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MCP server · AI

Cognition Wheel

A Model Context Protocol (MCP) server that implements a "wisdom of crowds" approach to AI reasoning by consulting multiple state-of-the-art language models in parallel and synthesizing their responses.

Unclaimed last commit a year ago ai
59Fair

Scored 3 months ago · breakdown

About Cognition Wheel

Cognition Wheel is an MCP server published by Hormold in the AI category: a Model Context Protocol (MCP) server that implements a "wisdom of crowds" approach to AI reasoning by consulting multiple state-of-the-art language models in parallel and synthesizing their responses. It has been installed 0 times through Conduid.

The repository has 196 stars and 11 forks, with the last commit a year ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues (0) before depending on it in production.

Install

Install
npx cognition-wheel

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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README

Cognition Wheel MCP Server

A Model Context Protocol (MCP) server that implements a "wisdom of crowds" approach to AI reasoning by consulting multiple state-of-the-art language models in parallel and synthesizing their responses.

Quick Start

Option 1: Use with npx (Recommended)

# Run directly with npx (no installation needed)
npx mcp-cognition-wheel

# Or install globally
npm install -g mcp-cognition-wheel
mcp-cognition-wheel

Option 2: Build from source

  1. Clone the repository
  2. Install dependencies: pnpm install
  3. Copy .env.example to .env and add your API keys
  4. Build the project: pnpm run build

How It Works

The Cognition Wheel follows a three-phase process:

  1. Parallel Consultation: Simultaneously queries three different AI models:

    • Claude-4-Opus (Anthropic)
    • Gemini-2.5-Pro (Google)
    • O3 (OpenAI)
  2. Anonymous Analysis: Uses code names (Alpha, Beta, Gamma) to eliminate bias during the synthesis phase

  3. Smart Synthesis: Randomly selects one of the models to act as a synthesizer, which analyzes all responses and produces a final, comprehensive answer

Features

  • Parallel Processing: All models are queried simultaneously for faster results
  • Bias Reduction: Anonymous code names prevent synthesizer bias toward specific models
  • Internet Search: Optional web search capabilities for all models
  • Detailed Logging: Comprehensive debug logs for transparency and troubleshooting
  • Robust Error Handling: Graceful degradation when individual models fail

Installation

Option 1: Use with npx (Recommended)

# Run directly with npx (no installation needed)
npx mcp-cognition-wheel

# Or install globally
npm install -g mcp-cognition-wheel
mcp-cognition-wheel

Option 2: Build from source

  1. Clone the repository
  2. Install dependencies: pnpm install
  3. Copy .env.example to .env and add your API keys
  4. Build the project: pnpm run build

Usage

This is an MCP server designed to be used with MCP-compatible clients like Claude Desktop or other MCP tools.

Required Environment Variables

  • ANTHROPIC_API_KEY: Your Anthropic API key
  • GOOGLE_GENERATIVE_AI_API_KEY: Your Google AI API key
  • OPENAI_API_KEY: Your OpenAI API key

Using with Cursor

Based on the guide from this dev.to article, here's how to integrate with Cursor:

Option 1: Using npx (Recommended)

  1. Open Cursor Settings:

    • Go to Settings → MCP
    • Click "Add new MCP server"
  2. Configure the server:

    • Name: cognition-wheel
    • Command: npx
    • Args: ["-y", "mcp-cognition-wheel"]

    Example configuration:

    {
      "cognition-wheel": {
        "command": "npx",
        "args": ["-y", "mcp-cognition-wheel"],
        "env": {
          "ANTHROPIC_API_KEY": "your_anthropic_key",
          "GOOGLE_GENERATIVE_AI_API_KEY": "your_google_key", 
          "OPENAI_API_KEY": "your_openai_key"
        }
      }
    }
    

Option 2: Using local build

  1. Build the project (if not already done):

    pnpm run build
    
  2. Configure the server:

    • Name: cognition-wheel
    • Command: node
    • Args: ["/absolute/path/to/your/cognition-wheel/dist/app.js"]

    Example configuration:

    {
      "cognition-wheel": {
        "command": "node",
        "args": [
          "/Users/yourname/path/to/cognition-wheel/dist/app.js"
        ],
        "env": {
          "ANTHROPIC_API_KEY": "your_anthropic_key",
          "GOOGLE_GENERATIVE_AI_API_KEY": "your_google_key", 
          "OPENAI_API_KEY": "your_openai_key"
        }
      }
    }
    
  3. Test the integration:

    • Enter Agent mode in Cursor
    • Ask a complex question that would benefit from multiple AI perspectives
    • The cognition_wheel tool should be automatically triggered

Tool Usage

The server provides a single tool called cognition_wheel with the following parameters:

  • context: Background information and context for the problem
  • question: The specific question you want answered
  • enable_internet_search: Boolean flag to enable web search capabilities

Development

  • pnpm run dev: Watch mode for development
  • pnpm run build: Build the TypeScript code
  • pnpm run start: Run the server directly with tsx

Docker

Build and run with Docker:

# Build the image
docker build -t cognition-wheel .

# Run with environment variables
docker run --rm \
  -e ANTHROPIC_API_KEY=your_key \
  -e GOOGLE_GENERATIVE_AI_API_KEY=your_key \
  -e OPENAI_API_KEY=your_key \
  cognition-wheel

License

MIT

README mirrored from the source repository 3 months ago. The original is authoritative.

Questions

About Cognition Wheel

How do I install Cognition Wheel?

Run npx cognition-wheel, then add the server to your MCP client's configuration. Conduid has recorded 0 installs, so the command is known to work with current clients.

Is Cognition Wheel safe to use with an AI agent?

Its trust score is 59 out of 100 (fair). It passes 0 of 1 static security checks; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Cognition Wheel still maintained?

The last commit was a year ago, with 0 open issues. That's long enough that you should check whether the maintainer is responding to issues before depending on it.