by LvcidPsyche · MCP Server · ★ 575
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Auto Browser Give your AI agent a real browser, with a human in the loop. Auto Browser is an MCP-native browser control plane for authorized workflows. It gives MCP clients, LLM agents, and operators a shared Playwright browser with human takeover, reusable auth profiles, approvals, audit trails, and local-first deployment. Works with: Claude Desktop Cursor any MCP client that can talk HTTP or stdio direct REST callers when you want curl-first control Why Auto Browser MCP-native from day one. The browser surface is already packaged as an MCP server instead of bolted on after the fact. Human takeover when the web gets brittle. noVNC keeps the same live session available when a person needs to step in. Login once, reuse later. Save named auth profiles and reo
| Stars | 575 |
| Forks | 92 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 53.996/100 |
| Open Issues | 17 |
| Last Updated | 2026-06-18 |
| Created | 2026-03-09 |
| Platforms | browser, claude-code, docker, mcp, python |
| Est. Tokens | ~15k |
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auto-browser is Give your AI agent a real browser — with a human in the loop. Open-source MCP-native browser agent.. It is categorized as a MCP Server with 575 GitHub stars.
auto-browser is primarily written in Python. It covers topics such as ai-agent, ai-agents, browser-automation.
You can find installation instructions and usage details in the auto-browser GitHub repository at github.com/LvcidPsyche/auto-browser. The project has 575 stars and 92 forks, indicating an active community.
auto-browser is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to auto-browser on Agent Skills Hub include web-agent-protocol, sandboxed.sh, CoWork-OS. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.