Gemini Design MCP Server

An MCP (Model Context Protocol) server that uses Gemini 2.5 Flash to generate frontend UI code. Works with Claude Code, Cursor, and any MCP-compatible client.

Tools

Related MCP server: mcp-garendesign

Setup

1. Clone and install

git clone <repo-url>
cd mcp-design-gemini
python -m venv .venv
source .venv/bin/activate   # Windows: .venv\Scripts\activate
pip install -r requirements.txt

2. Add your Gemini API key

Create a .env file in the project root:

GEMINI_API_KEY=your_api_key_here

Get a free API key at aistudio.google.com.

3. Configure in Claude Code

Add this to your Claude Code MCP settings (~/.claude/claude_code_config.json):

{
  "mcpServers": {
    "gemini-design": {
      "command": "/ABSOLUTE/PATH/TO/mcp-design-gemini/.venv/bin/python",
      "args": ["/ABSOLUTE/PATH/TO/mcp-design-gemini/server.py"]
    }
  }
}

Replace /ABSOLUTE/PATH/TO/ with the actual path on your machine.

4. Restart Claude Code

The server starts automatically when Claude Code calls any of its tools.

Usage Examples

Generate a UI:

"Design a pricing page for a SaaS product"

Convert a screenshot:

"Convert this screenshot to code: /path/to/screenshot.png"

Refine existing code:

"Change the background to dark blue and make the font bigger"

Control token budget (on gemini_design):

• complexity: "small" — 8K tokens (button, card)

• complexity: "medium" — 16K tokens (form, navbar)

• complexity: "large" — 32K tokens (full page, default)

• complexity: "xl" — 64K tokens (dashboard, multi-page)

Features

• Image compression — Screenshots are auto-resized before sending to Gemini (saves 50-80% on input tokens)

• Response caching — Identical gemini_design prompts return instantly from cache

• Dynamic token budget — Match output size to component complexity

• Iterative refinement — Edit generated code without regenerating from scratch

Requirements

• Python 3.10+

• A Gemini API key (free tier works)