Browserbase MCP. Give your AI agent a real, controllable web browser.
Gemini Works with every AI agent you already use
…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
Browserbase provides cloud browser infrastructure for AI agents. It lets you create, control, and manage isolated headless Chromium sessions directly via CDP.
You can use it to run complex web interactions—like filling forms, logging in, or navigating Single Page Applications (SPAs)—at scale without managing underlying infrastructure.
It's the service layer that gives your agent a real browser to work with.
What your AI agents can do
Create browser session
Launches a new cloud browser session and returns a CDP WebSocket URL for connection.
Get browser session
Retrieves specific status and details for a browser session using its unique ID.
List browser sessions
Lists all sessions in your account, allowing filtering by status (RUNNING, COMPLETED, ERROR).
The create_browser_session tool spins up an isolated Chromium instance and returns a WebSocket URL for programmatic control.
The get_browser_session tool lets you check the current status, connection URL, and details of a specific session ID.
The list_browser_sessions tool retrieves a list of all sessions—including running, finished, or failed ones—across your account.
The stop_browser_session tool terminates an active session by its ID, releasing the underlying computational resources.
Ask AI about this MCP
Supported MCP Clients
Gemini Waiting for input…
019d7564create browser session
Launches a new cloud browser session and returns a CDP WebSocket URL for connection.
019d7564get browser session
Retrieves specific status and details for a browser session using its unique ID.
019d7564list browser sessions
Lists all sessions in your account, allowing filtering by status (RUNNING, COMPLETED, ERROR).
019d7564stop browser session
Terminates a currently running browser session by providing its ID.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Browserbase, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,700+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
What you can do with this MCP connector
Browserbase MCP Server - Headless Browser Automation
Your agent needs a real browser to work? This server gives it one. You spin up isolated Chromium sessions in the cloud, letting your agent interact with the web like a person does. You don't gotta worry about managing the underlying hardware; it's all ready to go.
Launching and Managing Sessions
To start, you use create_browser_session to launch a new cloud browser session; it hands you a CDP WebSocket URL you gotta connect to. You can then use get_browser_session to check the status and details of a specific session ID, and list_browser_sessions pulls a list of all sessions—running, finished, or failed—across your account.
When your agent's job is done, you gotta call stop_browser_session with the ID to kill the session and free up those resources.
What You Get
This infrastructure lets your agent handle the tough stuff: logging into sites, navigating through single-page applications (SPAs), and filling out multi-step forms. It handles web scraping that needs JavaScript running or authentication, and it runs browser-based tests across tons of environments without you provisioning any virtual machines. You're basically giving your agent a full-stack browser it can actually use.
How Browserbase MCP Works
- 1 Subscribe to the Browserbase server and input your API key. This grants your agent access to the cloud browser infrastructure.
- 2 Your agent calls
create_browser_sessionto launch a browser instance, receiving the necessary CDP WebSocket URL. - 3 The agent uses that URL with a framework like Playwright to perform web actions, and finally calls
stop_browser_sessionto clean up the resource.
The bottom line is, your agent gets a complete lifecycle: launch, interact, and shut down the browser session, all through discrete API calls.
Who Is Browserbase MCP For?
This is for the AI Agent Developer who needs their agent to do more than just call APIs. If your task requires interacting with a modern website—like a complex login flow, scraping dynamic data, or filling out a multi-step form—you need a real browser. It's essential for QA Engineers and Web Scraping specialists who can't rely on simple HTTP requests.
Uses create_browser_session to give agents a real browser context, enabling them to perform complex web interactions like navigating SPAs or handling JavaScript-rendered content.
Runs browser-based tests at scale. They use list_browser_sessions and get_browser_session to monitor multiple test runs and ensure resources are properly managed.
Uses the session control tools to access content that requires JavaScript execution or authentication, pulling data that simple scrapers miss.
What Changes When You Connect
- Real Web Interaction: Your agent performs actual clicks and navigations, not just API calls. Use
create_browser_sessionto handle dynamic content and SPAs. - Full Visibility: Need to know why a job failed?
list_browser_sessionsshows you every active, completed, or errored session, letting you track resource usage across the board. - Resource Control: Don't let jobs leak resources. Use
stop_browser_sessionto immediately kill a running session and free up the compute time. - Debugging Power:
get_browser_sessionlets you check the status and visited pages of a specific session ID. This is key for debugging complex, multi-step web workflows. - Scalable Automation: You get headless Chromium sessions at scale. This means you can run high-volume web scraping or testing without worrying about managing underlying VMs.
- CDP Compatibility: The session output provides a standard CDP WebSocket URL. This means your agent can connect using industry-standard tools like Playwright or Puppeteer.
Real-World Use Cases
Automating a multi-step login process
The marketing team needs the agent to log into a client portal that uses a complex OAuth flow. They call create_browser_session to spin up the browser. The agent then uses the resulting WebSocket URL to input credentials, click 'submit,' and navigate to the protected dashboard. Finally, it calls stop_browser_session to clean up the session.
Scraping data from a JavaScript-heavy dashboard
A data science team needs specific metrics from a financial dashboard that only loads data after complex JavaScript execution. They use the session tools to create a browser instance, navigate to the URL, wait for the necessary elements to load, and scrape the visible content before terminating the session.
Running large-scale QA regression tests
The QA team needs to run 500 browser-based regression tests overnight. Instead of spinning up 500 VMs, they use the MCP server to list_browser_sessions and manage the resource pool, ensuring every test run starts with create_browser_session and ends with stop_browser_session.
Debugging a failing automation job
The developer's agent fails mid-run. Instead of guessing what went wrong, they check the logs using list_browser_sessions to find the session ID, then use get_browser_session to check the page history and status, pinpointing exactly where the script broke.
The Tradeoffs
Assuming a simple HTTP request is enough
Trying to get data from a modern web application by just sending an API call. The data is loaded via client-side JavaScript, so the API call returns empty or stale JSON.
→
You must use create_browser_session to launch a real browser. Then, use the resulting WebSocket URL to interact with the page, forcing the browser to execute the JavaScript and load the true content.
Forgetting to clean up sessions
An agent runs a job and finishes, but no one calls stop_browser_session. The session remains running, draining resources and increasing costs.
→
Always wrap your task logic: 1. create_browser_session -> [Run task] -> stop_browser_session. Use the tool to guarantee resource cleanup.
Using old session IDs
Calling get_browser_session or stop_browser_session with an ID that was already manually terminated or never created. This causes an API failure and stalls the workflow.
→
Before acting, always call list_browser_sessions to confirm the session ID is RUNNING and active. If it's not there, the session doesn't exist.
When It Fits, When It Doesn't
Use this if your process requires the agent to perform actions within a rendered, modern browser environment. Specifically, if the task involves clicking buttons, filling forms, or reading content that only appears after JavaScript runs, you need Browserbase. You'll use create_browser_session to launch the context, and stop_browser_session to clean up.
Don't use this if your task is purely internal and only requires hitting a known, stable REST API endpoint. For those cases, a standard API client or a dedicated API connector tool is faster and cheaper. If you only need to check the status of an existing process, list_browser_sessions is your tool, not the full session launch.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Browserbase. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
VINKIUS INFRASTRUCTURE
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on every call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 4 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Manually scraping web content is a tedious process.
Today, scraping means writing complex selectors, dealing with anti-bot measures, and constantly refreshing your code because the target site changes its structure. You're spending hours trying to figure out if the data is in an API endpoint or if it's loaded dynamically by JavaScript, and then you're fighting race conditions just to get the data.
With the Browserbase MCP Server, your agent just needs to launch a session using `create_browser_session`. It connects to a real Chromium instance and reads what's visually on the page, regardless of whether that content was served by a simple API call or complex client-side code. You get stable, visible data.
Browserbase MCP Server: Control the full session lifecycle.
Manual automation requires several discrete steps: 1. Launching the browser context. 2. Interacting with the page. 3. And critically, remembering to close it. Forgetting step 3 leaves orphaned resources and costs money.
Now, your agent handles the whole sequence. You launch with `create_browser_session`, run the task, and the process is designed to call `stop_browser_session` automatically. The complexity is abstracted away.
Common Questions About Browserbase MCP
How do I use `create_browser_session` with Playwright? +
You use the WebSocket URL returned by create_browser_session. You pass this URL to your Playwright connection function, which allows your agent to control the browser programmatically.
What is the difference between `list_browser_sessions` and `get_browser_session`? +
list_browser_sessions gives you a high-level overview of all sessions (running, error, etc.). get_browser_session dives into one specific session ID to check its detailed status and history.
Does `stop_browser_session` save any data? +
No. Calling stop_browser_session terminates the process and discards any unsaved state in the browser. It's purely for resource cleanup.
Can I check if a session is running before trying to stop it using `get_browser_session`? +
Yes. Use get_browser_session first. It confirms the session ID's status. If the status is 'stopped' or 'failed,' you shouldn't attempt to call stop_browser_session.
How do I use `create_browser_session` for authentication or logins? +
You use the returned CDP WebSocket URL to run login flows. Your agent connects to this URL and performs the necessary steps (e.g., filling forms, clicking submit) within the isolated browser instance.
What happens if a session fails, and how do I check the error using `list_browser_sessions`? +
The session status will show 'ERROR' in the list. You can then use get_browser_session with the specific session ID to retrieve the error logs and understand why the session failed.
Are there any restrictions or rate limits when calling `list_browser_sessions`? +
While the platform handles scaling, exceeding rate limits will result in a standard API error. We recommend batching calls or implementing a small delay between multiple API calls.
Is the connection URL provided by `create_browser_session` secure for production use? +
Yes, the connection URL is provided via a secure WebSocket endpoint. It's designed to handle programmatic control from production-grade AI agents.
How is Browserbase different from Firecrawl? +
Firecrawl is optimized for content extraction — it scrapes pages and returns clean data. Browserbase provides a full browser environment for interactive automation — your agent can click buttons, fill forms, log into websites, scroll, and navigate complex single-page applications (SPAs). Browserbase gives you a real browser, Firecrawl gives you the text from a page.
Which automation frameworks are supported? +
Browserbase sessions expose a CDP (Chrome DevTools Protocol) WebSocket URL, which is compatible with all major browser automation frameworks: Playwright, Puppeteer, Selenium WebDriver, and any tool that supports CDP connections. Simply point your framework at the connectUrl returned when creating a session.
What does the free tier include? +
The free tier includes 1 browser hour, 1 concurrent browser session, and 7 days of data retention. No credit card required. For production workloads, paid plans start at $20/month (Developer) with more browser hours and concurrent sessions.
Multi-server workflows that include Browserbase MCP
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
More in this category
Dify
Manage agentic workflows via Dify — send chat messages, track conversations, audit app parameters, and handle file uploads directly from any AI agent.
Arize AI
Monitor ML model performance, detect data drift, and troubleshoot prediction quality with real-time observability dashboards.
MLflow (ML Lifecycle Management)
Manage ML lifecycle via MLflow — track training runs, monitor metrics, and audit the model registry.
You might also like
Constant Contact
Equip your AI agent to construct, analyze, and dispatch robust email marketing campaigns seamlessly through Constant Contact.
Instagram (Social Media & Business)
Manage your Instagram presence via AI — publish photos and reels, analyze insights, and manage comments.
Avochato
Manage business messaging, contacts, and broadcasts via Avochato — orchestrate SMS and MMS directly via AI.