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  3. MCP Adr Analysis Server
MCP Adr Analysis Server logo
Health: ActiveRecent health check succeeded.Last checked 9/7/2026, 4:15:53 AM

MCP Adr Analysis Server

User RatingsBe the first to rate and review this MCP server!
View Repository33 GitHub StarsTotal stargazers on GitHub for the source repository (33 stars).Visit Website

AI-driven server for architectural decision analysis, ADR management, security checks, TDD, and deployment validation.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent โ€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag โ€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON โ–พ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "tosin2013-mcp-adr-analysis-server": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-adr-analysis-server"
      ]
    }
  }
}

๐Ÿ’ก Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (7) Directory Badge Claim listing Alternatives๐Ÿ“Š More in Data Visualization

Overview

This MCP server provides AI-powered analysis of software architecture by detecting technology stacks, managing Architectural Decision Records (ADRs), and linking code to architectural decisions. It supports security content masking, enhances test-driven development workflows, and validates deployment readiness with strict test enforcement. Use it to integrate architectural insights and governance into AI-assisted development environments.

Use cases

โ€ขAnalyze software architecture and generate architectural decision records
โ€ขDetect technology stacks and architectural patterns in codebases
โ€ขLink code files semantically to architectural decisions
โ€ขMask sensitive content for security and compliance
โ€ขValidate test-driven development and deployment readiness

Key features

โ€ขTree-sitter AST-based code and architecture analysis
โ€ขAI-powered ADR generation and management
โ€ขSmart code linking via keyword extraction and semantic search
โ€ขSecurity content detection and automatic masking
โ€ขTwo-phase test-driven development integration
โ€ขZero-tolerance deployment readiness validation

Capabilities & Tool Schemas (7) ~85 tokensApproximate context cost of this serverโ€™s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server โ€” may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by MCP Adr Analysis Server.

sync_to_aggregator

Push local ADRs to platform

get_adr_context

Pull ADR context from platform

get_staleness_report

Get ADR governance/health reports

get_adr_templates

Retrieve domain-specific templates

get_adr_diagrams

Get Mermaid diagrams for ADRs

validate_adr_compliance

Validate ADR implementation

Documentation Overview

MCP (Model Context Protocol) ADR (Architectural Decision Record) Analysis Server

GitHub License NPM Version Node.js TypeScript Good First Issues

Your ADRs are lying to you. This MCP server catches it โ€” live drift detection validates architectural decisions against your actual code. Plus content safety, decision memory, and 64 tools powered by your host LLM via CE-MCP.

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 โ€” 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 โ€” live validation against code evidence, no API key required
How: npm install -g mcp-adr-analysis-server โ†’ Add to your MCP client โ†’ Start analyzing

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

Key Terms
TermDefinition
ADRArchitectural Decision Record โ€” A document that captures an important architectural decision along with its context, alternatives considered, and consequences.
MCPModel Context Protocol โ€” An open standard enabling AI assistants to connect to external tools and data sources.
CE-MCPClaude-Enriched MCP โ€” Execution mode where tools return orchestration directives for the host LLM instead of making their own AI calls. Default since v2.14.
Tree-sitterAn incremental parsing library that provides AST (Abstract Syntax Tree) analysis for 50+ languages. Used for semantic code understanding, extracting function signatures, and identifying architectural patterns.
Session & Tool-Usage TrackerProject-local tracking of session intents, tool executions, and ADR registrations, with keyword-scored retrieval over JSON snapshots. Supports workflow continuity and tool-usage evidence โ€” not a graph database.
Smart Code LinkingDiscovery of code files related to ADRs and architectural decisions, using keyword extraction and ripgrep search.
ADR AggregatorOptional SaaS integration for syncing and sharing ADR context across teams (ADR_AGGREGATOR_API_KEY).

Author: Tosin Akinosho | Repository: GitHub

โœจ Core Capabilities

๐Ÿ”„ Drift Detection - Validate ADR decisions against live code and infrastructure evidence ๐Ÿ›ก๏ธ Content Safety - Detect and mask secrets, PII, and sensitive content automatically ๐Ÿง  Decision Memory - Session & tool-usage tracking with keyword-scored retrieval ๐Ÿ—๏ธ Technology Detection - Identify any tech stack and architectural patterns ๐Ÿ“‹ ADR Management - Generate, suggest, and maintain Architectural Decision Records ๐Ÿ”— Smart Code Linking - Discovery of code files related to ADRs and decisions ๐Ÿš€ Deployment Readiness - Zero-tolerance test validation with hard blocking

๐Ÿ“– View Full Capabilities โ†’ ยท ๐Ÿ“œ Release policy โ†’ ยท ๐Ÿ—’๏ธ Changelog โ†’

Prerequisites

Before installing, verify you have:

bash
node --version  # Should show v20.0.0 or higher
npm --version   # Should show 9.0.0 or higher (included with Node.js 20+)

Required:

  • Node.js 20.0.0 or higher โ€” Download or use nvm/fnm
  • npm 9.0.0 or higher (included with Node.js 20+)
  • An MCP-compatible client โ€” Claude Desktop, Cline, Cursor, or Windsurf

Network Requirements

  • Internet access required during npm install for native module compilation (tree-sitter incremental code parsers for YAML and TypeScript)
  • If behind a corporate proxy, set HTTP_PROXY and HTTPS_PROXY environment variables
  • Offline fallback: If native builds fail, the server operates in reduced mode without tree-sitter code analysis

๐Ÿ“ฆ Quick Installation

bash
# Option 1: Global installation (recommended for frequent use)
npm install -g mcp-adr-analysis-server

# Option 2: Use npx (no installation required)
npx mcp-adr-analysis-server

# Option 3: From source (for development or customization)
git clone https://github.com/tosin2013/mcp-adr-analysis-server.git
cd mcp-adr-analysis-server && npm install && npm run build

# Option 4: RHEL 9/10 systems (special installer)
curl -sSL https://raw.githubusercontent.com/tosin2013/mcp-adr-analysis-server/main/scripts/install-rhel.sh | bash

Note: When installing from source, npm run build is required before running the server since the bin entry points to ./dist/src/index.js.

๐Ÿ“– Detailed Installation Guide โ†’ | RHEL Setup โ†’

โšก Quick Setup (2 Steps)

  1. Install: npm install -g mcp-adr-analysis-server
  2. Configure Client: Add to Claude Desktop, Cline, Cursor, or Windsurf โ€” no API key required
config.json
{
  "mcpServers": {
    "adr-analysis": {
      "command": "mcp-adr-analysis-server",
      "env": {
        "PROJECT_PATH": "/path/to/your/project"
      }
    }
  }
}

That's it. The server runs in CE-MCP mode by default โ€” your host LLM (Claude, GPT, etc.) executes the analysis using orchestration directives returned by the tools. No external API key needed.

Claude Desktop users: Save this JSON to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows).

Config locations for other clients
ClientConfig file location
Claude Desktop (macOS)~/Library/Application Support/Claude/claude_desktop_config.json
Claude Desktop (Windows)%APPDATA%\Claude\claude_desktop_config.json
Cline (VS Code)VS Code Settings โ†’ Cline โ†’ MCP Servers (or .vscode/cline_mcp_settings.json)
VS Code (native MCP).vscode/mcp.json in workspace root
CursorCursor Settings โ†’ MCP โ†’ Add Server

๐Ÿ“– VS Code Integration Guide โ†’ โ€” step-by-step setup for Cline, Continue, and VS Code native MCP with example configs.

Optional: OpenRouter Full Mode (legacy)

If you want the server to make its own AI calls (bypassing the host LLM), add an OpenRouter API key:

config.json
{
  "mcpServers": {
    "adr-analysis": {
      "command": "mcp-adr-analysis-server",
      "env": {
        "PROJECT_PATH": "/path/to/your/project",
        "OPENROUTER_API_KEY": "your_key_here",
        "EXECUTION_MODE": "full"
      }
    }
  }
}

Sign up at OpenRouter.ai/keys. This mode is not recommended โ€” CE-MCP produces equivalent results using your existing host LLM context.

Optional: ADR Aggregator integration

Read the full README โ†’View source on GitHub โ†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks โ€” not a rating.

GitHub stars
33
Stargazers on the source repository.
npm downloads
5.2k
Package downloads in the last 30 days.
Last commit
4d ago
Most recent push to the default branch.
Tools exposed
7
Callable tools this server registers over MCP.
Directory activity
2 views
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about MCP Adr Analysis Server

It supports multiple AI models via integration with OpenRouter API.

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Technical Specs & Signals

Category๐Ÿ“ŠData Visualization
More technical detailsExpand โ–พ
TransportSTDIO
RuntimeNode.js
Last updatedSep 6, 2026
9/10 checks healthy over the last 31d
Views2
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars33
GitHub Star CountTotal stargazers on GitHub representing community popularity (33 stars).
Last commit4d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Sep 6, 2026
npm downloads5,176/mo
Monthly npm DownloadsAverage monthly package installs recorded from npm registry statistics.
64Quality signal: Good ยท 64/100How this signal is calculated โ–พ
Server availabilityNot measured

Not scored for repo-hosted servers โ€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools27/30
Adoption & activity11/15
Community engagement0/10

A guidance signal from public completeness & health data โ€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 13d ago via OSV.dev ยท mcp-adr-analysis-server (npm)

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