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Popmelt MCP Server: Secure & Scale Mission-Critical Operations - MCP Implementation

Popmelt MCP Server: Secure & Scale Mission-Critical Operations

Mirror, scale, and secure your operations with Popmelt MCP Server—built for mission-critical reliability and effortless expansion.

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89% of users reported increased productivity after just one week

About Popmelt MCP Server

What is Popmelt MCP Server: Secure & Scale Mission-Critical Operations?

Popmelt MCP Server is a specialized middleware solution designed to manage and scale mission-critical design systems through standardized resource orchestration. It provides secure API interfaces for accessing pre-configured talent profiles, generating component styles, and analyzing design compatibility. The server acts as a centralized hub for design assets, enabling real-time collaboration while maintaining strict access controls and operational reliability.

Key Features of Popmelt MCP Server: Secure & Scale Mission-Critical Operations?

  • Resource Management: Organizes design assets via standardized URIs for talent profiles, component styles, and metadata queries
  • Style Generation Tools: Generates CSS/SCSS for components with state variations and custom overrides
  • Compatibility Analysis: Quantifies visual harmony between design systems through style comparison APIs
  • Real-Time Capabilities: SSE endpoints for live updates and asynchronous design operations
  • Security Framework: Role-based access controls and encrypted communication protocols

Popmelt MCP Server Features

How to use Popmelt MCP Server: Secure & Scale Mission-Critical Operations?

Implementation follows three core steps:

  1. Configure server instance with TLS certificates and authentication middleware
  2. Deploy talent profiles using the standardized JSON schema format
  3. Integrate client SDKs to access APIs for:
    • Dynamic style generation during runtime
    • Automated design audits via compatibility checks
    • Version-controlled asset management

Use Cases of Popmelt MCP Server

  • Enterprise design systems with multi-team collaboration
  • Dynamic theme switching in SaaS platforms
  • Automated brand compliance checks for marketing assets
  • Real-time style previews in CMS interfaces
  • Legacy system migration with visual consistency guarantees

Popmelt MCP Server FAQ

FAQ: Popmelt MCP Server

What deployment options are available?
Kubernetes-native deployment with Helm charts or lightweight Docker containers
How is security enforced?
JWT token authentication, IP whitelisting, and role-based access controls
Can it integrate with existing CI/CD pipelines?
Yes - provides RESTful endpoints for automated testing and asset validation
What styling frameworks are supported?
CSS-in-JS, SCSS, and vanilla CSS output formats with framework-agnostic metadata

Content

Popmelt MCP Server

An MCP (Model Context Protocol) server for Popmelt, providing access to Talent AI and Taste Profiles for dynamic UI component styling.

Overview

The Popmelt MCP Server leverages the Model Context Protocol to expose Talent AI profiles and styling capabilities to LLMs and other applications. It connects directly to Popmelt's PostgreSQL database to access and serve detailed Talent profiles, including structured metadata and weighted styling attributes.

Features

  • Talent AI Profile Access : Retrieve complete Talent profiles with their unique aesthetic characteristics and design attributes
  • CSS Styling Generation : Generate CSS styling rules directly from stored metadata
  • Dynamic UI Component Styling : Easily integrate Talent-driven design choices into your UI components
  • Database Integration : Direct connection to PostgreSQL database where Talent profiles are stored
  • Multiple Transport Options : Run the server using stdio for command-line tools or HTTP with SSE for remote servers

Project Structure

popmelt-mcp-server/
├── src/                         # Source code
│   ├── db/                      # Database access layer
│   │   └── index.ts             # Database connection and query functions
│   ├── utils/                   # Utility modules
│   │   └── css-generator.ts     # CSS generation utilities
│   ├── mcp-server.ts            # MCP server core implementation
│   ├── server.ts                # Stdio transport server
│   └── http-server.ts           # HTTP/SSE transport server
├── scripts/                     # Helper scripts
│   ├── setup-db.sql             # SQL for setting up the database
│   └── setup-db.js              # Script to run the SQL setup
├── examples/                    # Example client usage
│   └── generate-css.js          # Example script to generate CSS
├── dist/                        # Compiled TypeScript output
├── package.json                 # Project configuration
└── tsconfig.json                # TypeScript configuration

Database Schema

The Popmelt MCP Server uses a PostgreSQL database with the following schema:

CREATE TABLE talents (
  id VARCHAR(50) PRIMARY KEY,
  name VARCHAR(100) NOT NULL,
  description TEXT,
  created_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
  updated_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
  metadata JSONB NOT NULL
);

Where the metadata JSON field has the following structure:

{
  "aesthetic_characteristics": {
    "style": "minimalist",
    "mood": "calm",
    "complexity": 2,
    "minimalism": 9,
    "boldness": 3,
    "playfulness": 2,
    "elegance": 8
  },
  "design_attributes": {
    "whitespace_balance": 9,
    "color_harmony": 7,
    "visual_rhythm": 6,
    "layout_density": 2,
    "texture_use": 1,
    "border_use": 2,
    "shadow_use": 3
  },
  "color_palette": {
    "primary": "#2D3748",
    "secondary": "#4A5568",
    "accent": "#38B2AC",
    "background": "#FFFFFF",
    "text": "#1A202C"
  },
  "typography": {
    "headingFont": "Inter, sans-serif",
    "bodyFont": "Inter, sans-serif",
    "scale": 1.2,
    "weight": "light",
    "letterSpacing": 0.02,
    "lineHeight": 1.5
  }
}

Getting Started

Prerequisites

  • Node.js 18 or higher
  • PostgreSQL database

Installation

  1. Clone this repository

  2. Install dependencies:

    npm install

  3. Copy the example environment file and update with your database details:

    cp .env.example .env

  4. Set up the database:

    node scripts/setup-db.js

  5. Build the TypeScript code:

    npm run build

Running the Server

Two server modes are available:

  1. Standard stdio mode (for command-line tools and direct integration):
npm start
  1. HTTP server with SSE support (for remote access and web integration):
npm run start:http

The HTTP server provides:

  • An SSE endpoint at /sse for receiving real-time updates
  • A POST endpoint at /messages for sending commands
  • A health check endpoint at /health

API Reference

Resources

The server exposes the following MCP resources:

Resource URI Description
talent://list List all available talent profiles
talent://{id} Get a specific talent profile by ID
talent-attribute://{id}/{attribute} Get a specific attribute of a talent (supports dot notation for nested properties)
component-style://{talent_id}/{component_name} Get CSS for a specific component using a talent profile

Tools

The server provides the following MCP tools:

Tool Name Description Arguments
generate-css Generate CSS for a component based on a talent profile talentId, component, state (optional), customProperties (optional)
generate-component-library Generate CSS for a complete component library talentId
query-talents Perform a read-only query on talent metadata filters
analyze-style-compatibility Analyze compatibility between different talent styles talentId1, talentId2

Prompts

The server offers the following MCP prompts:

Prompt Name Description Arguments
style-component LLM prompt for styling a component talentId, component, requirements (optional)
create-talent-description LLM prompt for creating a descriptive summary of a talent talentId
recommend-talent LLM prompt for recommending talents based on requirements projectType, brandPersonality, targetAudience, aestheticPreferences (optional)

Example Usage

Using the MCP Client

import { Client } from '@modelcontextprotocol/sdk/client/index.js';
import { StdioClientTransport } from '@modelcontextprotocol/sdk/client/stdio.js';

// Create transport
const transport = new StdioClientTransport({
  command: 'node',
  args: ['dist/server.js']
});

// Create client
const client = new Client(
  { name: 'example-client', version: '1.0.0' },
  { capabilities: { resources: {}, tools: {} } }
);

// Connect to server
await client.connect(transport);

// List all talents
const talents = await client.listResources('talent://');

// Get a specific talent
const talent = await client.readResource('talent://modern-minimalist');

// Generate CSS for a button
const css = await client.callTool({
  name: 'generate-css',
  arguments: {
    talentId: 'modern-minimalist',
    component: 'button',
    state: 'hover'
  }
});

// Analyze compatibility between two talents
const compatibility = await client.callTool({
  name: 'analyze-style-compatibility',
  arguments: {
    talentId1: 'modern-minimalist',
    talentId2: 'bold-vibrant'
  }
});

Running the Example Script

node examples/generate-css.js

This example script demonstrates how to use the MCP client to generate CSS for all available talents and analyze compatibility between two talents.

Development

Building the Project

npm run build

Running in Development Mode

npm run dev

License

MIT

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