RAT MCP Server (Retrieval Augmented Thinking)

@newideas99

Basic information

About RAT MCP Server

🧠 MCP server implementing RAT (Retrieval Augmented Thinking) - combines DeepSeek's reasoning with GPT-4/Claude/Mistral responses, maintaining conversation context between interactions.

#mathgpt #math-solver #math-assistant

RAT MCP Server config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

RAT MCP Server tools

Tool list not available yet

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Overview

What is RAT MCP Server?

A Model Context Protocol (MCP) server that implements RAT’s two-stage reasoning process, combining DeepSeek’s reasoning capabilities with various response models.

How to use RAT MCP Server?

Clone the repository, install dependencies with npm install, create a .env file with API keys and model configuration, then build the server with npm run build. Add it to Cline’s MCP settings with the generate_response tool.

Key features of RAT MCP Server

Two-stage processing: DeepSeek reasoning then response generation.
Supports Claude 3.5 Sonnet, DeepSeek Reasoner, and OpenRouter models.
Maintains conversation history with configurable context size.
Single tool generate_response with optional reasoning display.
Context clearing via clearContext parameter.

Use cases of RAT MCP Server

Use DeepSeek reasoning followed by a high‑quality Claude response.
Keep conversation context across multiple interactions.
Debug by inspecting the reasoning process with showReasoning.
Reset the conversation for a new topic using clearContext.

Frequently asked questions

What API keys do I need?

You need a DeepSeek API key and an OpenRouter API key. An Anthropic API key is optional if you use Claude models.

How do I clear the conversation context?

Set `clearContext: true` in the `generate_response` tool arguments.

Can I see the reasoning process?

Yes, set `showReasoning: true` in the tool call to display DeepSeek’s reasoning.

What models can be used for final response?

Claude 3.5 Sonnet (via Anthropic) or any model available on OpenRouter, such as GPT-4 or Gemini.

Is there a context size limit?

Yes, the server supports a configurable context size limit (adjustable via settings).

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