Model Context Protocol and Hooks Overview
The foundational overview of MCP and hooks - what they are, how they differ, and why the 2025 ecosystem has made them the two pillars of AI-system integration
Foundational overview of Model Context Protocol and hooks in AI development - covering MCP's JSON-RPC 2.0 architecture and three primitives (Resources, Tools, Prompts), hook variants across contexts (React, webhooks, system hooks, Claude Code hooks), comparative analysis of protocols versus callbacks, and the 2025 innovations including the MCP Registry, creative industry servers, and intent-based execution.
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The integration patterns that emerge when you combine MCP's cross-system protocol with hooks' event-driven interception - and why the hybrid is more powerful than either alone
The complete technical reference for a production KB Agent REST API - session management, query processing with intent routing, SSE streaming, hybrid retrieval with authority layers, dispute handling, and the observability endpoints that make the difference between debugging in production and guessing in production
A complete MCP integration that lets Claude Desktop users analyze CSV and Excel files through natural language - four tools, one restart, zero command-line knowledge required
What MCP architecture looks like when you map it as visual systems - data flow diagrams, comparison matrices, and the decision trees that make integration patterns concrete
How to add MCP standardization to a 430,000-line React application without breaking anything - the hybrid architecture that preserves your investment while opening new integration paths