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Retrieval-Augmented Thinking MCP Server

by stat-guy
GitHub
JavaScript
MIT License
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remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

Integrations

  • Enables iterative hypothesis generation and validation cycles through structured thought processes, supporting creation, testing, and refinement of hypotheses with verification checkpoints.

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

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

Enhances AI model capabilities with structured, retrieval-augmented thinking processes that enable dynamic thought chains, parallel exploration paths, and recursive refinement cycles for improved reasoning.

  1. Features
    1. Installation
      1. Usage
        1. Command Line
          1. Programmatic Usage
          2. Tool Configuration
            1. Advanced Features
              1. Thought Chain Analytics
                1. Pattern Recognition
                2. Development
                  1. Contributing
                    1. License

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