The MockFlow WireframePro MCP (Model Context Protocol) Server connects your AI tools directly to MockFlow WireframePro, enabling a two-way design workflow between your AI tool and the wireframing canvas.
Instead of manually building wireframes, you can describe a page layout in plain language and have your AI generate it instantly as editable wireframe components. And it works the other way too — you can design a wireframe in WireframePro and ask AI to convert it into production-ready code (React, Vue, Tailwind, and more).
How Does MockFlow MCP Work?
When you ask your AI to create a wireframe, here's what happens behind the scenes:
- Start by describing your idea — for example, a SaaS dashboard with a sidebar, summary cards, and a data table.
- The AI interprets your request and builds a structured layout using HTML and inline styling.
- The MCP server then translates that structure into interactive wireframe elements inside WireframePro — such as navigation bars, buttons, inputs, and content blocks.
- Once generated, you can fine-tune the design directly on the canvas or prompt the AI to convert it into production-ready code in your preferred framework.
This gives you a fully editable wireframe — not a static image — that you can continue working with in MockFlow.
What Can You Do with It
The WireframePro MCP Server provides the following tools:
Tools | What it does |
render_wireframe | Converts AI-generated HTML into editable wireframes. |
render_flowchart | Creates flowcharts and UML diagrams. |
render_cloudarchitecture | Generates cloud and network architecture diagrams. |
read_wireframe (Desktop only) | Exports wireframe context for AI-based code generation. |
Example Prompts to Try
- Create a wireframe for an e-commerce checkout page with a cart summary and payment form."
- Wireframe a mobile login screen with email, password, and social login options.
- Read the current wireframe and convert it to React with Tailwind CSS.
- Create a flowchart for the user onboarding flow.
What are the ways to connect with the MockFlow WireframePro MCP server?
There are two ways to connect with the MockFlow WireframePro server, depending on your workflow and preferences:
Desktop App MCP
The Desktop App MCP is built directly into the MockFlow Desktop App. It supports the full two-way workflow — you can both create wireframes from descriptions AND export your existing wireframes to code using the read_wireframe tool. All changes appear live on your open canvas.
How to set it up:
1First, download and open the MockFlow Desktop App.
2Open a WireframePro project.
3In your AI tool (Claude Code / Cursor), run the command below to connect:
4Then, type the prompt in your AI tool like"Create a wireframe for..."
CLI Web MCP
The CLI Web MCP is an npm package you install globally. You authenticate via your browser (OAuth), and wireframes are saved directly to your MockFlow account. This method does not include the read_wireframe export tool.
How to set it up:
1Start by installing the package globally with
2Then log in via your browser using
3And finally launch the server with
Comparison: Desktop App MCP vs CLI Web MCP
Feature | Desktop App MCP | CLI Web MCP |
Create wireframes from AI | ✅ | ✅ |
Export wireframe to code (read_wireframe) | ✅ | ❌ |
Works offline / file-mode projects | ✅ | ❌ |
Wireframes saved to the MockFlow account | ❌ (local) | ✅ |
Requires installation | Desktop App | npm package |
Rate limit | 10 calls/5 min (Basic) 30 calls/min (Paid) | 20 calls/min |
Supported AI Tools
The WireframePro MCP Server works with the following AI tools, with more integrations coming soon. Click on any tool below to learn more and view its setup guide.
- Claude Code — Use via the CLI Web MCP, or the Desktop App MCP.
- Cursor — Use via the CLI Web MCP, or the Desktop App MCP.
- VS Code Copilot — Use via the CLI Web MCP.
Who Is This For?
The WireframePro MCP Server is useful across a range of roles:
- Product Managers — Convert PRDs into wireframes and share interactive mockups from AI conversations.
- Software Engineers — Generate wireframes from API routes and convert them to React or Vue code.
- Designers & UX — Iterate wireframes with AI and export designs for pixel-perfect frontend code.
- Startups — Rapidly prototype from ideas — go from concept to wireframe in seconds.
- Agencies — Create client wireframes from brief descriptions and speed up proposal workflows.
- Educators — Teach UI design with AI-generated wireframe examples.
