Simple Design MCP Orchestrator

Simple Design MCP Orchestrator

Orchestrates app design workflows for Claude Code local execution, enabling creation, updating, and component addition without rate limits.

Category
Visit Server

README

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!

Key Benefits

  1. 🚀 No Rate Limits - Uses your Claude Code tokens, not the server's
  2. ⚡ Faster Execution - No network roundtrips for AI calls
  3. 🔍 Full Transparency - See exactly what's happening
  4. 🛡️ Better Privacy - Your data stays on your machine
  5. 📈 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 for
  • appType: Optional app type for context

How Commands Work

Creating an App

You type: /design-app "recipe sharing app"

What happens:

  1. MCP orchestrator analyzes your request
  2. Returns a workflow with:
    • Design Brief agent template
    • UX Flow generation instructions
    • UI component specifications
    • File structure guidelines
  3. Claude Code executes each step locally
  4. HTML/CSS files created on your machine
  5. No rate limits!

Updating a Design

You type: /update-design "make the header blue"

What happens:

  1. Orchestrator returns change analysis workflow
  2. Claude Code analyzes the change locally
  3. Updates files using your resources
  4. Instant results, no server load

Architecture Overview

Core Components

  1. WorkflowOrchestrator - Main orchestration engine
  2. AgentTemplates - Lightweight agent instructions
  3. ComponentSpecs - UI component specifications
  4. WorkflowDefinitions - Complete workflow structures

Agent Templates

  • DesignBrief - Analyzes app requirements
  • UXFlow - Creates screen structure
  • UIGenerator - Selects UI components
  • FileCreator - Generates file structure
  • ChangeAnalyzer - Understands update requests
  • ComponentIntegrator - 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

  1. Deploy to Railway (or your preferred platform)
  2. Import to Commands.com
  3. Use with Claude Code

No local installation needed - it's all orchestrated!

For Developers

Testing Locally

npm install
npm test  # Run orchestrator tests

Example 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 /examples folder
  • Version: 3.0.0

Built with ❤️ to solve rate limiting and empower local execution!

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured