Executive Summary This article provides a deep-dive technical analysis of the Model Context Protocol (MCP) authorization flow. The central insight is that MCP's authorization model is not a generic application of OAuth 2.0 but a sophisticated implementation of the emerging OAuth 2.1 standard. The MCP protocol …
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The Problem with Dynamic Client Registration In my previous deep-dive into MCP authorization, I analyzed how the protocol builds on OAuth 2.1 with mandatory PKCE, Resource Indicators (RFC 8707), and the "Discovery Trifecta" of RFC 7591, 8414, and 9728. Dynamic Client Registration (DCR) was positioned as the key enabler …
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Introduction The Model Context Protocol (MCP) ecosystem mandates OAuth 2.1-compliant authorization servers to facilitate secure, federated access to AI model services. MCP clients, such as Claude Code, Cursor, and VS Code extensions, rely on modern OAuth specifications including Dynamic Client Registration (RFC 7591), …
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The Xiaozhi hardware is an impressive ESP32-based AI voice assistant capable of offline wake-up, multi-language support, and cloud connectivity. But what if you want your Xiaozhi device to access multiple AI tools, APIs, and services without managing complex integrations on the hardware side? This is where Amazon …
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You can stop hoping your Large Language Model (LLM) follows complex instructions. Context Engineering is the strategic practice of curating what enters the model's limited attention budget. To build reliable AI agents, you must master these four deterministic context patterns. This post explores the key insights from …
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