MCP & agents, explained.
Practical writing on Model Context Protocol, agentic integration, and what it actually takes to put AI agents into production.
MCP vs Custom Integrations: Which Should You Build?
If you're connecting AI agents to your internal systems, you have two paths: build a custom integration or adopt MCP. Here's when each one makes sense.
What Are MCP Servers? The Missing Link Between AI and Your Business Systems
MCP servers are the bridge that lets AI agents actually do things - read your database, trigger workflows, access your tools. Here's how they work and why they matter.
MCP Production Checklist: 5 Things Your Server Needs Before It Goes Live
Most MCP demos work. Most MCP servers that survive production share five things the demos didn't have. Here's the checklist before you ship.
What is the Model Context Protocol (MCP)? A Plain-English Guide
MCP is the open standard that lets AI agents securely access your business systems. Here's what it actually means and why it matters for teams deploying agents in production.