This article details how to build a secure server for AI clients using TypeScript, focusing on API key management, scope enforcement, and rate limiting. It outlines a three-part system: API keys stored as SHA-256 hashes with associated scopes, a token bucket mechanism for each client to control request frequency, and a central wrapper to log and validate all tool calls. The implementation includes two example tools, `get_order_status` and `create_support_ticket`, demonstrating how scopes restrict access and how rate limiting prevents abuse. AI
IMPACT Enables developers to build more secure and manageable interfaces for AI agents, improving reliability and control in AI applications.
RANK_REASON The article describes the implementation of a specific software component for managing AI client interactions, rather than a new model release or significant industry event.
- API Keys
- create_support_ticket
- get_order_status
- MCP
- @modelcontextprotocol/sdk
- SHA-256
- Streamable HTTP
- support bot
- TypeScript
- Zod
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