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

HTTP connection URL

security – no known vulnerabilities

license - permissive license

quality - confirmed to work

How are these scores calculated?

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.

Related Resources

Reddit Discussion about this server

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