Custom MCP Server Architecture for Personal AI Assistance

After this session, you'll know how to design and deploy a custom MCP server that acts as a persistent, context-aware layer for your personal AI workflows. We'll cover how to structure server architecture for reliability, how to pass meaningful context between sessions, and how to avoid the common configuration mistakes that make personal AI tools fragile in practice. Attending live means you can describe your specific setup and get a direct answer about whether your architecture choices make sense, something a recording cannot replicate. The coach works on AI tooling infrastructure daily, and this session reflects how they actually think through system design decisions, not a simplified version of it.