#mcp

Architecture design for scaling a personal second brain to a production system with AWS serverless — from the current prototype to specialized use cases in legal, research, and community building.

MCP server for analyzing git repository metrics and understanding team health. Published on npm as @jonmatum/git-metrics-mcp-server.

Demonstration of dual-interface architecture where the same business logic serves both a traditional web application and an MCP server for AI tools.

Open protocol created by Anthropic that standardizes how AI applications connect with external tools, data, and services through a universal interface.

Production-ready serverless backend for a personal knowledge graph — DynamoDB, Lambda, Bedrock, MCP, Step Functions. The implementation of the architecture described in the 'From Prototype to Production' essay.

Open source SDK from AWS for building AI agents with a model-driven approach. Functional agents in a few lines of code, with multi-model support, custom tools, MCP, multi-agent, and built-in observability.

Collection of 13 Terraform modules published on the Terraform Registry for deploying serverless architectures on AWS, with 12 examples covering basic ECS to full-stack CRUD with DynamoDB and AgentCore with MCP.

Design strategies and patterns for AI agents to select, invoke, and combine external tools effectively to complete complex tasks.