This MCP allows AI agents to control web browsers using browser automation tools. It supports real-time VNC streaming and asynchronous tasks, facilitating efficient browser management and AI-driven interactions.
Added on:
Created by:
Apr 13 2025
This MCP allows AI agents to control web browsers using browser automation tools. It supports real-time VNC streaming and asynchronous tasks, facilitating efficient browser management and AI-driven interactions.
Added on:
Created by:
Apr 13 2025
MCP Mirror
Featured
What is Browser Use MCP Server?
The Browser Use MCP Server is designed to enable seamless control of web browsers by AI agents. It supports multiple transport protocols including SSE and stdio, allowing flexible integration. It provides features such as real-time VNC streaming for monitoring browser sessions and asynchronous task execution for efficient automation workflows. The server is compatible with browser automation frameworks like Playwright and can be deployed via Docker or locally. This MCP is ideal for developers implementing AI-powered browser control, QA automation, or remote browsing solutions, offering robust customization, security, and development options.
Who will use Browser Use MCP Server?
- AI developers
- Browser automation engineers
- QA automation teams
- Research scientists
- Remote browsing service providers
How to use the Browser Use MCP Server?
- Step 1: Install prerequisites like uv, Playwright, and mcp-proxy.
- Step 2: Configure environment variables and create a .env file.
- Step 3: Install the MCP server using uv pip commands.
- Step 4: Run the server in SSE mode with 'uv run server --port 8000' or in stdio mode with the appropriate command.
- Step 5: Configure your client with the correct protocol URL and environment settings.
- Step 6: Optional: Use Docker for containerized deployment, mapping ports as needed.
Browser Use MCP Server's Core Features & Benefits
The Core Features
- Browser automation control
- Dual transport protocols support (SSE and stdio)
- Real-time VNC streaming
- Asynchronous task execution
The Benefits
- Enables AI agents to automate browsers efficiently
- Supports flexible deployment options including Docker
- Provides real-time monitoring of browser sessions
- Facilitates remote and automated browser control workflows
Browser Use MCP Server's Main Use Cases & Applications
- Remote AI-controlled browser automation for testing
- Real-time monitoring of browser activities
- Integration with AI agents for web browsing tasks
- Automated QA testing for web applications
FAQs of Browser Use MCP Server
Developer
- MCP-Mirror
You may also like:
Developer Tools
A desktop application for managing server and client interactions with comprehensive functionalities.
A Model Context Protocol server for Eagle that manages data exchange between Eagle app and data sources.
A chat-based client that integrates and uses various MCP tools directly within a chat environment for enhanced productivity.
A Docker image hosting multiple MCP servers accessible through a unified entry point with supergateway integration.
Provides access to YNAB account balances, transactions, and transaction creation through MCP protocol.
A fast, scalable MCP server for managing real-time multi-client Zerodha trading operations.
A remote SSH client facilitating secure, proxy-based access to MCP servers for remote tool utilization.
A Spring-based MCP server integrating AI capabilities for managing and processing Minecraft mod communication protocols.
A minimalistic MCP client with essential chat features, supporting multiple models and contextual interactions.
A secure MCP server enabling AI agents to interact with Authenticator App for 2FA codes and passwords.
Research And Data
A server implementation supporting Model Context Protocol, integrating CRIC's industrial AI capabilities.
Provides real-time traffic, air quality, weather, and bike-sharing data for Valencia city in a unified platform.
A React application demonstrating integration with Supabase via MCP tools and Tambo for UI component registration.
A MCP client integrating Brave Search API for web searches, utilizing MCP protocol for efficient communication.
A protocol server enabling seamless communication between Umbraco CMS and external applications.
NOL integrates LangChain and Open Router to create a multi-client MCP server using Next.js
Connects LLMs to Firebolt Data Warehouse for autonomous querying, data access, and insight generation.
A client framework for connecting AI agents to MCP servers, enabling tool discovery and integration.
Spring Link facilitates linking and managing multiple Spring Boot applications efficiently within a unified environment.
An open-source client to interact with multiple MCP servers, enabling seamless tool access for Claude.
Browser Automation
A server protocol for creating, reading, and modifying Google Slides presentations programmatically.
Enables advanced browser automation for viewport management, screenshot capture, and content extraction using TypeScript.
An MCP server enabling AI agents to control web browsers via browser-use with real-time VNC streaming.
A TypeScript-based project template for React and Vite with ESLint support and React plugins.
Autonomous system for evaluating and debugging web applications through browser automation and network analysis.
A Selenium-based testing MCP that integrates with Claude-like AI clients and Copilot in VS Code.
A Go library facilitating integration with MCP servers like Redis, GitHub, Google Maps, and web scraping tools.
A Python-based MCP client enabling browser automation and interaction with Minecraft servers.
A web-based tool for browsing and managing Minecraft server configurations and plugin setups with ease.
A repository created via MCP client for managing automation tasks with Selenium and scripting tools.