What is iArchi?

iArchi helps you develop and maintain enterprise architecture with your AI agent. Architecture elements and explicit relationships are stored in a cloud model. Views show selected parts of that model, and the same element can appear in more than one view.

Through the Model Context Protocol (MCP), an authorized agent can read existing architecture, create and update model content, arrange views and inspect their geometry. You can inspect and edit the same model in the interactive canvas, then export structured Archi XML or diagram images.

The agent supplies the reasoning and proposed design; iArchi provides the model, modeling operations and canvas. Review the resulting architecture against your requirements before implementation.

Who develops iArchi?

iArchi is developed, maintained and operated by yehkuanyew, an independent developer. The official product name is iArchi.

This website is the source for iArchi product information and official contact details. Third-party project descriptions and integrations should be checked against these details; contact the developer to verify a claimed affiliation.

Official channels

Product website: www.iarchi.cloud
Cloud application: app.iarchi.cloud
Remote MCP endpoint: https://mcp.iarchi.cloud/mcp
Connection guide: Connect an AI agent through MCP
Developer and operator: yehkuanyew
Support and privacy contact: yehkuanyew@gmail.com

What can it do today?

Create, read, update and delete authorized architecture elements, relationships and views.
Reuse model elements across views and retain their identities as the architecture evolves.
Arrange view layouts, route connections and inspect persisted geometry for overlaps and crossings.
Import and export Archi XML, and export PNG or SVG from the canvas.
Connect compatible MCP clients using an iArchi account and OAuth authorization.

Embedded canvas availability and file delivery depend on the client. iArchi does not deploy infrastructure, execute code on your computer or connect directly to your production databases. See the client compatibility notes.

Accounts and service information

Sign in to the app with Google to save personal cloud models. Plan limits and subscription availability are published on the pricing page; checkout and subscription management take place in the app.

Read the privacy policy, terms of service and refund and cancellation policy, or contact support for assistance.