MCP Authorization and Authentication
Understand how to implement robust security in MCP applications using authorization and authentication. Explore OAuth 2.1's three-legged flow and API key usage to manage permissions and protect data while enabling AI agents to safely access external tools.
We have learned how the MCP acts as a universal adapter, allowing AI agents to seamlessly use external tools. But with this power comes a critical responsibility: security.
When an AI agent can access our calendar, read our code, or manage our projects, we must have a rock-solid system in place to ensure it only has permission to do what we’ve explicitly allowed. This is where authentication and authorization come in. But these are two different terms:
Authentication: Proving who we are. (e.g., “Are you really John Doe?”)
Authorization: Confirming what we’re allowed to do. (e.g., “Is John Doe allowed to read this file?”)
MCP uses a modern, industry-standard approach to handle this, ensuring that the user is always in control.
The core principle: Never trust, always verify
The security model in MCP is built on a zero-trust principle. It doesn’t assume that any component (the AI application (host), the ...