AI MDLC Kernel

Verified Integration

Author: @spawning•Category: ServerApplication

GitHub Repository

JSON-RPC 2.0

Protocol Standard

Sub-second

Execution Latency

Active

Operational Status

Client Configuration

— Connect AI MDLC Kernel to Claude Desktop or Cursor in seconds

{
  "mcpServers": {
    "ai-mdlc-kernel": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-ai-mdlc-kernel"
      ],
      "env": {}
    }
  }
}

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows).

Architecture & Capabilities

System Overview

Transforms structured markdown into production-grade software through an autonomous, self-correcting, and traceable development pipeline.

Indexed Date

7/21/2026

License

Open Source

Protocol Layer

stdio / SSE RPC

Frequently Asked Questions

Architecture and operational details for AI MDLC Kernel

It uses plain markdown files as an agent-agnostic control plane, guiding a single AI agent through specialized roles (Researcher, Architect, Spec Writer, Engineer, QA, SRE). This structured 'Markdown Development Life Cycle' (MDLC) ensures disciplined execution, from research to a working system.

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