DeepLucid3D UCPF Server logo

DeepLucid3D UCPF Server

by MushroomFleet

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

View on GitHub

Last updated: N/A

What is DeepLucid3D UCPF Server?

The DeepLucid3D UCPF Server is an implementation of the Unified Cognitive Processing Framework as an MCP server. It extends AI capabilities by providing structured cognitive tools that help assess cognitive states, map knowledge dimensions, apply recursive self-questioning, generate creative perspectives, and decompose and reintegrate complex problems.

How to use DeepLucid3D UCPF Server?

The server is accessed through the Model Context Protocol (MCP). First, install the server and configure it in your MCP settings. Then, use the provided tools (analyze_problem, creative_exploration, manage_state) and resources (ucpf://framework/*) via MCP requests to perform cognitive analysis, generate creative perspectives, and manage session state.

Key features of DeepLucid3D UCPF Server

  • Cognitive State Assessment

  • Knowledge Dimension Mapping

  • Recursive Self-Questioning

  • Creative Perspective Generation

  • Problem Decomposition

  • Optional State Management

Use cases of DeepLucid3D UCPF Server

  • Advanced cognitive analysis

  • Creative problem-solving

  • Structured thinking

  • Solving riddles and complex problems

  • Generating novel perspectives

FAQ from DeepLucid3D UCPF Server

What is the Model Context Protocol (MCP)?

MCP is a protocol that enables AI systems to access external tools and resources.

What are the core cognitive states assessed by the server?

The server identifies cognitive states such as Dark Inertia, Passion, and Approaching Lucidity.

How does the server map knowledge dimensions?

The server maps knowledge across three dimensions: Awareness (Known vs. Unknown), Content (Knowns vs. Unknowns), and Accessibility (Knowable vs. Unknowable).

What kind of problems can be solved using this server?

The server can be used to solve a wide range of complex problems that require structured thinking, creative perspective generation, and cognitive analysis.

What are the prerequisites for installing the server?

The prerequisites are Node.js (v14 or higher), npm (v6 or higher), and an environment compatible with the Model Context Protocol.