Topic
MCP servers
Practical guides on Model Context Protocol servers — design, tradeoffs, and when to build one.
Guides in this topic
Why SaaS Products Are Adding MCP (and Who Falls Behind)
MCP is becoming a distribution channel into AI tools. Here's what that means for SaaS founders and product owners — without the protocol jargon.
Shipping MCP to Production Without Breaking Your Product
A go-live checklist for product and ops owners shipping an MCP server — auth, support load, rollback, and the failures demos hide.
How Much Does an MCP Server Cost? Build vs Buy in 2026
Planning bands for MCP server cost in 2026 — in-house, specialist studio, and freelancer — plus what actually moves the number for SaaS products.
The 2026 MCP Change Business Owners Need to Know About
The 2026-07-28 MCP specification removes session pinning. What that means for product roadmaps, reliability, and migration risk — in plain language.
Integrating MCP at Scale: What Changes After the First 100 Users
After the first 100 agent users, MCP stops being a demo and starts hitting cost, tenancy, and reliability. What business owners should plan for.
The Stateless Evolution of MCP
The 2026-07-28 MCP specification drops session pinning and the initialize handshake. Here's what changed, why it matters for production deployments, and how to upgrade.
Your MCP Server Works. Your Agent Doesn't.
Most MCP servers disappoint because developers treat them like REST API wrappers. Here are six common design mistakes and how to fix them.
MCP Design Patterns: Building Effective Model Context Protocol Servers
Practical patterns for designing MCP servers that are lean, secure, and token-efficient. Covers tool design, authentication, error handling, and response optimization.
MCP Is a Great Protocol. Stop Using It as Your Default.
A research-backed breakdown of when to use MCP servers vs CLI integrations for AI agents. Based on real benchmarks, practitioner data, and production failures — not theory.
MCP vs REST for AI Agents: When Does MCP Actually Make Sense?
A practical comparison of MCP servers and REST APIs for AI agent integration. Covers when MCP adds real value, when REST is enough, and how to decide for your product.
When Does Your Product Need an MCP Server?
A decision framework for SaaS founders and product teams evaluating whether to build an MCP server. Covers readiness signals, build-vs-buy analysis, and a step-by-step evaluation checklist.
How to Build a Multi-Platform AI Agent with Vercel Chat SDK
Deploy one AI agent to Slack, WhatsApp, and Telegram — same intelligence, native formatting on every platform. A step-by-step guide using Vercel Chat SDK and AI SDK.
What Is an MCP Server and Why Your Product Needs One
MCP servers let users interact with your software product through AI agents like Claude and Cursor. Here's what they are, how they work, and why every product with an API should have one.