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.