Retrieval Augmented Thinking

# Retrieval-Augmented Thinking MCP Server

An MCP (Model Context Protocol) server implementation that enhances AI model capabilities with structured, retrieval-augmented thinking processes. This server enables dynamic thought chains, parallel exploration paths, and recursive refinement cycles for improved reasoning and problem-solving.

Features

• **Adaptive Thought Chains**: Maintains coherent reasoning flows with branching and revision capabilities
• **Iterative Hypothesis Generation**: Implements validation cycles for hypothesis testing
• **Context Coherence**: Preserves context across non-linear reasoning paths
• **Dynamic Scope Adjustment**: Supports flexible exploration and refinement
• **Quality Assessment**: Real-time evaluation of thought processes
• **Branch Management**: Handles parallel exploration paths
• **Revision Tracking**: Manages recursive refinement cycles

Installation

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

Usage

Command Line

```bash mcp-server-retrieval-augmented-thinking ```

Programmatic Usage

```typescript 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 transport const transport = new StdioServerTransport(); await server.connect(transport); ```

Tool Configuration

The server provides a tool with the following parameters:

• `thought` (string): Current reasoning step
• `thoughtNumber` (number): Position in reasoning chain
• `totalThoughts` (number): Estimated scope
• `nextThoughtNeeded` (boolean): Chain continuation signal
• `isRevision` (boolean, optional): Marks refinement steps
• `revisesThought` (number, optional): References target thought
• `branchFromThought` (number, optional): Branch origin point
• `branchId` (string, optional): Branch identifier
• `needsMoreThoughts` (boolean, optional): Scope expansion signal

Advanced Features

Thought Chain Analytics

The server tracks various metrics for thought chain quality:

• Chain effectiveness
• Revision impact
• Branch success rate
• Overall quality
• Individual thought metrics (complexity, depth, quality, impact)

Pattern Recognition

Analyzes thought patterns for:

• Reasoning structures
• Context preservation
• Hypothesis validation
• Solution coherence

Development

```bash

Build

npm run build

Watch mode

npm run watch ```

Contributing

Contributions welcome! Please read our contributing guidelines and submit pull requests.

License

MIT