EdgeBox MCP Server
BIGPPWONG/EdgeBox
[](https://agentrank-ai.com/tool/BIGPPWONG--EdgeBox/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) A fully-featured, GUI-powered local LLM Agent sandbox with complete MCP protocol support. Features both CLI and full desktop environment, enabling AI agents to operate browsers, terminal, and other desktop applications just like humans. Based on E2B oss code.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
BIGPPWONG/EdgeBox is a TypeScript tool licensed under GPL-3.0. A fully-featured, GUI-powered local LLM Agent sandbox with complete MCP protocol support. Features both CLI and full desktop environment, enabling AI agents to operate browsers, terminal, and other desktop applications just like humans. Based on E2B oss code. Topics: code-interpreter, computer-use, e2b, llm-agent, llm-sandbox, mcp.
Ranked #12399 out of 24846 indexed tools.
Ecosystem
Score Breakdown
212 stars → growing community
Last commit 6mo ago → stale
4/6 issues closed → decent issue management
1 contributor → solo project
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
How to Improve
Matched Queries
From the README
# EdgeBox - The Local Desktop Sandbox for AI Agents > **💡 新项目推荐**: 如果你需要更轻量化的内核级沙箱方案,查看 [**DAIMON**](https://daimon-hq.github.io) —— 一个专为 AI Agent 设计的轻量级本地沙箱运行时。DAIMON 采用 Rust 编写,基于 Linux Landlock LSM 和 seccomp 实现 OS 内核级强制沙箱,提供细粒度的文件系统访问控制、网络隔离和非特权用户身份执行。相比传统 Docker 容器方案更加轻量,适合 MCP Server 的安全执行环境。 <div align="center"> <br/> <strong>A fully-featured, GUI-powered local LLM Agent sandbox with complete support for the MCP protocol.</strong> <br/> <p>Empower your Large Language Models (LLMs) with true "Computer Use" capabilities.</p> </div> --- **EdgeBox** is a powerful desktop application that brings the cloud-based sandbox capabilities of E2B (e2b.dev) to your local machine. Based on the open-source E2B Code Interpreter project, EdgeBox transforms the sandbox into a locally-running environment, giving you full control over your AI agent's development and execution environment. **What makes EdgeBox unique**: While most open-source sandbox projects only provide a terminal/CRead full README on GitHub →
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