📡 MCP Radar

rdtan/architecture-discovery-mcp

Auto-discover enterprise architecture artifacts (TOGAF AA series) from Java/Maven source code via MCP Server. Scan once, get Excel + PPTX in seconds.

⭐ 4 stars
⑂ 0 forks
Python
momentum ▲ 8.0
created 2026-07-18
on radar since 2026-07-23
application-architecturecode-analysisenterprise-architecturejavamcpmicroservicesmodel-context-protocolspring-boottogaf
View on GitHub ↗Homepage ↗

About architecture-discovery-mcp

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

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.

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

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

Tool Description ------------------- scanprojecttool Scan project structure, return modules/frameworks overview generateapparchitecturetool Generate full AA artifact set (Excel + PPTX) exportintermediatedata Export structured analysis as JSON generatedataarchitecture DA artifacts (coming soon) generatetecharchitecture TA artifacts (coming soon)

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

- 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)

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

From the project README.

Maintaining this server?

Add the radar badge to your README — it shows your project was picked up by MCP Radar and links to this page:

[![On MCP Radar](https://mcp.liqiwa.com/badge.svg)](https://mcp.liqiwa.com/s/rdtan--architecture-discovery-mcp.html)

Related MCP servers

ultramancode/spring-ai-privacy-guardrails

Privacy guardrails for Spring AI: request-scoped PII tokenization and least-privilege disclosure across model/tool calls, with Presidio and JVM-local OpenNLP.

⭐ 5Java
TikyParkinson/mcp-agent-guardrails-spring-boot-starter

Security & governance guardrails for MCP agents in Java — audit trail, agent-to-tool authorization, prompt-injection detection and rate limiting as a zero-config Spring Boot starter.

⭐ 4Java
java-ai-in-action/framework-compare

Spring AI vs LangChain4j vs SAA 三框架同台对比(配套篇2)

⭐ 4Java
HanHan666666/patchbridge-agent

Lightweight browser-side AI agent framework for legacy enterprise web apps—Java 8, Spring Boot 2, TypeScript, MCP/WebMCP, OpenAI-compatible LLMs, tool calling, streaming, audit, and persistence. 面向存量企

⭐ 3Java
Adeniyikayodee/ng-postcode

Rust, Python, JavaScript, and Java libraries and MCP servers for Nigeria's NIPOST digital postcode (NDAPS): offline validation, lookup, and reverse geocoding.

⭐ 4Python
pinoox/neuromesh

The Biomimetic Context Engine & Neural Runtime for AI Coding Assistants

⭐ 72Rust

📬 Get the weekly radar in your inbox

The top new MCP servers of the week, every Monday. No spam, unsubscribe anytime.