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

Cognitive State Assessment: Identifies current cognitive states (Dark Inertia, Passion, or Approaching Lucidity) to improve self-awareness during problem-solving.
Knowledge Dimension Mapping: Maps knowledge across three dimensions:
Awareness (Known vs. Unknown)
Content (Knowns vs. Unknowns)
Accessibility (Knowable vs. Unknowable)
Recursive Self-Questioning: Challenges initial assumptions and identifies potential cognitive biases.
Creative Perspective Generation: Produces novel viewpoints and metaphorical thinking to inspire new solutions.
Problem Decomposition: Breaks complex problems into manageable components and reintegrates them with awareness of the whole system.
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

Clone the repository bash git clone https://github.com/yourusername/DeepLucid3D-UCPF-Server.git cd DeepLucid3D-UCPF-Server
Install dependencies bash npm install
Build the project bash npm run build
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: json { "mcpServers": { "ucpf": { "command": "node", "args": ["path/to/DeepLucid3D-MCP/build/index.js"], "env": {}, "disabled": false, "autoApprove": [] } } }

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

analyze_problem: Process a problem statement through the full UCPF framework <use_mcp_tool> <server_name>ucpf</server_name> <tool_name>analyze_problem</tool_name> <arguments> { "problem": "Your problem statement here", "session_id": "optional-session-id", "enable_state": false, "detailed": false } </arguments> </use_mcp_tool>
creative_exploration: Generate novel perspectives and connections for a topic <use_mcp_tool> <server_name>ucpf</server_name> <tool_name>creative_exploration</tool_name> <arguments> { "topic": "Your topic here", "constraints": ["Optional constraint 1", "Optional constraint 2"], "perspective_count": 3, "include_metaphors": true } </arguments> </use_mcp_tool>
manage_state: Control state management for UCPF processing <use_mcp_tool> <server_name>ucpf</server_name> <tool_name>manage_state</tool_name> <arguments> { "action": "enable", // or "disable", "reset", "status" "session_id": "optional-specific-session-id" } </arguments> </use_mcp_tool>

Resources

Access framework documentation:

<access_mcp_resource>
<server_name>ucpf</server_name>
<uri>ucpf://framework/overview</uri>
</access_mcp_resource>

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

<use_mcp_tool>
<server_name>ucpf</server_name>
<tool_name>manage_state</tool_name>
<arguments>
{
  "action": "enable"
}
</arguments>
</use_mcp_tool>

Step 2: Analyze the riddle using the UCPF framework

<use_mcp_tool>
<server_name>ucpf</server_name>
<tool_name>analyze_problem</tool_name>
<arguments>
{
  "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
}
</arguments>
</use_mcp_tool>

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

<use_mcp_tool>
<server_name>ucpf</server_name>
<tool_name>creative_exploration</tool_name>
<arguments>
{
  "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"
}
</arguments>
</use_mcp_tool>

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

<access_mcp_resource>
<server_name>ucpf</server_name>
<uri>ucpf://session/sphinx-riddle/analysis</uri>
</access_mcp_resource>

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