Architecture Discovery Engine

Auto-discover enterprise architecture artifacts from Java/Maven source code. Scan your project and generate TOGAF-standard application architecture deliverables in seconds.

What It Does

Point it at a Java/Maven project and get:

• AA-01 Application Module Inventory (Excel)
• AA-02 Function Item Inventory (Excel)
• AA-03 Sub-function Inventory (Excel)
• AA-04 Function Distribution (Excel)
• AA-05 Integration Inventory (Excel)
• AA-07 Application Architecture Diagram (PPTX)
• AA-08 Application Integration Diagram (PPTX)

All generated from static analysis — no runtime required, no code leaves your machine.

Install

pip install architecture-discovery-mcp

Requires Python 3.11+.

Usage

As an MCP Server (recommended)

The engine runs as an MCP server over stdio. Configure it in your AI IDE:

Claude Code (~/.claude.json):

{
  "mcpServers": {
    "architecture-discovery": {
      "command": "architecture-discovery-mcp"
    }
  }
}

Cursor (.cursor/mcp.json):

{
  "mcpServers": {
    "architecture-discovery": {
      "command": "architecture-discovery-mcp"
    }
  }
}

VS Code (.vscode/settings.json):

{
  "mcp": {
    "servers": {
      "architecture-discovery": {
        "command": "architecture-discovery-mcp"
      }
    }
  }
}

Then ask your AI assistant naturally:

"Scan D:/projects/my-java-app and generate the application architecture artifacts"

Available MCP Tools

Tool	Description
scan_project_tool	Scan project structure, return modules/frameworks overview
generate_app_architecture_tool	Generate full AA artifact set (Excel + PPTX)
export_intermediate_data	Export structured analysis as JSON
generate_data_architecture	DA artifacts (coming soon)
generate_tech_architecture	TA artifacts (coming soon)

All tools accept an optional locale parameter ("zh" or "en", default "zh").

As a Python Library

from pathlib import Path
from src.scanner.project_scanner import scan_project
from src.analyzers.module_analyzer import analyze_modules
from src.analyzers.api_analyzer import analyze_apis
from src.analyzers.integration_analyzer import analyze_integrations
from src.generators.app_architecture_generator import generate_app_architecture
from src.generators.aa07_generator import generate_aa07
from src.generators.aa08_generator import generate_aa08

project = scan_project(Path("your-java-project"))
project = analyze_modules(project)
endpoints = analyze_apis(project)
integrations = analyze_integrations(project)

out = Path("output")
generate_app_architecture(project, endpoints, integrations, out, locale="en")
generate_aa07(project, out, locale="en")
generate_aa08(project, integrations, out, locale="en")

Supported Projects

• Java/Maven projects (must have pom.xml)
• Spring Boot / Spring Cloud microservices
• Feign client integration detection
• Nested multi-module projects (e.g. RuoYi-Cloud style)

Internationalization

Artifacts can be generated in Chinese (locale="zh", default) or English (locale="en"). This controls:

• Excel column headers and sheet names
• Cell values (layer names, status labels)
• PPTX slide titles and diagram labels
• Font selection (Microsoft YaHei for Chinese, Calibri for English)

Security

• Runs locally via stdio — no network exposure
• Source code never leaves your machine
• Exported JSON contains only structural metadata (class names, API paths, annotations), not source code

Development

git clone <repo-url>
cd architecture-discovery-engine
pip install -e ".[dev]"
pytest tests/ -v

License

MIT