MCP Browser Use by janspoerer
22 score
Empowers AI agents to perform web browsing, automation, and scraping tasks with minimal supervision using natural language instructions and Selenium.
Ranked #8090 out of 10163 indexed tools.
Is this your tool? Claim this listing to add maintainer context, get a verified badge, and unlock analytics.
Claim listing → Signal Breakdown
Installs 19
Freshness 1mo ago
Issue Health 0%
Stars 9
Platform Breadth 1 platform
Contributors 0
Description Good
How to Improve
Freshness high impact
Issue Health high impact
Contributors medium impact
Badge
[](https://agentrank-ai.com/skill/glama-janspoerer--mcp_browser_use/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) <a href="https://agentrank-ai.com/skill/glama-janspoerer--mcp_browser_use/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge"><img src="https://agentrank-ai.com/api/badge/skill/glama-janspoerer--mcp_browser_use" alt="AgentRank"></a> Supported Platforms
From the README
# MCP Browser Use <br> <br> <br> ## What You Can Achieve With This MCP This project aims to empower AI agents to perform web use, browser automation, scraping, and automation with Model Context Protocol (MCP) and Selenium. The special feature of this MCP is that it can handle multiple agents accessing multiple browser **windows**. One does not need to start multiple Docker images, VMs, or computers to have multiple scraping agents. And one can still use **one single browser profile** across all agents. Each agent will have its own windows, and they will not interfere with each other. _This makes the handling of multiple agents seamless: Just start as many agents as you want, and it will just work!_ Use two Claude Code instances, one Codex CLI instance, one Gemini CLI instance and a `fast-agent` instance -- all on one computer, all using the same browser profile, and all working (somewhat) in parallel. > Our mission is to let AI agents complete any web task with minimal human supeRead full README on GitHub →