2 posts tagged with "Model Context Protocol"

Building a demo with an LLM API is easy. Building something production-ready — reliable, cost-efficient, and genuinely useful — is a different challenge entirely. After shipping multiple Claude-powered applications and integrations, I've collected the patterns and pitfalls that matter.

This is a practical guide for engineers who want to go beyond "hello world" and build AI applications that actually work at scale.

Modern AI workflows require more than just a prompt and a model — they demand context. In high-scale ML systems, especially those involving autonomous agents or dynamic LLM-based services, managing state, session, and data conditioning is essential. That’s where the Model Context Protocol (MCP) Server comes in.

In this blog post, we’ll walk through:

• What an MCP Server is and why it’s needed
• How it fits into AI/ML pipelines
• Its component architecture
• Real-world use cases
• A walkthrough with TypeScript code snippets
• Deployment and scaling considerations