
概览
主要功能
- 浏览器自动化
- 双协议支持(SSE 与 stdio)
- VNC 流媒体
- 异步任务
价格
- 模型
- Free
- 分类
- 服务配缩器
- 评分
- 暂无评价
使用场景
AI 驱动的网页浏览
使用 browser-use-mcp-server 让 AI 代理浏览网页,自动化任务和交互。
自动化网页测试
利用服务器进行自动化网页测试,发挥浏览器自动化和异步任务执行的优势。
优点 & 缺点
优点
- 让 AI 代理能够控制网页浏览器
- 支持 SSE 与 stdio 两种传输协议
- 可实时通过 VNC 流媒体观看浏览器自动化
- 异步执行浏览器操作
缺点
- 使用时需要 OpenAI API 密钥
- 需安装 uv、Playwright 和 mcp-proxy 等前置依赖
评测
登录以留下评测。
暂无评测。来当第一个吧!
问答
Is there a learning curve for integrating this server with my AI agent?
Integration requires configuring client-side mcp.json files and setting up the appropriate command or URL. Once the prerequisites are installed, setting up SSE or stdio mode is straightforward, but may need some familiarity with environment variables and Python package management.
Asked by Tunde Balogun · May 7, 2026
Which transport protocols does the server support?
It offers both SSE (Server-Sent Events) and stdio modes, giving flexibility for different client implementations and enabling asynchronous task execution.
Asked by Leila Hassan · Apr 23, 2026
Can I watch the browser automation live?
Yes, the server supports VNC streaming, allowing you to view browser interactions in real time while the AI agent controls the browser.
Asked by Sanjay Gupta · Mar 26, 2026
What prerequisites are needed to run Browser Use MCP Server?
You must install uv, Playwright, and mcp-proxy. Additionally, set environment variables such as OPENAI_API_KEY and optionally CHROME_PATH before starting the server.
Asked by Ravi Kapoor · Feb 13, 2026
提问
服务配缩器 的替代品

开源MCP服务器,利用_playwright让LLM控制真实的浏览器以及可访问性快照

Python agent 框架由 Pydantic 团队开发,用于构建类型安全的 GenAI 应用。

自适应的记忆层,帮助AI智能体从上下文中学习

AI 邮箱助手,帮助您更快地达到 inbox zero。

开源式24小时设备屏幕和音频录制,适合构建依赖实况人工智能(AI)应用

用于构建和编排带有工具、内存和多智能体工作流的AI智能体的TypeScript库。

把无银行的 onchain API 带入 MCP

带少分享系兿司上字詰級下合存号来皅




