SandboxAPI
Run untrusted snippets and multi-language experiments in isolated gVisor sandboxes from your agent without executing arbitrary code on your laptop.
Overview
SandboxAPI is an MCP server for the Build phase that executes agent-generated code in eight languages inside gVisor sandboxes via a remote HTTP endpoint.
What is this MCP server?
- Execute code in 8 languages: Python, JavaScript, TypeScript, Go, Java, C++, C, and Bash
- Runs inside gVisor-isolated sandboxes rather than on the host OS
- Remote streamable-http endpoint at https://mcp.sandboxapi.dev/mcp
- SandboxAPI MCP server v1.0.0 from sandboxapi/sandboxapi-mcp on GitHub
- Lets agents verify snippets, REPL-style checks, and small scripts without local risk
- 8 supported languages: Python, JavaScript, TypeScript, Go, Java, C++, C, Bash
- Remote URL https://mcp.sandboxapi.dev/mcp (streamable-http)
- Version 1.0.0; repository github.com/sandboxapi/sandboxapi-mcp
Community signal: 2 GitHub stars.
What problem does it solve?
Letting coding agents run generated code locally is risky and messy when you need quick multi-language checks during a sprint.
Who is it for?
Solo builders who want safe try-run loops for agent-written scripts across Python, JS/TS, Go, Java, C-family, and Bash.
Skip if: Products that need private on-prem sandboxes, persistent VMs, or compliance-heavy data planes inside the execution environment.
What do I get? / Deliverables
After adding the SandboxAPI remote MCP URL, your agent can run isolated executions and return stdout, errors, and results without touching your dev machine.
- Isolated execution results for Python, JS, TS, Go, Java, C++, C, or Bash snippets
- Safer agent try-run loop without host-level arbitrary code execution
- Quick validation of generated scripts before merging into your repo
Recommended MCP Servers
Journey fit
Safe remote execution is a build-time integration pattern when agents generate and run code on your behalf. Integrations is the right shelf for an HTTP MCP remote that plugs execution into your agent stack alongside other external services.
How it compares
Remote gVisor execution MCP, not a local terminal skill or a full GitHub Actions replacement.
Common Questions / FAQ
Who is SandboxAPI for?
Developers using MCP agents who need fast, isolated code runs across multiple languages without installing every toolchain locally.
When should I use SandboxAPI?
Use it when validating agent-generated snippets, spike solutions in validate, or smoke-testing logic during build and ship before you commit to local execution.
How do I add SandboxAPI to my agent?
Register the remote MCP server URL https://mcp.sandboxapi.dev/mcp with streamable-http in your Claude Code or Cursor MCP settings per SandboxAPI docs.