MushroomFleet DeepLucid3D MCP

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

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

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

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.

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

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.)

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

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>
   

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

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?"

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

<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

<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

<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.

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

MIT License

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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