Resources

A curated collection of resources for building production MCP servers and AI tool integrations.

Writing

Technical articles on MCP architecture, platform engineering, and AI infrastructure.

Best practices for deploying MCP servers at scale.

When to use Model Context Protocol for AI tool integration.

Coordinating multiple AI agents with MCP servers.

Authentication, authorization, and input validation for MCP.

How AI agents are reshaping internal developer platforms.

Technical discussions on AI infrastructure, platform engineering, and developer tools.

Platform Engineering Podcast

Building Developer Platforms

AI Infrastructure Show

Scaling AI Systems

The DevTools Podcast

Developer Experience

Essential reading for platform engineers and AI infrastructure builders.

Building Microservices

Sam Newman

Designing Data-Intensive Applications

Martin Kleppmann

The DevOps Handbook

Gene Kim et al.

Team Topologies

Matthew Skelton

Platform Engineering on Kubernetes

Mauricio Salatino

Development tools and frameworks for building MCP servers and AI integrations.

Official TypeScript SDK for building MCP servers.

Official Python SDK for MCP server development.

Test your MCP servers with Claude's desktop application.

Debug and test MCP servers locally.

Observability and distributed tracing for MCP servers.