#mcp-servers

Fast-ASDLC: 5x TTM with AI-native Agentic SDLC. Local-LLM first, Human-in-the-loop, Spec-driven. Built on DDD, Hexagonal Architecture, C4 Model & MCP. Features Meta-agents for self-improvement, Memory Bank for context persistence, and automated 100% test coverage. Everything-as-Code & Mermaid.js centric to save context window and slash token costs.

The 500 AI Agents Projects is a curated collection of AI agent use cases across various industries. It showcases practical applications and provides links to open-source projects for implementation, illustrating how AI agents are transforming sectors such as healthcare, finance, education, retail, and more.

MCP-based AI agent monitoring system

An MCP server that reconciles real LLM inference cost using ccusage-captured usage logs from Claude Code, Codex, OpenCode, Amp, and other CLI tools.

Claude Code Agent Skill/API/MCP: mentor for embedded/IoT hardware projects (MCU selection, cost & time estimates, MVP-first build plans, PCB transition guidance).

Connect LLM agents to your WireBoard analytics data using the Model Context Protocol for real-time and historical project insights.

Agent-first MCP server for LSP-based code intelligence