Simple Design MCP Orchestrator
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Simple Design MCP Orchestratorcreate a recipe sharing app"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Simple Design MCP Orchestrator v3.0
Orchestrates app design workflows for Claude Code local execution - no more rate limits! 🎯
What's New in v3.0 - The Orchestrator Architecture
The Problem We Solved
v2.0 Issue: MCP server did all the work, hitting rate limits (100 req/min)
v3.0 Solution: MCP returns workflows, Claude Code executes locally using YOUR tokens
How It Works Now
User → Commands.com → MCP Orchestrator → Workflow Instructions → Claude Code (local execution) → Success!Related MCP server: Claude Code Connector MCP
Key Benefits
🚀 No Rate Limits - Uses your Claude Code tokens, not the server's
⚡ Faster Execution - No network roundtrips for AI calls
🔍 Full Transparency - See exactly what's happening
🛡️ Better Privacy - Your data stays on your machine
📈 Infinitely Scalable - Server just returns instructions
Available Orchestration Tools
🎼 simple_design_orchestrate
Get a complete workflow for designing apps - returns instructions for Claude Code to execute locally.
Parameters:
task: The design task (create_app,update_design,add_component)input: Task-specific parameters
Example Response:
{
"workflowId": "create_app_1234567890",
"workflow": {
"name": "Create App Workflow",
"steps": [/* step-by-step instructions */]
},
"agents": {/* agent templates */},
"components": {/* component specs */},
"estimatedTokens": 4800
}🤖 simple_design_get_agent
Get specific agent templates for local execution.
Parameters:
agentName: Name of the agent (e.g., "DesignBrief", "UXFlow")action: Optional specific action
🧩 simple_design_get_component
Get component specifications for UI building.
Parameters:
componentName: Component to get specs forappType: Optional app type for context
How Commands Work
Creating an App
You type: /design-app "recipe sharing app"
What happens:
MCP orchestrator analyzes your request
Returns a workflow with:
Design Brief agent template
UX Flow generation instructions
UI component specifications
File structure guidelines
Claude Code executes each step locally
HTML/CSS files created on your machine
No rate limits!
Updating a Design
You type: /update-design "make the header blue"
What happens:
Orchestrator returns change analysis workflow
Claude Code analyzes the change locally
Updates files using your resources
Instant results, no server load
Architecture Overview
Core Components
WorkflowOrchestrator - Main orchestration engine
AgentTemplates - Lightweight agent instructions
ComponentSpecs - UI component specifications
WorkflowDefinitions - Complete workflow structures
Agent Templates
DesignBrief- Analyzes app requirementsUXFlow- Creates screen structureUIGenerator- Selects UI componentsFileCreator- Generates file structureChangeAnalyzer- Understands update requestsComponentIntegrator- Adds new components
Component Library
Navigation: navbar, sidebar
Layout: hero, grid, container
Content: cards, galleries, testimonials
Forms: search, inputs, buttons
Data: charts, stats, tables
App-specific: recipe cards, workout cards, etc.
Installation & Setup
Deploy to Railway (or your preferred platform)
Import to Commands.com
Use with Claude Code
No local installation needed - it's all orchestrated!
For Developers
Testing Locally
npm install
npm test # Run orchestrator testsExample Integration
// Get workflow from orchestrator
const workflow = await mcp.call('simple_design_orchestrate', {
task: 'create_app',
input: { description: 'fitness app' }
});
// Execute locally in Claude Code
for (const step of workflow.steps) {
await executeStep(step, workflow.agents[step.agent]);
}Migration from v2.0
See MIGRATION.md for upgrade instructions.
Support
Issues: GitHub Issues
Docs: See
/examplesfolderVersion: 3.0.0
Built with ❤️ to solve rate limiting and empower local execution!
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