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

Related MCP server: Conclave MCP

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