
MCP Client Explained: What It Is and How It Actually Works
MCP client vs. server vs. host — most people conflate all three. Here's the architecture, setup, security risks, and what actually breaks in practice.

MCP client vs. server vs. host — most people conflate all three. Here's the architecture, setup, security risks, and what actually breaks in practice.

What an MCP gateway actually is, how it differs from an API gateway, and when your team needs one — practical breakdown for AI platform and DevOps teams.

The MCP registry isn't a server host or package store — it's a metadata discovery control plane. Here's what it does, how it's architected, and why teams need it.

Step-by-step setup for wiring OpenAI Codex CLI to stdio MCP servers via config.toml. Covers Docker MCP Toolkit, env vars, /mcp verification, and common mistakes.

Which MCP servers actually improve Cursor productivity? A stack-first breakdown of GitHub, Context7, BrowserTools, Supabase, and more—with security tradeoffs included.

Cut through MCP server choice paralysis. A practical breakdown of which servers fit real dev workflows, how to configure them, and what breaks first.

Configure MCP Inspector correctly from the start — right transport type, absolute paths, and auth. Here's the full debugging workflow before a real client ever connects.

MCP is an open standard that solves the M×N AI integration problem. Learn how its client-server architecture works, where it fits vs APIs and RAG, and where it falls short.

Data workflow automation is a design decision, not a tool purchase. Here's what it covers, which processes qualify, and the mistake that kills ROI before launch.

Map, trigger, and monitor marketing workflows that actually hold up. A practitioner guide to avoiding the broken-process trap in marketing automation.

A practical breakdown of IT workflow automation — how triggers, rules, and actions work, real use cases, and what to decide before picking a tool.

Legal workflow automation isn't document templates or AI replacing lawyers. Here's what it actually does, which processes are worth automating, and where implementations break.