Cloudbrowser

CloudBrowser AI is a cloud-based browser automation platform that provides real Chrome browser sessions for AI agents, developers, and automation workflows. It allows AI assistants and software agents to interact with websites by navigating pages, reading content, clicking elements, filling forms, and extracting information. Instead of relying entirely on a browser running on a user’s computer, CloudBrowser provides isolated browser instances hosted in the cloud.

The platform is designed to connect AI assistants with real web browsers. It supports ChatGPT, Claude, Cursor, Visual Studio Code, Codex, Gemini CLI, Claude Code, n8n, Make, and other tools that support the Model Context Protocol (MCP). Users can connect through a hosted MCP server, browser API, or supported software development kits.

One of CloudBrowser’s main features is its MCP server, which provides access to 20 browser tools. These tools allow AI agents to open and manage browser sessions, navigate websites, read page content, identify page elements, capture screenshots, click buttons, enter text, and execute JavaScript. This makes it possible to automate browser-based tasks through natural-language instructions or custom agent workflows.

CloudBrowser also provides a live remote desktop feature. Users can watch browser sessions as they run and take manual control when necessary. This is useful when a workflow requires human involvement, such as completing a login or handling a website interaction that an automated agent cannot finish independently. Once the user has completed the necessary step, the agent can continue working with the same browser session.

Another important capability is saved browser sessions. CloudBrowser can preserve cookies and local storage so users can resume previously authenticated sessions without repeating the entire login process. This helps agents continue authorized workflows across different tasks while keeping session management within the user’s CloudBrowser account.

The platform uses isolated Chrome instances, with support for Chromium and Chrome Headless Shell. Each browser runs in its own environment, helping separate sessions and their associated data. CloudBrowser also advertises premium proxy access, browser fingerprint configuration, and support for custom proxy arrangements. These features are intended for managing different browser environments and network requirements; users remain responsible for respecting the terms and access rules of the websites they interact with.

For developers, CloudBrowser provides a browser API that can launch cloud browser instances and connect them through the Chrome DevTools Protocol. Developers can use familiar automation frameworks such as Puppeteer and Playwright to control browser sessions. Official SDKs are available for .NET and Node.js, while developers using other languages can connect through HTTP requests and the Chrome DevTools Protocol.

CloudBrowser supports several practical automation scenarios. These include web research, website content extraction, price monitoring, lead research, website testing, screenshot capture, and authorized back-office workflows. For example, an AI agent can visit several product pages, collect information, and summarize the results. It can also navigate a website’s signup flow and capture screenshots to help identify interface problems.

The platform includes usage monitoring based on browser time and open tabs. One usage unit represents 30 seconds of browser time per tab. This system allows users to estimate their consumption and select a subscription according to their expected workload. The Basic plan supports up to 10 concurrent browser instances, while Premium supports up to 25.

CloudBrowser is suitable for developers building browser-enabled AI agents, businesses automating repetitive web tasks, and teams that need remote browser infrastructure. Its combination of MCP connectivity, browser APIs, live remote access, saved sessions, and developer SDKs makes it a practical infrastructure option for AI-powered browser automation.

Pricing

CloudBrowser uses a subscription-based pricing model with a 7-day free trial on its Basic plan. It offers two standard paid subscriptions and a custom Enterprise-style option.

Monthly pricing:

• Basic: $25 per month, including 250 browser hours, 10 concurrent browser instances, up to three tabs per instance, premium proxy access, live remote desktop, and email support.

• Premium: $90 per month, including 1,000 browser hours, 25 concurrent browser instances, up to three tabs per instance, premium proxy access, live remote desktop, and priority support.

• Custom: Contact the company for pricing. Includes customized browser hours, concurrency, dedicated proxies, live remote desktop, and dedicated support management.

Annual billing:

CloudBrowser advertises two months free with annual subscriptions, reducing the effective subscription cost compared with paying monthly.

All paid plans include a 14-day money-back guarantee. The open-source MCP connector is free, but actual cloud browser usage requires a paid CloudBrowser subscription after the Basic trial.

Review – CloudBrowser

CloudBrowser provides useful infrastructure for connecting AI agents to real browser environments. Its biggest advantage is that it allows assistants to interact with websites through actual Chrome sessions instead of relying only on text-based browsing or static page information.

Its MCP server is particularly valuable because it gives compatible AI assistants access to a collection of browser tools through a single connection. The availability of 20 tools for navigation, content extraction, screenshots, and browser interaction makes the platform suitable for a range of automation workflows.

Another strength is its support for human supervision. The live remote desktop allows users to monitor browser activity and take control when a task requires manual attention. Saved sessions also make it easier to continue authorized workflows without repeatedly signing in.

Developers benefit from its API, Puppeteer and Playwright compatibility, and official .NET and Node.js SDKs. Its support for multiple AI assistants and development environments also provides flexibility when building agent-based applications.

However, CloudBrowser’s subscription model may be expensive for users who need only occasional browser automation. Browser usage is measured by time and tabs, so complex workflows with multiple open tabs can consume usage units quickly. The Basic plan also has lower concurrency limits than Premium, which may restrict larger automation projects.

Another consideration is that CloudBrowser is primarily a browser infrastructure service rather than a complete AI agent builder. Users may need a separate AI assistant or automation framework to plan and execute their workflows. Developers may also need technical knowledge to make full use of its API and SDKs.

CloudBrowser is a strong option for developers, businesses, and teams that need cloud-hosted browser sessions for AI agents and web automation. Its MCP integration, real Chrome environments, saved sessions, and remote desktop controls make it particularly useful for browser-based workflows.