Overview
RoxyBrowser is the first MCP-native anti-detect browser designed specifically for AI agents, autonomous workflows, and developer tooling. Built around the Model Context Protocol (MCP), it gives LLM-powered agents a secure, structured way to interact with the web, APIs, and multi-account sessions without breaking platform policies or leaking sensitive fingerprints.
Instead of scripting unstable human browsers, developers can give their agents a dedicated browser environment with controllable identities, isolated profiles, and programmable navigation. RoxyBrowser abstracts away user fingerprints, headers, cookies, and device signals, so every AI action is consistent, reproducible, and far harder to fingerprint or block.
With RoxyBrowser, teams can orchestrate complex browser automations—such as data collection, QA, growth experiments, and operations—through a clean API and MCP-based tools. Multi-session management, proxy rotation, and environment isolation let you scale agent fleets while reducing bans, captchas, and manual maintenance.
RoxyBrowser is ideal for AI developer platforms, agent frameworks, and in-house tooling where reliability, compliance, and observability matter. Logs, event streams, and structured outputs make it easy to monitor, debug, and improve agent behavior over time. Whether you are building a single research bot or a large network of production agents, RoxyBrowser provides the browser runtime and control layer needed to operate safely and efficiently at scale.
Pricing
Free Trial
Detailed plans have not been confirmed in our catalog. Check the official website for current limits and billing terms.
Visit WebsitePrices and limits may change. Confirm the currency, billing period, seat minimum and usage caps on the official website.
Use Cases
- Run AI agents that safely log into and operate multiple web accounts in parallel without triggering anti-bot systems.
- Automate large-scale web data collection with consistent fingerprints to reduce blocks, captchas, and unstable DOM changes.
- Embed a controlled browser runtime into your AI platform so LLM-based tools can browse, test, and monitor production flows.
- Build internal AI operators that handle repetitive browser workflows such as QA checks, reporting, and dashboard updates.
- Prototype and debug browser-native agents with full visibility into requests, responses, and step-by-step interactions.
Features
MCP-native browser control
Anti-detect identity management
Isolated multi-profile sessions
Programmable navigation API
Proxy and IP rotation support
Structured logs and event stream
Agent-friendly error handling
Scalable session orchestration
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FAQ
What is RoxyBrowser and who is it for?
RoxyBrowser is an MCP-native anti-detect browser built for AI agents, developer tools, and automation platforms. It is designed for teams building browser-native agents, multi-account workflows, web automation, and AI-powered operations that require a reliable and controllable browser environment.
How is RoxyBrowser different from a regular headless browser?
Unlike generic headless browsers, RoxyBrowser is designed around AI agents and MCP. It focuses on anti-detect capabilities, identity and session isolation, and structured control surfaces that make it easier for LLM-based systems to navigate, act, and be monitored reliably at scale.
Does RoxyBrowser work with my existing AI agent or framework?
RoxyBrowser is MCP-native, so it can be integrated as a tool into any agent or framework that supports the Model Context Protocol or external HTTP-based tools. You can expose browser actions as structured tools that your LLM or orchestration layer can call programmatically.
What about pricing and licensing?
Pricing and licensing details are not publicly disclosed yet. Visit the RoxyBrowser website or contact the team directly for the latest information on plans, usage limits, and enterprise options.
Is RoxyBrowser safe and compliant to use for automation?
RoxyBrowser provides technical tools for safer, more controlled browser automation, but compliance depends on how you use it. Users are responsible for following website terms of service, data protection regulations, and applicable laws in their jurisdiction.