BROWSER USE

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- [Web Agents](https://browser-use.com/web-agents)
- [Stealth Browsers](https://browser-use.com/stealth-browsers)
- [Custom Models](https://browser-use.com/custom-models)
- [Proxies](https://browser-use.com/proxies)

[Pricing](https://browser-use.com/pricing)
[Blog](https://browser-use.com/posts)
[Cloud Docs](https://docs.cloud.browser-use.com)
[Open Source Docs](https://docs.browser-use.com)

[GET STARTED](https://cloud.browser-use.com)
[GITHUB](https://github.com/browser-use/browser-use)

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# MCP Server, Gemini 3, Teams, Library Judge

**Date:** 2025-11-21
> We ship fast. Enjoy the best model ever.

---

### Cloud MCP Server

A hosted Model Context Protocol (MCP) server that enables AI assistants to control browser automation. It works with any HTTP-based MCP client, including Claude Code.

[Video](https://browser-use.com/images/changelog/cloud-mcp-chatgpt.mp4)

**MCP Server URL:** `https://api.browser-use.com/mcp`

This is an HTTP-based MCP server designed for cloud integrations and remote access. If you need a local stdio-based MCP server for Claude Desktop, use the free open-source version: `uvx browser-use --mcp`

#### Implementation Details

Check out the [documentation](https://docs.cloud.browser-use.com/usage/mcp-server).

### Gemini 3 support
It’s the best model for Browser Use.

![Gemini 3 support](https://browser-use.com/images/changelog/gemini-3-pro-chart.png)


### Teams
The option to add multiple team members to your cloud project (same billing, same credits throughout organization). Available on [cloud.browser-use.com](https://cloud.browser-use.com).

### Library judge
When task is completed, you can get llm-as-a-judge evaluation of the task - the easiest way to evaluate your own workflows (available on the library and cloud). If you need more advanced evals [contact us](mailto:support@browser-use.com?subject=I%20need%20evals).


```tsx Cloud
const task1 = await client.tasks.createTask({
  task: "Whats the weather in SF.",
  schema: TaskOutput,
  llm: "browser-use-llm",
  judge: true
});

const result1 = await task1.complete();
result1.judgeVerdict, result1.judgement
```

```python Library
agent = Agent(task=task, use_judge=True)
res = await agent.run(max_steps=1)
res.judgement, res.is_judged
```



- file uploads on the cloud


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