sandboxapi-mcp

sandboxapi-mcp

Execute code in 8 programming languages via gVisor-sandboxed Docker containers. Supports Python, JS, TS, Go, Java, C++, C, and Bash.

Category
Visit Server

README

SandboxAPI MCP Server

MCP Languages License

Give your AI agent the ability to execute code in 8 programming languages, safely.

SandboxAPI MCP Server connects any MCP-compatible AI client (Claude, Cursor, VS Code, Windsurf, etc.) to secure code execution. Every execution runs inside a gVisor-sandboxed Docker container with no network access, strict resource limits, and ephemeral filesystems.

Quick Start

Option 1: Remote Server (No Setup)

Connect directly to the hosted endpoint. No local installation required.

Claude Desktop (claude_desktop_config.json):

{
  "mcpServers": {
    "sandboxapi": {
      "url": "https://mcp.sandboxapi.dev/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_KEY"
      }
    }
  }
}

VS Code (.vscode/mcp.json):

{
  "servers": {
    "sandboxapi": {
      "url": "https://mcp.sandboxapi.dev/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_KEY"
      }
    }
  }
}

Cursor (~/.cursor/mcp.json):

{
  "mcpServers": {
    "sandboxapi": {
      "url": "https://mcp.sandboxapi.dev/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_KEY"
      }
    }
  }
}

Option 2: Docker

docker run -d \
  -p 8081:8081 \
  -e SANDBOXAPI_API_KEY=your_sandboxapi_key \
  -e MCP_API_KEY=your_mcp_auth_key \
  sandboxapi/mcp:latest

Then point your client to http://localhost:8081/mcp.

Option 3: Build from Source

git clone https://github.com/sandboxapi/sandboxapi-mcp.git
cd sandboxapi-mcp
go build -o sandboxapi-mcp .

export SANDBOXAPI_API_KEY=your_key
export MCP_API_KEY=optional_auth_key
./sandboxapi-mcp

Available Tools

execute_code

Execute code in a sandboxed container.

Parameter Type Required Description
language string Yes python3, javascript, typescript, bash, java, cpp, c, go
code string Yes Source code to execute (max 1MB)
timeout number No Timeout in seconds (default: 10, max: 300)
stdin string No Standard input to pass to the program

execute_batch

Execute multiple code snippets. Each runs in its own isolated sandbox.

Parameter Type Required Description
executions array Yes Array of {language, code, timeout?, stdin?} objects

list_languages

List all supported programming languages with versions and example code. No parameters.

Supported Languages

Language Version Aliases
Python 3.12 python3, python, py
JavaScript Node 22 javascript, js, node
TypeScript 5.4 typescript, ts
Go 1.22 go, golang
Java 21 java, jdk
C++ GCC 14 cpp, c++
C GCC 14 c, gcc
Bash 5.2 bash, sh, shell

Environment Variables

Variable Required Description
SANDBOXAPI_API_KEY Yes API key for the SandboxAPI backend
MCP_API_KEY No Auth key for the MCP endpoint (omit for open access)
MCP_PORT No Port to listen on (default: 8081)
SANDBOXAPI_URL No API base URL (default: https://api.sandboxapi.dev)

Security

Every code execution is isolated with defense-in-depth:

  • gVisor (runsc) — User-space kernel intercepts all syscalls
  • Network isolation — Executed code cannot make outbound connections
  • Resource limits — CPU, memory, and disk usage are capped
  • Ephemeral containers — Destroyed immediately after execution
  • Read-only filesystem — No persistent writes between executions
  • Code size limits — Source code capped at 1MB
  • Timeout enforcement — Hard kill after configured timeout

API Key

Get your API key at sandboxapi.dev or through RapidAPI.

Links

License

MIT

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured