Building User-Aware AI Agents with MCP and Serverless
Something very interesting happens when you combine AI agents, Model Context Protocol (MCP), and serverless computing. We're not just talking about the smarter chatbots that can hit a few APIs; we're building AI systems that can actually understand who you are, what you're allowed to do, and can work across different company systems without breaking security rules or stepping on other users' toes.
The Authentication Challenge in AI Systems
Traditional AI applications face a fundamental problem: how do you maintain user context and permissions when an AI agent needs to access multiple services on behalf of different users? Most implementations either sacrifice security (by using shared credentials) or user experience (by requiring constant re-authentication).
The solution lies in a sophisticated JWT propagation pattern that maintains user identity throughout the entire request chain:
JWT Propagation Pattern Flow
This creates a secure chain of trust where user identity is never inferred from...
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