Prototype · Preview: every server in the official registry, synced every 30 minutes. Reviews and accounts come in a later step.
PopNx MCPMCP servers for people who use AI · explained in plain words

Architecture Intelligence Platform

by michaelegnerversion 0.8.0i★ –i–
Registry nameio.github.michaelegner/architecture-intelligence-platform

Install

Overview

Description from the maker (original English)

Evidence-qualified architecture context for coding agents.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: –
  • Transport:
  • Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

The maker has not listed install details in the registry. See the maker’s README below.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account michaelegner, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 32537 servers in this category
  • Published to the registry more recently than 79% of the other 32537 servers in this category
  • Basic checks equal to or better than 100% of the other 32537 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Architecture Intelligence Platform safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.8.0) reached the registry 9 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, TF Rooms

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Spec Driven Development

by formulahendry

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

Runs on your computer★ 440MITUpdated 14 months ago
Install

Remote Desktop Commander

by desktop-commander

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

Runs in the cloud★ 211Updated yesterday
Install

TF Rooms

by tfrooms.com

Live room availability, rates and stay quotes for 12 New Leaf motels in Twin Falls, Idaho.

Runs in the cloudUpdated today
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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.

Ask PopNx