.ai. Its source code is not in this repository.
Found a problem or have a question? Open an issue.
The contents of this repository are available under the MIT License.
This server cannot be deployed
Let your AI agent operate any website through a real, logged-in browser session.
Cloud browsers for AI agents: saved logins, residential IPs, live human takeover, 57 browser tools.
Undetectable cloud browser sessions for AI agents and scrapers. Navigate, extract, click, captcha.
Control a real browser from AI agents: navigate, click, type, screenshot, read the page.