Can You Let AI Safely Run Code on Your Machine?
In this whitepaper, you’ll learn:
- How to build a Node.js MCP server that executes AI-generated JavaScript safely
- How to design ephemeral Docker sandboxes for isolated code execution
- How to install npm dependencies dynamically inside disposable containers
- How to return structured outputs (files, images, telemetry) to the model
- How to balance power, security, and developer experience in AI runtime design
Table of Contents
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- Introduction — Why Let an AI Run Code? From text prediction to real execution
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- Understanding MCP in Practice — Hosts vs Servers, tools, resources, and the request lifecycle
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- Docker as the Isolation Layer — Why containers strike the right balance
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- Structured Tool Outputs in MCP — Returning stdout, images, and resources
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- Conclusion: Safe AI Runtime as a Building Block. The future of AI-driven development
