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DeepLucid3D UCPF Server

DeepLucid3D UCPF Server

Local
github.com/MushroomFleetAI & Agents16Updated 29w ago

About DeepLucid3D UCPF Server

DeepLucid3D UCPF Server is an MCP server for structured problem analysis and creative exploration. It applies UCPF methods such as cognitive-state assessment, recursive questioning, and problem decomposition, with optional session state.

Key features

  1. 01Cognitive-state assessment
  2. 02Knowledge-dimension mapping
  3. 03Recursive assumption checks
  4. 04Creative perspective generation
  5. 05Problem decomposition and reintegration
  6. 06Optional session state

Use cases

  1. 01Analyze a complex problem step by step
  2. 02Explore alternative perspectives on a topic
  3. 03Track analysis across sessions

MCP support

It exposes three tools—analyze_problem, creative_exploration, and manage_state—and framework and session-analysis resources to MCP clients.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

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

    <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>
    
  2. 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>
    
  3. 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

© 2025 DeepLucid3D UCPF Server

See Also

Comments

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