AI Integration: MCP and Hooks
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
Integration patterns for combining Model Context Protocol with hook architectures in AI-assisted development - covering MCP-hook naming conventions in Claude Code, webhook-to-MCP bridge patterns, the mcp-hooks library for pre/post-processing, and the decision framework for when to use protocols, callbacks, or both.
Also connected to
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
What happens when you map MCP to an electrical grid - power sources become data repositories, servers become voltage transformers, permission systems become circuit breakers, and the architecture becomes viscerally understandable