architectos
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@architectosreview the repository health"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
ArchitectOS
AI-Native Repository Intelligence & Governance Engine
ArchitectOS analyzes your repository, explains its architecture, calculates change impact, and enforces guardrails for AI Agents (Claude Code / Cursor / Codex).
Strict Product Mandate: ArchitectOS never modifies user code directly; it exclusively analyzes, explains, calculates impact, and generates actionable refactoring plans. Code modifications are executed by AI Agents or human developers.
โก Quickstart & Core Commands
# 1. Initialize and review repository
npx architectos
# 2. High-level repository health, security & UI review (with optional CI threshold)
architectos review
architectos review --threshold 80
# 3. Component deep-dive (supports --why, --ui, --dead, --duplication, --taint)
architectos analyze toolbar.tsx
architectos analyze toolbar.tsx --why
architectos analyze --ui
architectos analyze --dead
architectos analyze --duplication
architectos analyze --taint auth.controller.ts
# 4. View historical score timeline and trend
architectos history
# 5. Cross-graph downstream change impact & risk rating
architectos impact auth.ts
# 6. Structured refactoring migration plan
architectos plan toolbar.tsx
# 7. Symbol resolver & natural language architecture query
architectos resolve WorkspaceRepository
architectos resolve "Where is tenant isolation enforced?"
# 8. Native MCP server gateway & live watcher
architectos watch
architectos mcpRelated MCP server: arch-viewer
๐๏ธ The ArchitectOS Pipeline
architectos review # High-level health & problem breakdown (--threshold 80)
โ
architectos analyze <target> # Deep-dive (--why, --ui, --dead, --duplication, --taint)
โ
architectos impact <target> # Cross-graph downstream change risk
โ
architectos plan <target> # Step-by-step refactoring migration plan
โ
architectos resolve <symbol> # Hallucination shield & symbol resolver
โ
architectos history # Historical score timeline & trend tracking
โ
AI Agent / Developer executes refactor๐ฏ Engine Precision & Accuracy Features
25 CWE-Mapped SAST Engine: High-precision rules covering SQLi, XSS, RCE, ReDoS, Prototype Pollution, NoSQLi, Open Redirect, Unsafe Deserialization, and Weak Cryptography.
Context-Aware Noise Filter: Automatically suppresses false positives inside test blocks (
describe/it), JSDoc comments, dead conditional branches, and when known sanitizers (DOMPurify,escapeHtml) are detected.Multi-File Taint Tracking Engine: Traces untrusted user inputs (HTTP
req.body/searchParams) down to dangerous execution sinks across multi-file import graphs.Code Duplication Scanner: Token-fingerprinted Jaccard similarity engine detecting copy-pasted code blocks across monorepo packages.
Framework Entrypoint Whitelist: Eliminates false positives for Next.js (
GET,POST,generateMetadata,middleware), Remix, Vitest, and CLI entrypoints.Tarjan SCC Cycle Detection: Mathematically sound circular dependency cycle detection for complex monorepos.
Public Scoring Transparency: Fully documented formulas and deduction rules in SCORING.md.
๐งช Real-World Benchmark Verification (v1.2.1 Engine Breakdown)
ArchitectOS is battle-tested and dogfooded across major open-source codebases with transparent sub-metric scoring:
Repository | Files | Overall | Arch | Sec | Qual | AI | UI | Scan Speed | Top Focus Area |
| 520+ | 88/100 | 92 | 84 | 90 | 94 | 80 | <18ms | Canvas Component Decomposition |
| 1,400+ | 84/100 | 80 | 88 | 82 | 90 | 80 | <45ms | Booking Service Layer Isolation |
| 120+ | 96/100 | 98 | 95 | 96 | 95 | 96 | <8ms | UI Component Primitive Boundaries |
| 51 | 100/100 | 100 | 100 | 100 | 100 | N/A | <19ms | Native Self-Hosted AST Governance |
Note: Pure CLI / backend repositories (e.g. architectos) omit UI Architecture scoring.
๐ค Native MCP Server Integration
Add ArchitectOS to your Claude Code, Cursor, or Codex MCP configuration:
{
"mcpServers": {
"architectos": {
"command": "npx",
"args": ["-y", "architectos", "mcp"]
}
}
}Registered MCP Tools
architectos_review: Repository health & problem breakdown.architectos_why: Root-cause coupling analysis.architectos_impact: Polyglot change impact calculator.architectos_plan: Step-by-step migration refactoring plan.architectos_resolve: Symbol resolver & hallucination shield.architectos_dead: Unused exports & zombie code detector.architectos_ui: Framework-agnostic UI component composition & boundary audit.architectos_remember: Store persistent architectural guardrail rules.
๐ License
MIT License ยฉ 2026 ArchitectOS Authors
This server cannot be deployed
Maintenance
Related MCP Connectors
Code intelligence platform for AI agents. 20 tools for architecture, security & impact analysis.
Repo intel for AI coding agents: overview, PRs, contributors, hot files, CI, deps. Remote MCP.
AI Agent with Architectural Memory. Impact analysis (free), tests and code from the graph (pro).
Team memory for AI coding agents and code reviews, reviewed by humans and served over MCP.
Related MCP Servers
- AlicenseAqualityDmaintenanceEnables analysis of any GitHub repository to get architecture, file roles, execution flows, system design Q\&A, and structured agent context. Works with MCP-compatible clients like Claude Desktop, Cursor, and Windsurf.626 npm1MIT
- AlicenseNot gradedqualityDmaintenanceProvides AI-powered architecture analysis and visualization of codebases, exposing 17 MCP tools for querying components, dependencies, and generating interactive diagrams.294 npm5MIT

NEAT MCP Serverofficial
AlicenseNot gradedqualityAmaintenanceProvides AI agents with a live architecture model of a codebase, enabling queries for root cause analysis, blast radius, and dependency traversal through MCP tools.385 npm21Apache 2.0- AlicenseAqualityCmaintenanceEnables AI coding assistants to understand codebase architecture in real time by parsing source code into a relationship graph and exposing call chains, dependencies, class hierarchies, and conventions via MCP tools.1419 PyPI4MIT