Retrieval Augmented Thinking

🚀 Enhanced Retrieval-Augmented Thinking MCP Server

A server implementing the Model Context Protocol (MCP) that enhances the capabilities of AI models through a structured, retrieval-augmented thinking process. This server supports dynamic thought chains, parallel exploration paths, and recursive refinement cycles to improve reasoning and problem-solving abilities.

✨ Features

• Adaptive Thought Chains: Maintain a coherent reasoning flow with support for branching and revision capabilities.
• Iterative Hypothesis Generation: Implement hypothesis verification cycles.
• Context Consistency: Preserve context in non-linear reasoning paths.
• Dynamic Scope Adjustment: Support flexible exploration and refinement.
• Quality Assessment: Evaluate the thinking process in real-time.
• Branch Management: Handle parallel exploration paths.
• Revision Tracking: Manage recursive refinement cycles.

📦 Installation

npm install @modelcontextprotocol/server-retrieval-augmented-thinking

💻 Usage Examples

Basic Usage

Command Line

mcp-server-retrieval-augmented-thinking

Programming

import { Server } from '@modelcontextprotocol/sdk/server';
import { StdioServerTransport } from '@modelcontextprotocol/sdk/server/stdio';

// Initialize and run the server
const server = new Server({
  name: 'retrieval-augmented-thinking',
  version: '0.1.0'
});

// Connect the transport
const transport = new StdioServerTransport();
await server.connect(transport);

Advanced Usage

Tool Configuration

The server provides a tool with the following parameters:

Thought Chain Analysis

The server tracks various metrics for thought chain quality:

• Chain validity
• Impact of revisions
• Branch success rate
• Overall quality
• Metrics for individual thoughts (complexity, depth, quality, impact)

Pattern Recognition

Analyze thinking patterns to identify:

• Reasoning structures
• Context preservation
• Hypothesis verification
• Solution consistency

🚧 Development

# Build
npm run build

# Watch mode
npm run watch

🤝 Contribution

Contributions are welcome! Please read our contribution guidelines and submit a pull request.

📄 License

MIT