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DeepLucid3D UCPF Server

DeepLucid3D UCPF Server

Public
MushroomFleet/DeepLucid3D-MCP

Implements the Unified Cognitive Processing Framework via Model Context Protocol to enable advanced cognitive state assessment, knowledge dimension mapping, recursive self-questioning, creative perspective generation, and complex problem decomposition for enhanced structured thinking and problem-solving.

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May 30, 2025
Updated Jun 4, 2025

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DeepLucid3D UCPF Server

A Model Context Protocol (MCP) server implementing the Unified Cognitive Processing Framework (UCPF) for advanced cognitive analysis, creative problem-solving, and structured thinking.

What is it?

The DeepLucid3D UCPF Server is an implementation of the Unified Cognitive Processing Framework as an MCP server. It combines recursive self-awareness with dimensional knowledge categorization to provide a powerful approach to problem-solving and creative thinking.

This server extends AI capabilities by providing structured cognitive tools that help:

  • Assess cognitive states
  • Map knowledge dimensions
  • Apply recursive self-questioning
  • Generate creative perspectives
  • Decompose and reintegrate complex problems

What it does

The UCPF Server enables advanced cognitive processing through several key features:

Core Capabilities

  1. Cognitive State Assessment: Identifies current cognitive states (Dark Inertia, Passion, or Approaching Lucidity) to improve self-awareness during problem-solving.

  2. Knowledge Dimension Mapping: Maps knowledge across three dimensions:

    • Awareness (Known vs. Unknown)
    • Content (Knowns vs. Unknowns)
    • Accessibility (Knowable vs. Unknowable)
  3. Recursive Self-Questioning: Challenges initial assumptions and identifies potential cognitive biases.

  4. Creative Perspective Generation: Produces novel viewpoints and metaphorical thinking to inspire new solutions.

  5. Problem Decomposition: Breaks complex problems into manageable components and reintegrates them with awareness of the whole system.

  6. Optional State Management: Maintains context between sessions for ongoing analysis.

Setup and Installation

Prerequisites

  • Node.js (v14 or higher)
  • npm (v6 or higher)
  • An environment compatible with the Model Context Protocol

Installation Steps

  1. Clone the repository

    git clone https://github.com/yourusername/DeepLucid3D-UCPF-Server.git cd DeepLucid3D-UCPF-Server
  2. Install dependencies

    npm install
  3. Build the project

    npm run build
  4. Configure MCP settings

    Add the server to your MCP settings file. For Claude/Cline, this is typically located at:

    • For Claude Desktop: ~/Library/Application Support/Claude/claude_desktop_config.json (macOS)
    • For VSCode Cline: ~/.config/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json (Linux)

    Add the following configuration:

    { "mcpServers": { "ucpf": { "command": "node", "args": ["path/to/DeepLucid3D-MCP/build/index.js"], "env": {}, "disabled": false, "autoApprove": [] } } }
  5. Restart your MCP-compatible application (Claude, VSCode with Cline, etc.)

How to Use

The server exposes three main tools and several resources that can be accessed through MCP:

Tools

  1. analyze_problem: Process a problem statement through the full UCPF framework

    
    ucpf
    analyze_problem
    
    {
      "problem": "Your problem statement here",
      "session_id": "optional-session-id",
      "enable_state": false,
      "detailed": false
    }
    
    
  2. creative_exploration: Generate novel perspectives and connections for a topic

    
    ucpf
    creative_exploration
    
    {
      "topic": "Your topic here",
      "constraints": ["Optional constraint 1", "Optional constraint 2"],
      "perspective_count": 3,
      "include_metaphors": true
    }
    
    
  3. manage_state: Control state management for UCPF processing

    
    ucpf
    manage_state
    
    {
      "action": "enable", // or "disable", "reset", "status"
      "session_id": "optional-specific-session-id"
    }
    
    

Resources

Access framework documentation:


ucpf
ucpf://framework/overview

Available resources:

  • ucpf://framework/overview: Overview of the UCPF framework
  • ucpf://framework/cognitive-states: Guide to cognitive states
  • ucpf://framework/knowledge-dimensions: Reference for knowledge dimensions
  • ucpf://session/{sessionId}/analysis: Analysis results for a specific session

Example Use Case: Using UCPF to Solve a Riddle

Let's solve the classic riddle: "What walks on four legs in the morning, two legs in the afternoon, and three legs in the evening?"

Step 1: Enable state management for session persistence


ucpf
manage_state

{
  "action": "enable"
}

Step 2: Analyze the riddle using the UCPF framework


ucpf
analyze_problem

{
  "problem": "What walks on four legs in the morning, two legs in the afternoon, and three legs in the evening?",
  "session_id": "sphinx-riddle",
  "enable_state": true
}

The analysis will provide:

  • Cognitive state assessment (likely identifying potential metaphorical thinking)
  • Knowledge mapping of what we know and don't know
  • Recursive questions to challenge initial assumptions (e.g., "Are we assuming literal legs?")
  • Structured perspectives on different interpretations

Step 3: Explore creative perspectives to find the solution


ucpf
creative_exploration

{
  "topic": "Walking with different numbers of legs at different times of day",
  "constraints": ["morning", "afternoon", "evening", "four", "two", "three"],
  "include_metaphors": true,
  "session_id": "sphinx-riddle"
}

This exploration might reveal:

  • The metaphorical interpretation of "legs" as support structures
  • The metaphorical interpretation of times of day as stages of life
  • Leading to the classic answer: a human, who crawls on four limbs as a baby, walks on two legs as an adult, and uses a cane (third "leg") in old age

Step 4: Review the session analysis


ucpf
ucpf://session/sphinx-riddle/analysis

This provides the complete analysis journey, showing how the framework led to the solution through structured cognitive processing.

Acknowledgments

This project stands on the shoulders of giants:

  • The Model Context Protocol (MCP) team for creating the foundational protocol that enables AI systems to access external tools and resources
  • The Anthropic Claude team for their work on advanced AI systems capable of utilizing MCP
  • Contributors to the Unified Cognitive Processing Framework concepts that power the cognitive analysis methodology
  • The open-source community whose libraries and tools make projects like this possible

License

MIT License

Project Structure

DeepLucid3D-UCPF-Server/
├── src/
│   ├── engine/
│   │   ├── ucpf-core.ts       # Core UCPF processing logic
│   │   ├── creative-patterns.ts  # Creative thinking utilities
│   │   └── state-manager.ts   # Session state management
│   ├── tools/
│   │   ├── analyze-problem.ts # Problem analysis tool
│   │   └── creative-exploration.ts  # Creative exploration tool
│   └── index.ts               # Main server implementation
├── build/                     # Compiled JavaScript files
├── package.json               # Project dependencies and scripts
└── README.md                  # This documentation

© 2025 DeepLucid3D UCPF Server

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