DeepLucid3D UCPF Server
@MushroomFleet
About DeepLucid3D UCPF Server
Unified Cognitive Processing Framework - MCP server for Cline and more
Basic information
Config
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Overview
What is DeepLucid3D UCPF Server?
The DeepLucid3D UCPF Server is a Model Context Protocol (MCP) implementation of the Unified Cognitive Processing Framework (UCPF). It provides structured cognitive tools for recursive self-awareness, dimensional knowledge categorization, creative problem-solving, and advanced cognitive analysis, enabling AI systems to assess cognitive states, map knowledge dimensions, and decompose complex problems.
How to use DeepLucid3D UCPF Server?
Clone the repository, run npm install and npm run build, then configure the server in your MCP settings file (e.g., Claude Desktop or VS Code Cline). Use the three main toolsβanalyze_problem, creative_exploration, and manage_stateβvia MCP-compatible applications, and access framework resources through URIs like ucpf://framework/overview.
Key features of DeepLucid3D UCPF Server
- Cognitive State Assessment (Dark Inertia, Passion, Approaching Lucidity)
- Knowledge Dimension Mapping across Awareness, Content, Accessibility
- Recursive Self-Questioning for bias detection
- Creative Perspective Generation with metaphorical thinking
- Problem Decomposition and reintegration
- Optional State Management for session persistence
Use cases of DeepLucid3D UCPF Server
- Analyzing complex problems with structured cognitive frameworks
- Generating novel perspectives and creative solutions for a topic
- Mapping knowledge boundaries and identifying unknown areas
- Decomposing riddles or ambiguous questions into solvable parts
- Maintaining ongoing analysis context across multiple sessions
FAQ from DeepLucid3D UCPF Server
What are the prerequisites for running the server?
Node.js v14 or higher, npm v6 or higher, and an environment compatible with the Model Context Protocol.
How do I configure the server in my MCP settings?
Add a ucpf entry to the mcpServers object in your MCP settings file (e.g., claude_desktop_config.json) with
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