Introducing Browserless Agent: the fast MCP browser agent that helps your AI client finish the job

One MCP tool, one session, every task done

Every AI client that needs to navigate the live web hits the same set of problems:

• Sessions reset mid-task.
• Form fills break on the penultimate field.
• Bot detection kills the request before the page loads.

The underlying issue isn't the LLM – it's the browser infrastructure underneath.

Browserless Agent is the fastest browser agent we've benchmarked, and the only MCP-native option that drops in without any harness code. One config block in Claude Desktop, Cursor, VS Code, or Windsurf, and your AI client has a persistent, production-grade browser to work with.

What is Browserless Agent?

Browserless Agent is a single stateful MCP tool, part of the Browserless MCP Server, built on top of BrowserQL – Browserless's browser automation engine, which is backed by infrastructure that's been running in production since 2017.

It gives any MCP-compatible AI client – including Claude Desktop, Claude Code, Cursor, VS Code with GitHub Copilot, and Windsurf – a remote stateful browser over a persistent session connection.

Where most MCP browser tools expose 60+ discrete tools (like Playwright MCP) or require a Python or TypeScript harness (like Browser Use and Stagehand), Browserless Agent is one tool that accepts 25+ browser commands via { method, params }. The session stays open between calls. Cookies, login state, and page context survive. And multiple mutations can be batched into a single call.

The agent follows a tight ReAct loop on every task:

• Snapshot – The agent calls the snapshot command, which returns a compact list of interactive and informational elements with stable selectors – small enough for fast LLM reasoning, and more reliable than raw DOM or screenshots when pages shift.
• Plan – The LLM reads the snapshot and decides what to do next: navigate, click, fill a field, handle a keyboard event.
• Act – The agent issues a BQL method. Multiple mutations can be batched in one call. The session stays warm, and the loop repeats until the task is done.

Why we launched Browserless Agent

Most browser tools were built for testing workflows, not agent workloads. They assume the developer controls the loop. When an LLM takes over, those assumptions break fast.

The things that matter for agent reliability – persistent session state, structured page representations that don't shift when a CSS class changes, efficient tool surface area, and infrastructure-level bot detection – weren't being handled at the layer where it's easiest to solve them.

Teams were papering over these gaps with harness code, retry logic, and brittle workarounds.

We had nearly a decade of production browser infrastructure already solving the hard parts. With Browserless Agent, we're exposing that directly to the MCP layer, so AI clients can use it.

Three things make it architecturally different from everything else in this space:

• One tool, not sixty. Playwright MCP exposes 60+ discrete tools. Browserless Agent uses one, with the constraint living in the tool description, not the surface area, which means fewer decisions for the LLM and fewer failure modes per call.
• Stateful sessions, not stateless calls. Most MCP browser tools treat each call in isolation, meaning no cookies, no login state, and no page history carried forward. Browserless Agent keeps a single persistent browser session open across all tool calls, so your agent can log in once and work across an entire multi-step workflow without re-authenticating.
• Command batching. A form with 8 fields doesn't need 10+ round trips. With command batching, multiple BQL mutations go in a single MCP call. It's the difference between a 2-minute form fill and a 7-minute one.

How Browserless Agent performs against the alternatives

We ran six real-world tasks across automation, scraping, commerce, and finance, each task performed by Claude 3.5 Sonnet connected to each tool. Browserless Agent was the fastest in every category and completed all six tasks without degraded accuracy or failure.

Task	Browserless Agent	Playwright MCP	Browser Use	Browserbase	ChatGPT	Claude Chrome ext.
Basic interactions (TodoMVC)	18s ⭐️	28s	36s	35s	32s	37s
Complex form fill (DemoQA)	2m 03s ⭐️	3m 42s	3m 05s	7m 15s ⚠️	5m 33s	8m 44s
Search & scrape (Buscalibre)	2m 13s ⭐️	2m 57s	3m 34s	3m 20s	16m 21s ❌	8m 53s
Commerce (Amazon multi-add)	2m 30s ⭐️	3m 33s	19m 07s ❌	N/A ❌	N/A ❌	31m 12s
Flight search (Google Flights)	4m 08s ⭐️	5m 11s	4m 10s	5m 14s	5m 10s	13m 58s
Finance scrape (Yahoo Finance)	41s ⭐️	1m 24s	51s	N/A ❌	3m 21s ❌	1m 21s

⚠️ = degraded accuracy. ❌ = failed to complete.

How Browserless Agent compares

Browserless Agent is one tool with a persistent session, command batching, and an accessibility-tree snapshot built for LLM reasoning. No other browser agent combines all four.

	Browserless Agent	Playwright MCP	Browser Use	Stagehand	ChatGPT / Claude native
Setup	One MCP config block	One MCP config block	Python harness	Node/TS SDK	Built in
Tool surface	1 tool	60+ tools	Harness API	3 primitives + SDK	Black box
Session model	Persistent (stateful)	Per-profile (stateful)	HTTP (stateless)	CDP (stateless)	N/A
Page representation	Accessibility tree	Accessibility tree	Vision + DOM	Mixed	Vision
Command batching	Yes	No	No	No	No
Stealth + CAPTCHA	Yes (built in)	No	Via add-on	Via Browserbase	No

What you can build with Browserless Agent

Replace fragile internal automation pipelines

Ops teams and AI engineers dealing with brittle RPA setups can benefit hugely from this tool.

The kinds of workflows that look simple but break constantly in production – pulling invoices from a finance portal, reconciling payments across two systems, populating an onboarding form from a CSV – need session state to survive across steps.

Browserless Agent provides reliable form handling and error recovery that doesn't require a developer to babysit it.

In testing, our agent logged into a finance portal, navigated 4 pages, filled a 12-field form, and submitted, all without a single re-auth prompt.

The DemoQA form-fill benchmark illustrates this: Browserless Agent completed it in 2m 03s; Browserbase took 7m 15s and returned degraded results.

Extract structured data from sites that block you

Web scraping at any real scale runs into the same wall: dynamic pages, bot detection, CAPTCHAs, pagination, and layouts that shift.

The accessibility-tree snapshot Browserless Agent returns is more stable across page redesigns than CSS selectors or raw DOM, because it's built on ARIA roles.

BQL underneath handles the rest: stealth rendering, CAPTCHA solving, and residential proxy routing.

Build personal agents that work on real consumer apps

This is where Browserless Agent excels.

Consumer apps – Google Flights, Amazon, review aggregators – are where existing agents fail most spectacularly. They're JavaScript-heavy, bot-detection aware, and impatient with slow or unusual request patterns.

On the Amazon multi-item add benchmark, Browserless Agent completed the task in 2m 30s – three out of five of the other tools failed or didn't attempt it. Of the alternatives that completed it, none came close on time.

If you're building agent-powered products where a user is watching the task run, speed matters as much as reliability – and this is where everything else lets you down.

What your agent doesn't have to handle

The hardest parts of browser automation, the ones that break pipelines at 2 AM, are handled at the infrastructure layer. Browserless Agent inherits all of it:

• Stealth rendering – Pages that detect headless browsers are handled automatically. Browserless uses fingerprinting techniques tuned for production traffic, so your agent sees what a real user would.
• CAPTCHA solving – When a CAPTCHA fires mid-session, Browserless resolves it without interrupting the agent's workflow. No third-party integration, no manual fallback.
• Residential proxies – Geo-restricted content, rate-limited endpoints, and IP-based blocks can be routed through residential proxies when enabled. No proxy configuration and no IP rotation logic needed – just pass the proxy option at session creation.

Get started in under a minute

There are two ways to connect: the hosted MCP server (OAuth, with no token needed) or a local install (requires your API token from the Browserless dashboard). Browserless's free tier is enough to get started.

MCP config

The quickest way to connect is through the hosted MCP server. Add this URL to your AI client's MCP config – no install and no package manager required, just OAuth to authenticate:

https://mcp.browserless.io/mcp

Local install

If you'd rather run the server locally, install it with npx:

{
  "mcpServers": {
    "browserless": {
      "command": "npx",
      "args": ["-y", "@browserless.io/mcp"],
      "env": {
        "BROWSERLESS_TOKEN": "YOUR_API_TOKEN_HERE"
      }
    }
  }
}

What a session looks like

Once connected, your agent can take on tasks like this:

• User: Pull every Pynchon book from Buscalibre with prices, sorted from cheapest to most expensive.
• Agent: [calls browserless_agent].
  • snapshot: returns accessibility tree of search results page.
  • batch: extract title and price per listing across visible results, then navigate to the next page.
  • snapshot: confirms final page, verifies data completeness.
• Agent: Here are the results – 14 books found, sorted by price.

The session stays open across the whole task. No re-authentication, no fresh browser spin-up between calls, no lost state.

Choose browser infrastructure that works at the agent layer

Most browser tools assume a developer is in the loop. Browserless Agent is designed for the workload where the LLM is driving, and the infrastructure needs to hold up without hand-holding.

One MCP tool, a persistent session, and command batching, with nearly a decade of browser infrastructure underneath. If your AI client needs to browse the real web reliably, this is the setup that actually finishes the job.

Sign up for free to get your API key, paste the config block into your AI client, and you're running in under a minute.

Browserless Agent FAQs

What is a browser agent?

A browser agent is an AI that can navigate pages, fill forms, extract data, and complete multi-step tasks on the live web without a human at the keyboard.

Browserless Agent gives any MCP-compatible AI client a remote browser to work with in agent mode, using a single tool that accepts 25+ browser commands.

How is Browserless Agent different from Playwright MCP?

Playwright MCP exposes 60+ discrete tools, and while it does maintain a browser profile, it spreads browsing across a large tool surface with no command batching.

Browserless Agent is one tool with a persistent session and command batching built in.

How is Browserless Agent different from Browser Use and Stagehand?

Browser Use requires a Python harness and uses vision-based page representation with unstable numeric indices that break when pages shift. Stagehand needs a Node or TypeScript SDK.

Browserless Agent is one MCP tool with zero harness code – paste a config block, and your AI client has a persistent browser session. The accessibility-tree snapshot it uses is smaller, faster, and more stable for LLM reasoning than vision or raw DOM.

What AI clients does Browserless Agent work with?

All clients that support MCP tooling: Claude Desktop, Claude Code, Cursor, VS Code with GitHub Copilot, Windsurf, and any agent framework that can call MCP servers. Local models with MCP support will also work.

Is Browserless Agent open source?

The server's source is public on GitHub under the SSPL. It runs on BQL and works with open standards – Puppeteer, Playwright, and the Model Context Protocol – with no lock-in to proprietary abstractions.

How is it priced?

Browserless Agent runs on your existing Browserless plan, so there's no separate pricing tier. Browser sessions are billed the same way as any other Browserless usage. The free tier is enough to get started and doesn't require a credit card.

Do I need a Browserless account?

Yes. Browserless Agent uses your Browserless infrastructure for browser sessions, stealth rendering, CAPTCHA solving, and proxy routing. You'll need a Browserless API key, which you get when you sign up.

Can I self-host Browserless Agent?

If you're running self-hosted Browserless infrastructure, Browserless Agent works with it. The same API, the same MCP config, the same capabilities – just pointed at your own deployment. Cloud, managed cloud, and self-hosted all use the same interface.

What happens when a CAPTCHA fires mid-task?

Browserless handles it at the infrastructure layer. CAPTCHA solving is built in, so there's no third-party integration to wire up and no manual fallback for your agent to hit. The session continues after the CAPTCHA resolves.