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DeepLucid3D UCPF Server

Source

Unified Cognitive Processing Framework - MCP server for Cline and more

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Overview

The DeepLucid3D UCPF Server is an implementation of the Unified Cognitive Processing Framework (UCPF) designed for advanced cognitive analysis, creative problem-solving, and structured thinking.

To use the server, clone the repository, install dependencies, configure the Model Context Protocol (MCP) settings, and access its tools through MCP commands.

  • Cognitive state assessment to improve self-awareness during problem-solving. - Knowledge dimension mapping across awareness, content, and accessibility. - Recursive self-questioning to challenge assumptions. - Creative perspective generation for novel solutions. - Problem decomposition for managing complex issues. - Optional state management for session persistence.
  1. Analyzing complex problems using structured cognitive tools.
  2. Generating creative solutions for innovative projects.
  3. Enhancing self-awareness in cognitive processes.

Add to your AI client

Use these steps to connect DeepLucid3D UCPF Server in Cursor, Claude, VS Code, and other MCP-compatible apps. The same JSON appears in the Use with menu above for one-click copy.

Cursor

Add this to your .cursor/mcp.json file in your project root, then restart Cursor.

.cursor/mcp.json

{
  "mcpServers": {
    "deeplucid3d-mcp-mushroomfleet": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-deeplucid3d-mcp-mushroomfleet"
      ]
    }
  }
}

Claude Desktop

Add this server entry to the mcpServers object in your Claude Desktop config, then restart the app.

~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)

{
  "mcpServers": {
    "deeplucid3d-mcp-mushroomfleet": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-deeplucid3d-mcp-mushroomfleet"
      ]
    }
  }
}

Claude Code

Add this to your project's .mcp.json file. Claude Code will detect it automatically.

.mcp.json (project root)

{
  "mcpServers": {
    "deeplucid3d-mcp-mushroomfleet": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-deeplucid3d-mcp-mushroomfleet"
      ]
    }
  }
}

VS Code (Copilot)

Add this to your .vscode/mcp.json file. Requires the GitHub Copilot extension with MCP support enabled.

.vscode/mcp.json

{
  "servers": {
    "deeplucid3d-mcp-mushroomfleet": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-deeplucid3d-mcp-mushroomfleet"
      ]
    }
  }
}

Windsurf

Add this to your Windsurf MCP config file, then restart Windsurf.

~/.codeium/windsurf/mcp_config.json

{
  "mcpServers": {
    "deeplucid3d-mcp-mushroomfleet": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-deeplucid3d-mcp-mushroomfleet"
      ]
    }
  }
}

Cline

Open Cline settings, navigate to MCP Servers, and add this server configuration.

Cline MCP Settings (via UI)

{
  "mcpServers": {
    "deeplucid3d-mcp-mushroomfleet": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-deeplucid3d-mcp-mushroomfleet"
      ]
    }
  }
}

FAQ

Can the UCPF Server handle all types of problems?

Yes! It is designed to assist with a wide range of cognitive tasks and problem-solving scenarios.

Is there a cost to use the UCPF Server?

No! The UCPF Server is open-source and free to use.

What are the prerequisites for installation?

You need Node.js (v14 or higher) and npm (v6 or higher) to run the server.7:["$","div",null,{"className":"container mx-auto flex flex-col gap-4","children":["$L26","$L27",["$","$L28",null,{"currentProject":{"id":2668,"uuid":"015ba4cd-0fa8-4eb2-a47a-2d9f99e744b5","name":"DeepLucid3D-MCP","title":"DeepLucid3D UCPF Server","description":"Unified Cognitive Processing Framework - MCP server for Cline and more","avatar_url":"https://avatars.githubusercontent.com/u/7318371?v=4","created_at":"2025-03-13T09:28:40.161Z","updated_at":"2025-03-13T09:39:30.998Z","status":"created","author_name":"MushroomFleet","author_avatar_url":"https://avatars.githubusercontent.com/u/7318371?v=4","tags":"mathgpt,math-solver,math-assistant","category":"research-and-data","is_featured":false,"sort":1,"url":"https://github.com/MushroomFleet/DeepLucid3D-MCP","target":"_self","content":"$29","summary":"$2a","img_url":null,"type":null,"metadata":"{\"star\":\"0\",\"license\":\"\",\"language\":\"TypeScript\",\"is_official\":false,\"latest_commit_time\":\"2025-03-10 00:14:22\"}","user_uuid":null,"tools":null,"sse_url":null,"sse_provider":null,"sse_params":null,"is_official":false,"server_command":null,"server_params":null,"server_config":null,"allow_call":false,"is_innovation":false,"is_dxt":false,"dxt_manifest":null,"dxt_file_url":null,"is_audit":false},"randomProjects":[],"currentServerKey":"$undefined"}]]}]

Research and data