SandboxAPI MCP server

SandboxAPI MCP Server

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 (claudedesktopconfig.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.

execute_batch

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

list_languages

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

Supported Languages

Environment Variables

Security

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

Shortened. The full README is on GitHub.