Notes and guides on building with the Model Context Protocol.
A clear, precise explanation of MCP servers: what the Model Context Protocol is, what an MCP server exposes (tools, resources, prompts), how it differs from a normal API integration, and when your company should build one.
A REST API is built for human developers; an MCP server translates the same capability for AI agents. Here's how they differ and when each one is the right call.
A practical, engineering-grade checklist for making your SaaS product agent-ready with the Model Context Protocol (MCP) — from API audits to scoped auth, idempotent writes, and observability.
A practical, vendor-accurate guide to building a Model Context Protocol (MCP) server — from choosing capabilities to deploying, observing, and iterating.
A practical guide to Answer Engine Optimization (AEO/AIO/GEO): how it differs from classic SEO, the tactics that get your product cited inside AI assistants, and why an MCP server is the second layer of AI discoverability.