"Information about sandbox environments or games" matching MCP servers:

Lets agents play Doom-engine games (Freedoom, Doom, Doom II, Heretic) one turn at a time over network MCPL, taking actions like move, turn, goto, attack and use while receiving frames, events, bearings and map clearance. Enables people to watch each turn on the web, chat with the player, and replay or resume games that survive server restarts.

Game modules, project scaffold and SDK skills for building cross-platform and web3 games on iDos Games. Read-only local server: npx -y @idosgames/mcp.

This MCP server enables MCP clients such as Claude Desktop to run LLM-generated code in a secure, isolated sandbox across multiple container backends and programming languages.

Enables AI agents to create isolated Docker runtimes, execute commands, manage workspace files, drive a headed browser, and retrieve artifacts through eight semantic MCP tools, with progressive capability discovery and explicit sandbox lifecycle.

Provides isolated Docker environments for code execution, enabling users to create and manage containers, execute multi-language code, save and reproduce development environments, ensuring security and isolation.

A sandbox MCP server for testing and debugging MCP tools and interactions via the MCP Inspector.

Enables AI coding agents to safely execute commands, run tests, and modify project files inside disposable, policy-enforced Docker sandboxes that are isolated from the host machine and its credentials.

The Problem Modern distributed systems and AI agents require robust operational scaffolding. Simple CRUD apps or mock loops fail when subjected to real-world edge cases, asynchronous boundaries, and security constraints. The Solution An isolated execution platform for AI agents. An agent is given a broken service and a bounded toolset inside a disposable sandbox. Every command passes throug

Exposes a fictional small business as 46 MCP tools spanning CRM, inbox, calendar, invoicing and phone, letting agents read and modify customers, deals, messages and payments with validated, audited writes that stay inside the process.

An MCP server to create secure code sandbox environment for executing code within Docker containers.

Production-ready MCP server for secure Python code execution with artifact capture, virtual environment support, and LM Studio integration.

MCP server providing AI agents with persistent shells, filesystem access, and multi-machine management backed by Docker containers or remote SSH hosts.

An interactive Python code execution environment that allows users and LLMs to safely execute Python code and install packages in isolated Docker containers.

Enables running Python and commands inside isolated, persistent Wasmer sandboxes on the host, while also exposing an Edge-deployed Postgres-backed service for storing notes and collecting feedback.

A secure Node.js execution environment that allows coding agents and LLMs to run JavaScript dynamically, install NPM packages, and retrieve results while adhering to the Model Control Protocol.

Enables AI agents to run arbitrary Python scripts on Modal's serverless infrastructure with on-demand CPU, memory, and GPU resources, providing scalable compute without maintaining always-on servers.

Provides a persistent Chromium browser with CDP and Playwright MCP endpoints for automated browser control and natural-language-driven web interactions in secure sandboxes.

MCP server that gives AI agents isolated, named Linux computers with stable IDs and lifecycle control. Supports multiple backends like Docker, Fly Machines, Modal, and E2B, with a dashboard for managing sandboxes.

Provides real-time system metrics and information through a Model Context Protocol interface, enabling access to CPU usage, memory statistics, disk information, network status, and running processes.

Early-pilot MCP server. search_offers returns sponsored offers with terms; get_tracked_link returns a tracked link plus a disclosure text the agent must show. Public sandbox uses fictional data: no signup, nothing tracked or paid. Open-book pricing: 10% of validated commissions.

An MCP server that implements Retrieval-Augmented Generation to efficiently retrieve and process important information from various sources, providing accurate and contextually relevant responses.

A Model Context Protocol (MCP) server for Claude Desktop that connects to 302AI's API services, allowing users to integrate and leverage 302AI capabilities through a structured communication interface.

Enables AI assistants to manage TapTap minigames and H5 games, including leaderboards, sharing, multiplayer, cloud saves, and game DC data query, with zero-config OAuth 2.0 authentication.

Enables AI agents to operate DSpace repositories through a typed interface, including SAF package building, metadata editing, scientometric harvesting, open-access PDF downloads, and repository administration.

Enables AI agents to query Korean listed companies' financial statements, public disclosures, executive information, and shareholder structures in real-time using the DART API.

A secure Docker-based environment that allows AI assistants to safely execute code without direct access to the host system by running all code within isolated containers.

Enables AI models to search, browse, and retrieve full content of OpenCode documentation pages.

Provides a retrieval/MCP knowledge server for the Unreal Engine Python API, enabling AI agents to retrieve real signatures and documentation before writing code.

A weather MCP server that provides current conditions, forecasts, and prediction tools (umbrella, travel recommendations) so agents can answer natural-language weather questions.

Implements a Model Control Protocol server integrated with Google Gemini LLM, providing a flexible framework for building AI-powered applications.