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

Install Server

HTTP connection URL

security – no known vulnerabilities

license - permissive license

quality - confirmed to work

How are these scores calculated?

Tools

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

Related MCP Servers

RAT MCP Server
newideas99
A
security
A
license
A
quality
Facilitates two-stage reasoning processes using DeepSeek for detailed analysis and supports multiple response models such as Claude 3.5 Sonnet and OpenRouter, maintaining conversation context and enhancing AI-driven interactions.
Last updated -
2
107
JavaScript
MIT License
Deep Research MCP Server
Ozamatash
-
security
A
license
-
quality
Enables iterative deep research by integrating AI agents with search engines, web scraping, and large language models for efficient data gathering and comprehensive reporting.
Last updated -
9
243
TypeScript
MIT License
MCP Think Tank
flight505
A
security
A
license
A
quality
Provides AI assistants with enhanced reasoning capabilities through structured thinking, persistent knowledge graph memory, and intelligent tool orchestration for complex problem-solving.
Last updated -
20
412
27
TypeScript
MIT License
Clear Thought Server
ThinkFar
A
security
F
license
A
quality
Provide systematic thinking, mental models, and debugging approaches to enhance problem-solving capabilities. Enable structured reasoning and decision-making support for complex problems. Facilitate integration with MCP-compatible clients for advanced cognitive workflows.
Last updated -
11
1
JavaScript

View all related MCP servers

Retrieval-Augmented Thinking MCP Server