🔮 PRISM64 — 64 Shades of Personality Intelligence

📸 Visual Showcase & Portfolio Gallery

🌟 Interactive Web Application & Visual Engineering

Related MCP server: MBTI MCP Server

📖 Overview

PRISM64 is an enterprise-grade, psychologically grounded personality intelligence engine that expands beyond traditional 4-letter Myers-Briggs (MBTI) archetypes into a rich 6-Dimensional, 64-Shade Matrix (16 Core Archetypes × 4 Sub-Variants: AH, AC, OH, OC).

Built on top of empirical HEXACO Psychological Research, PRISM64 offers:

• ⚡ Dual Assessment Modes: 1.5-min Quick (18 Questions) & 3.0-min Deep (36 Questions)

• 🎨 Ultra-Luxury 9:16 Story Card Studio: Instant export for Instagram & TikTok Stories (Light Pearl & Midnight Dark)

• 🗺️ Live Geo Telemetry & Stealth Admin Dashboard: Real-time visitor map with dark-mode Leaflet.js

• 🤖 Gemini Spark Model Context Protocol (MCP) Server: Full JSON-RPC 2.0 AI agent integration

🏛️ Psychological Architecture (HEXACO × MBTI)

PRISM64 evaluates human behavior across 6 independent bipolar spectrums:

🚀 Quickstart & Local Development

Prerequisites

• Python 3.9+ (No third-party packages required — uses standard library)

• Web Browser (Chrome, Safari, Firefox, Edge)

Run Locally

# 1. Clone the repository
git clone https://github.com/Gubbitkeytoday/prism64.git
cd prism64

# 2. Start the multi-threaded HTTP & MCP server
python server_mcp.py 8000

# 3. Open in browser
open http://localhost:8000

☁️ 1-Click Deployment to Render.com (24/7 Online)

PRISM64 is pre-configured for zero-friction deployment on Render.com:

1. Push your repository to GitHub.

2. Log in to Render.com and click "New + > Web Service".

3. Select your prism64 repository.

4. Settings:

   • Environment: Python 3

   • Start Command: python server_mcp.py

   • Instance Type: Free

5. Click "Deploy Web Service" — your live site will be ready at https://prism64.onrender.com!

🤖 Gemini Spark MCP (Model Context Protocol)

PRISM64 implements the official Model Context Protocol (MCP) specification over JSON-RPC 2.0. AI agents (such as Google Gemini, Claude, Cursor) can query personality archetypes directly:

Available MCP Tools:

• get_64_personality_profile: Retrieve comprehensive profiles, strengths, growth points, and careers.

• search_personality_types: Filter archetypes by keyword, spectrum, or sub-variant.

• calculate_hexaco_prism_scores: Calculate archetype scores dynamically from raw dimensions.

• analyze_compatibility: Generate psychological compatibility analysis between two types.

• list_all_64_archetypes: Catalog retrieval organized by spectra.

JSON-RPC 2.0 Endpoint:

POST /mcp
Content-Type: application/json

{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_64_personality_profile",
    "arguments": { "typeCode": "INTJ-AH", "lang": "th" }
  }
}

🔒 Stealth Admin Portal & Telemetry

PRISM64 includes a hidden administrative dashboard for tracking live traffic, submissions, and geo-coordinates:

• Secret Hash Route: #prism-admin-gate

• Master Admin PIN: 646464

• Secret Keyboard Shortcut: Ctrl + Shift + A (or Cmd + Shift + A)

📁 Repository Structure

prism64/
├── assets/
│   ├── css/
│   │   └── style.css            # Cyberpunk midnight & light glass design system
│   ├── js/
│   │   ├── data-core.js        # 64 archetypes, HEXACO questions & scores
│   │   ├── i18n.js             # Thai / English internationalization
│   │   ├── main.js             # Reactive router, test engine & canvas studio
│   │   └── admin.js            # Stealth admin dashboard & Leaflet live map
│   └── img/
│       ├── characters/         # 16 3D rendered character models
│       └── careers/            # 25+ 3D isometric clay diorama visuals
├── portfolio_showcase/          # High-resolution portfolio showcase gallery & video
│   ├── 01_Landing_Hero_Showcase.png
│   ├── 02_HEXACO_Assessment_Test.png
│   ├── 03_Personality_Result_ESTJ_AH.png
│   ├── 04_Story_Card_Studio_Modal.png
│   ├── 05_Live_GeoMap_Admin_Dashboard.png
│   └── 06_PRISM64_Motion_Hero_Showcase.mp4
├── data/
│   ├── submissions.json        # Persistent assessment telemetry store
│   └── visitors.json           # Live visitor session cache
├── Dockerfile                  # Production container definition
├── docker-compose.yml          # Container orchestration
├── render.yaml                 # 1-Click Render blueprint config
├── Procfile                    # Process execution file
├── server_mcp.py               # Multi-threaded HTTP & JSON-RPC MCP server
├── LICENSE                     # MIT License
└── README.md                   # Project documentation & visual showcase

📄 License

This project is open-source and available under the MIT License.