jcorpac MCP Security & Sandboxing
Allowing an AI to run code or access data is powerful but risky.
Key Strategies
- Least Privilege: Only grant the server access to the data it explicitly needs.
- Input Sanitization: Treat all model outputs as untrusted user input.
- Memory Isolation: Run tools in ephemeral containers (Docker) or sandboxed environments (Pyodide).
Safety Guards
- Human-in-the-loop: Require manual approval for destructive actions.
- Rate Limiting: Prevent abuse or expensive runaway processes.
- Auditing: Log every tool call and its output for review.
Best Practices
- Secrets: Never hardcode API keys; use environment variables or secret managers.
- Timeout: Set strict limits on tool execution time.