May 6 · 9 min read · This is Part 3 of the AI Engineering with TypeScript series. Prerequisites: Part 1 — What is MCP? · Part 2 — MCP Fundamentals Stack: Node.js 20+ · @anthropic-ai/sdk · @modelcontextprotocol/sdk v1.x ·
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May 4 · 14 min read · 🤔 The problem MCP solves Imagine you're building an AI assistant that needs to check a database, read a file, call a weather API, and create a GitHub issue — all in one workflow. Without a standard,
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Apr 5 · 14 min read · If you're already familiar with the MCP protocol, you know it allows LLMs to interact with external services. If not — a quick example.You're running Claude Code locally on your machine and want it to
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Mar 29 · 14 min read · Introduction The analogy that stuck with me the most for Model Context Protocol (MCP) is a universal charging station for electric vehicles. Let's revisit the terminology a bit: The Smart EV (MCP Cli
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Jan 27 · 6 min read · In the early days of AI-assisted programming, because AI couldn't directly perceive our development environment, we had to act as "porters." We copied error messages, took screenshots of database structures, and fed API documentation to the AI paragr...
Join discussionJan 11 · 5 min read · If you've been using MCP servers with Cursor, VS Code, or other AI-powered IDEs, you've probably encountered this dreaded warning: ⚠️ "You have configured more than 50 tools. This may degrade performance." Modern AI coding agents connect to multipl...
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Jan 5 · 6 min read · Over the past few weeks, I kept seeing discussions around MCP everywhere. Blog posts, Twitter threads, demos, and strong opinions. Most of it sounded promising, but also vague. Everything seemed to fall back to “better tool calling” or “agents done r...
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