Superserve Sandbox MCP Server

@superserve-ai

Basic information

About Superserve Sandbox MCP Server

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

#sandbox #agent #code-execution #devtools#microvm

Superserve Sandbox MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "superserve": {
      "url": "https://mcp.superserve.ai",
      "headers": {
        "Authorization": "Bearer <YOUR_SS_LIVE_KEY>"
      }
    }
  }
}

Superserve Sandbox MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

Fetch the live tool list directly from this server's endpoint using the button above.

Overview

What is Superserve Sandbox?

Superserve Sandbox is an MCP server that lets any MCP client create and control isolated cloud sandboxes. Each sandbox is a Firecracker microVM that boots in seconds, and agents can run shell commands, read and write files, install dependencies, and expose running servers as public preview URLs. Secrets are brokered by the platform so credentials never pass through the model, and outbound network access is controllable per sandbox.

How to use Superserve Sandbox?

Run it locally with npx -y @superserve/mcp or connect to the hosted endpoint at mcp.superserve.ai – both require your Superserve API key for authentication. Works with Claude, Cursor, VS Code, Windsurf, and Codex.

Key features of Superserve Sandbox

Create and control Firecracker microVMs that boot in seconds
Run shell commands, read/write files, and install dependencies
Expose a running server as a public preview URL
Pause or delete sandboxes when finished
Secrets are brokered by the platform, never passed through the model
Outbound network access is controllable per sandbox

Use cases of Superserve Sandbox

Run isolated code execution in a cloud sandbox for testing or debugging
Deploy short-lived preview environments from an agent’s output
Securely execute commands that require credentials or network restrictions

Frequently asked questions

What authentication does Superserve Sandbox require?

Both the local and hosted modes use your Superserve API key for authentication.

Which MCP clients are supported?

It works with Claude, Cursor, VS Code, Windsurf, and Codex.

Is any runtime or dependency required to run the server?

You need Node.js to run the local version via `npx`; the hosted endpoint is available without local dependencies.

What happens when the sandbox is no longer needed?

You can pause or delete the sandbox when done.

Can the sandbox talk to the internet?

Outbound network access can be controlled per sandbox, and secrets are brokered by the platform so credentials never pass through the model.

Comments

More Reasoning MCP servers

MCP Advanced Reasoning Server for Cursor AI

AzDeltaQQ

This is a very basic implementation of an Mcp-Reasoning-Server for Cursor AI .

Agentic Resource Discovery

neuronto

Neuronto Agentic Resource Discovery (ARD) Index. Federated search across every public ARD registry, plus a verified tool index read from each MCP server's own tools/list, hybrid lexical and semantic retrieval, and ARD-Bench.

Node Code Sandbox MCP 🛠️

mozicim

# 🐢🚀 Node.js Sandbox MCP ServerThis repository hosts a Node.js server that implements the Model Context Protocol (MCP) for running JavaScript in isolated Docker containers. It allows for on-the-fly npm dependency installation, making it easy to execute code safely and efficient

Agentic MCP Client

peakmojo

A standalone agent runner that executes tasks using MCP (Model Context Protocol) tools via Anthropic Claude, AWS BedRock and OpenAI APIs. It enables AI agents to run autonomously in cloud environments and interact with various systems securely.

Part 1. Real-Time LangGraph Agent with MCP Tool Execution

junfanz1

This project demonstrates a decoupled real-time agent architecture that connects LangGraph agents to remote tools served by custom MCP (Modular Command Protocol) servers. The architecture enables a flexible and scalable multi-agent system where each tool can be hosted independent