Hyperbrowser MCP. Let your agent browse the live web, not just read APIs.

Hyperbrowser Web Infrastructure: Your Agent Needs to See What a Human Sees.

Look, if your AI client needs to interact with anything on the live web—anything that isn't just a neat API endpoint—it's gotta act like a person using a browser. This infrastructure gives your agent a full cloud browser environment. It lets it navigate complex websites naturally; you don't have to write code for every single interaction.

You can run headless sessions, scrape messy dynamic content, and pull structured data from any URL without giving up your sanity.

Managing the Browser Environment

The create_session tool is what gets your agent connected. It spins up a remote browser session—you get connection details right away. You can specify configs like proxy settings or running in stealth mode, which lets you bypass basic detection systems. Once it's running, you use list_sessions to see every managed session, active or done, so you know exactly what resources you're chewing through.

If you need a quick health check on an existing connection, run get_session; that tells you the current status, how long it's been up, and what endpoints are available for that specific session ID. When your job is finished, don't forget to use stop_session. It cleans everything up and frees those resources.

Pulling Data: Smart Extraction vs. Raw Access

Sometimes you need data—and not just any data. The extract_data tool uses LLM capabilities to pull specific, structured facts from a URL based on your prompt. You tell it what you want—say, 'product name and current price'—and give an optional JSON schema. That’s it; the model handles the messy parsing and spits out clean data for you.

When smart extraction isn't enough, or you need to process a page immediately, page_content retrieves the raw, rendered HTML content of a URL right away. It's synchronous, meaning you get the whole thing instantly so your agent can work on it without waiting. You might also need to run custom logic; that’s where run_script comes in.

It lets you execute arbitrary JavaScript code directly within an active session, letting your agent test page states or perform specific interactions that pure content retrieval misses.

For a visual audit trail, use page_screenshot. This tool takes and returns metadata or a URL for a full-page screenshot of any managed browser session. It's perfect for QA when you need proof the layout rendered correctly.

Advanced Scraping & Automation

If you're dealing with something massive, like scraping thousands of pages where content loads slowly or requires multiple steps, don't try to do it all at once. You kick off a background job using start_scrape for your target URL; this gives you a job ID. The system handles the complex loading and retries behind the scenes.

To check on that long-running process, poll get_scrape_job. When the job finishes, it returns the complete HTML payload, letting you grab all the data once and for all.

This whole suite means your agent doesn't just talk to APIs; it can actually browse. You control every step: starting a session with proxies using create_session, checking its health with get_session, running custom code with run_script, getting structured JSON with extract_data, and capturing the whole damn picture with page_screenshot. It's the full stack for web automation.

You'll use it, period.