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Retrieval-Augmented Thinking MCP Server

by stat-guy

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

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

Usage

Command Line

mcp-server-retrieval-augmented-thinking

Programmatic Usage

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

# Build npm run build # Watch mode npm run watch

Contributing

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

License

MIT

Deploy Server
A
security – no known vulnerabilities
A
license - permissive license
A
quality - confirmed to work

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