Mcp Adr Analysis Server

Your ADRs are lying to you. This MCP server catches it — live drift detection validates architectural decisions against your actual code. Plus content safety, decision memory, and 63 tools powered by your host LLM via CE-MCP.

Table of contents

• What is MCP?
• Prerequisites
• Quick Installation
• Quick Setup
• Usage Examples
• Use Cases
• Technology Stack
• Project Structure
• Testing
• ADR Aggregator Integration
• Development
• Troubleshooting
• Security & Performance
• Contributing
• Resources
• License

What is MCP?

The Model Context Protocol (MCP) is an open standard that enables seamless integration between AI assistants and external tools and data sources. Think of it as a universal adapter that lets AI assistants like Claude, Cline, and Cursor connect to specialized servers. This server gives your AI assistant the ability to detect ADR drift against live code, mask sensitive content before it leaks, and remember architectural decisions across conversations.

TL;DR

What: MCP server that validates architectural decisions against your actual code — drift detection, content safety, and decision memory
Who: AI coding assistants (Claude, Cline, Cursor, Windsurf), enterprise architects, development teams
Why: Catch stale ADRs before they cause production incidents — live validation against code evidence, no API key required
How: npm install -g mcp-adr-analysis-server → Add to your MCP client → Start analyzing

Key Features: Tree-sitter AST analysis • Security content masking • Drift detection • CE-MCP orchestration directives • Deployment readiness validation