原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Architecture Intelligence Platform

作者:michaelegner版本 0.8.0i★ –i–
注册名称io.github.michaelegner/architecture-intelligence-platform

安装

概览

作者提供的说明(英文原文)

Evidence-qualified architecture context for coding agents.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: –
  • 传输方式:
  • 分类: 其他

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 注册中心没有列出需要填写的密钥。

作者没有在注册中心列出安装信息。请查看下方作者的 README。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 michaelegner 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 32564 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 32564 个服务器的 79% 更新
  • 基础检查结果等于或优于此分类中其他 32564 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Architecture Intelligence Platform 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.8.0)于9天前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。

有什么可以替代它?

同一分类中有:Spec Driven Development, Remote Desktop Commander, Tools MCP

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Spec Driven Development

作者:formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

在你的电脑上运行★ 440MIT14个月前更新
安装

Remote Desktop Commander

作者:desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

在云端运行★ 211昨天更新
安装

Tools MCP

作者:First-CH

Web production tools for AI agents: contrast, JP text, WebP, JSON-LD, slugs, dates and 40+ more

在你的电脑上运行今天更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

Architecture Intelligence Platform

Before changing a distributed system, do you know who relies on the part you're changing?

The answer may be spread across repositories, API contracts, broker configuration, runtime observations, catalogs, and other teams. Some relationships are documented; others appear in observations but have no matching documented promise.

AIP shows who relies on what across autonomous boundaries, which promises apply, what the evidence establishes, and what remains unresolved. It provides evidence-qualified architectural context that architects, engineering teams, and coding agents can inspect.

[See the binding picture](#the-binding-picture) · [Try the hosted MCP demo](#try-aip) · [Technical documentation](#documentation)

MCP Registry: io.github.michaelegner/architecture-intelligence-platform

What is AIP?

Repository and source-analysis tools explain implementations an engineer or agent can inspect. AIP complements them with attributable architectural promises and independent evidence about relationships across autonomous boundaries. It keeps what is promised, observed, and unresolved distinct instead of presenting assumptions as facts.

The binding picture

AIP binding picture brings cross-boundary relationships together

Sokol111 is an open-source, event-driven e-commerce platform built from independently developed Go microservices. AIP uses it as a realistic showcase: when planning a broker migration, understanding one service's documented event flows is not enough to know which other services may be affected.

Sokol111's architecture documents show Catalog Management publishing events to Storefront. But captured broker attachments reveal more: Catalog and Image also consume tenant events from Store Provisioning, and Storefront consumers are attached to attribute events. A migration planned from the documentation alone could overlook these relationships.

AIP makes the bigger picture visible before the change starts. By combining documented event relationships with observed broker attachments, its binding picture helps architects and coding agents identify which services to investigate—and where the documented view is incomplete.

Explore the hosted binding picture · Follow the v0.8 migration showcase

Try AIP

Sokol111 hosted MCP demo

The public, read-only endpoint serves the frozen v0.8.0 Sokol111 C1 dataset, not live monitoring. It requires no local AIP server or server credentials. With Claude Code installed, connect to seven read-only tools, including the experimental get_binding_picture:

claude mcp add --transport http aip-hosted https://mcp.daip.io/mcp

In Claude Code, check /mcp and ask:

Which bindings cross the Catalog Management boundary in environment local on

broker kafka:sokol111-local? Show which are promised and observed, which remain

unresolved, and resolve the relevant evidence at the same snapshot.

Use get_binding_picture with bounded_context_id: catalog-management and broker_ids: [kafka:sokol111-local]. See the hosted walkthrough for the exact request, expected findings, limitations, and troubleshooting.

Quick Start

For an introductory, deterministic declared-versus-observed demo, install Docker with Compose, plus curl and jq. No LLM API key is needed:

git clone https://github.com/michaelegner/architecture-intelligence-platform.git

cd architecture-intelligence-platform cp .env.example .env examples/runtime-demo/mcp-demo.sh

This separate example demonstrates get_architecture_drift and get_evidence. Clean up with examples/runtime-demo/mcp-demo.sh --down. For the full platform, see the development guide.

Real-system showcases: Sokol111 (Redpanda/Kafka), Pitstop (.NET/RabbitMQ) and Quarkus Super Heroes. The MCP client setup guide covers Codex, Claude Code, Cursor, and VS Code; previous end-to-end client qualification was performed against v0.4.2, not re-qualified for v0.8.0.

How AIP works

AIP combines independent sources without treating declarations, observations, and promises as interchangeable. It projects only what is relevant to a selected architectural question.

AIP's deterministic architecture service uses Neo4j and makes qualified results available through read-only REST and MCP interfaces. Six MCP tools are enabled by default; get_binding_picture is an experimental seventh tool behind architecture_intelligence.experimental.binding-picture: true (enabled on the hosted demo). No LLM key is required to produce these answers.

Declared vs observed

For direct dependency/drift answers, AIP retains these distinctions:

QualificationMeaning
CONFIRMEDDeclared and observed in the relevant context.
OBSERVED_ONLYObserved but not declared in the ingested sources.
NOT_OBSERVED_IN_WINDOWDeclared but not observed in the specified window—not proof it is absent or unused.

These older dependency qualifications are not the same as the experimental v0.8 binding-picture assessment statuses.

Boundaries matter: A frozen broker capture establishes a group's topic attachment at capture time, not the event types a service handles; producer declarations are not observed production; an absent promise is not a proven violation; and the two-broker picture does not establish cross-broker delivery. AIP keeps these limits explicit in its answers.

The public hosted endpoint is a constrained demo behind an HTTP edge; the AIP MCP server itself is not a general authenticated, multi-tenant public service. Keep self-hosted MCP access local or on a trusted network. See the security model.

Documentation

Try and integrate: Hosted walkthrough · MCP reference · Client setup · Architecture · Development

Evidence and limitations: v0.8 release notes · Showcase evidence · v0.8 comparison · Security

Project: Product doctrine · Roadmap · Contributing · Discussions · Security reports

Current status: v0.8.0 is a shipped demonstration release. The binding-picture contract remains experimental. In a controlled 12-session comparison, AIP reduced information requests in the team-scoped setting, but did not show a robust improvement in migration-planning quality. Real customer value and the effort of maintaining attributable promises remain to be validated.

Apache-2.0 licensed. See LICENSE and third-party licenses.

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