21 个#sandbox MCP 服务器和客户端

Sandbox Mcp

pottekkat

A Model Context Protocol (MCP) server that enables LLMs to run ANY code safely in isolated Docker containers.

MCP Sandbox

JohanLi233

Python sandboxes for llms

Arrakis MCP Server

abshkbh

MCP server for https://github.com/abshkbh/arrakis

MCP Sandbox

danstarns

Turn any JavaScript module into a sandboxed MCP (Model Context Protocol) server with automatic reflection and type inference.

Mailbox.bot

arbengine

OpenClaw skill for mailbox.bot — physical address infrastructure for AI agents

Bridge Town

Bridge-Town

Public documentation and registry metadata for the Bridge Town hosted MCP connector.

AI Coreutils — JSON-first CLI for Agents

caseSHY

AICoreUtils 是一个面向 LLM Agent 的 JSON 优先命令行工具包原型。

Daytona

daytonaio

Run code in secure remote sandboxes

Runno Code Sandbox

taybenlor

The @runno/mcp server provides a run_code tool that AI assistants can use to execute code snippets in various programming languages. It leverages the @runno/sandbox package, which uses WebAssembly to create isolated environments for code execution. The result of the code executio

MGC Blackbox – Local Encrypted Execution Layer

zkeviny

A local encrypted execution layer for AI agents. Provides sealed scripts, protected subprocess execution, and secure local storage.

GBOX Android MCP

babelcloud

GBOX provides environments for AI Agents to operate computer and mobile devices.

Code Sandbox X402

Br0ski777

Execute Python, JavaScript, or SQL in a sandbox. Get stdout, execution time, errors. 10s timeout. -- x402 micropayment API + MCP server for AI agents

302_sandbox_mcp

302ai

Create a remote sandbox that can execute code/run commands/upload and download files.

The Superserve MCP server lets any MCP client create and control isolated cloud sandboxes - each one a Firecracker microVM that boots in seconds. Your agent can run shell commands, read and write files, install dependencies, and expose a running server as a public preview URL, th

Overview

Wasm sandbox runtime for AI agent code execution. Executes JavaScript, regex, JMESPath, and SQL inside fuel-metered WebAssembly cartridges. Infinite loops trap in microseconds instead of hanging — deterministic failure for LLM-generated code.

Execute Python, JavaScript, Bash, and Go code in isolated cloud containers with sub-150ms startup times. Pre-installed data science libraries (pandas, numpy, matplotlib) for AI-powered data analysis and code testing.

Sandboxed Python execution for AI agents. Scripts run in ephemeral, isolated environments (bubblewrap on Linux, Docker on macOS) with PEP 723 inline dependencies — zero host pollution, zero leftover venvs, zero package conflicts. Supports multi-version Python (3.13–3.15), configu

mcp-server-sandbox

open-mcp-app

install all mcp server in sandbox for remote usage

MCP server for https://oathe.ai security audits. Runtime behavioral analysis and security scanner for AI systems. Check trust scores before installing MCP servers, plugins, or AI agent skills.