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cloud.google.com·7h ago
Data Science
Simon Willison's Blog·22d ago·5 min read
MCP was always a bad idea?
TL;DR
MCPs (Managed Code Processes) may seem outdated, but they offer essential control and security for AI agents that require limited external access. They enable precise management of service interactions and secure authentication without exposing sensitive API keys.
✦ Why It Matters
Consider implementing MCPs to enhance security and control in your AI applications today.
Key Takeaways
- Evaluate the security needs of your AI applications.
- Implement MCPs for better control over external service access.
- Protect sensitive data by managing API key access.
- Consider the trade-offs between unrestricted access and security.
Full Summary
Managed Code Processes (MCPs) provide a framework for controlling how AI agents interact with external services. While advanced terminal agents like Claude Code and Codex can directly call APIs with unrestricted internet access, MCPs are valuable for scenarios requiring tighter security and control.
They allow developers to specify which external services an agent can access, ensuring that sensitive data remains protected. Additionally, MCPs facilitate secure authentication methods that prevent agents from directly handling API keys, reducing the risk of exposure.
This structured approach is particularly beneficial for organizations that prioritize security and compliance in their AI implementations. As AI continues to evolve, understanding the role of MCPs can help developers make informed decisions about their architecture.