Runno is a collection of JavaScript toolkits for securely running code in multiple programming languages in environments such as browsers and Node.js. It achieves sandboxed execution through WebAssembly and WASI, supports languages such as Python, Ruby, JavaScript, SQLite, C/C++, and provides integration methods such as web components and MCP servers.

A secure code sandbox environment based on Docker containers, providing an isolated execution space for AI applications.

A secure Docker container code sandbox environment that provides an isolated execution space for AI applications, supporting multiple programming environments and file operations.

This project is a collection of MCP servers designed for Kali Linux, aiming to enhance reverse engineering, security testing, and automation workflows. It integrates tools such as Nmap and Wireshark and provides Docker sandbox support.

The 302AI Sandbox MCP Server is a secure code sandbox service that allows AI assistants to execute arbitrary code, supporting multiple modes and dynamic tool loading.

The CodeSandbox MCP server exposes CodeSandbox SDK operations through tools for AI agents to perform operations such as sandbox creation and file read and write.

An MCP server that provides an isolated Docker environment, supporting code execution, package installation, and environment configuration in multiple programming languages

A Docker-based secure code execution environment that provides isolated sandbox support for the MCP protocol

Sandbox MCP is a model context protocol server that allows LLMs to run code in secure Docker containers, solving the security problem of the inability to test code generated by AI.

This project is an MCP server based on the Tradier Sandbox API, providing options chain data and historical price query functions for Claude Desktop.

An MCP server that provides sandboxed file access, supporting directory exploration, file reading, content search, and secure editing, suitable for AI agents to manage text file collections.

mcp - scaffold is a development sandbox for verifying the Model Context Protocol (MCP) server, providing support for local LLMs (such as LLaMA 7B) and cloud inference, including a chat interface and reference architecture.

VkRunner is a Vulkan shader testing tool based on Piglit's shader_runner, aiming to support test scripts as similar as possible to Piglit's shader_test format. It supports writing shaders in GLSL or SPIR-V and provides a rich set of test commands to verify shader behavior, including drawing, computing, and probe detection functions.

The MCP Data Fetch Server is a secure and sandboxed server that fetches web content and extracts data through the Model Context Protocol (MCP) without executing JavaScript.

gbox is an open - source self - hosted sandbox project that provides a secure environment for MCP integration and other AI agent use cases. It includes tools such as a terminal, browser, and file editor, supports local task execution and file processing, and provides Python and Typescript SDKs.

The TCL MCP Server is a server that supports AI agents to execute TCL scripts and manage the MCP tool ecosystem. It provides a secure sandbox and a developer-friendly experience, and supports multiple runtime environments.

The Modal MCP Toolbox is a collection of tools running on the Modal platform. Based on the Model Context Protocol (MCP), it can provide extended functions for LLMs, such as Python sandbox code execution and FLUX model image generation.

The Local MCP Tools Collection aims to simplify the integration of multi - functional tools for local large language models, supporting multiple MCP servers through a single virtual environment, including web search, Python sandbox, and long - term memory functions.

ipybox is a lightweight Python code execution sandbox based on IPython and Docker, supporting secure code execution in local or remote environments. It is suitable for data analysis and code execution scenarios of AI agents.

A secure JavaScript execution service based on the MCP protocol