"Learning Programming" matching MCP servers:

Enforces disciplined programming practices by requiring AI assistants to audit their work and produce verified outputs at each phase of development, following structured workflows for refactoring, feature development, and testing.

A demonstration MCP server built with FastMCP v2.0 that provides basic mathematical calculations and greeting functionality. Features Docker containerization, comprehensive testing, and CI/CD automation for learning MCP development patterns.

A multi-language testing automation server that enables AI assistants to discover, plan, and execute tests across six major programming languages. It provides comprehensive tools for repository scanning, automated test execution, and detailed coverage reporting.

Enhances AI-assisted development with intelligent context, team awareness, and automated workflow orchestration, enabling a senior developer-like pair programming experience.

Showcases principal-level QA architecture using MCP tools and Playwright for validating security, business workflows, contract safety, and cross-layer consistency.