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RAT (Retrieval Augmented Thinking)

Combines DeepSeek's analysis with multiple response models to enhance AI conversation quality through structured two-sta...

Created byApr 22, 2025

Deepseek-Thinking-Claude-3.5-Sonnet-CLINE-MCP

A Model Context Protocol (MCP) server that combines DeepSeek R1's reasoning capabilities with Claude 3.5 Sonnet's response generation through OpenRouter. This implementation uses a two-stage process where DeepSeek provides structured reasoning which is then incorporated into Claude's response generation.

Features

  • Two-Stage Processing:
  • Smart Conversation Management:
  • Optimized Parameters:

Installation

Installing via Smithery

To install DeepSeek Thinking with Claude 3.5 Sonnet for Claude Desktop automatically via Smithery:

Manual Installation

  1. Clone the repository:
  1. Install dependencies:
  1. Create a .env file with your OpenRouter API key:
  1. Build the server:

Usage with Cline

Add to your Cline MCP settings (usually in ~/.vscode/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json):

Tool Usage

The server provides two tools for generating and monitoring responses:

generate_response

Main tool for generating responses with the following parameters:

check_response_status

Tool for checking the status of a response generation task:

Response Polling

The server uses a polling mechanism to handle long-running requests:
  1. Initial Request:
  1. Status Checking:
Example usage in Cline:

Development

For development with auto-rebuild:

How It Works

  1. Reasoning Stage (DeepSeek R1):
  1. Response Stage (Claude 3.5 Sonnet):

License

MIT License - See LICENSE file for details.

Credits

Based on the RAT (Retrieval Augmented Thinking) concept by Skirano, which enhances AI responses through structured reasoning and knowledge retrieval.
This implementation specifically combines DeepSeek R1's reasoning capabilities with Claude 3.5 Sonnet's response generation through OpenRouter's unified API.

Deepseek-Thinking-Claude-3.5-Sonnet-CLINE-MCP

A Model Context Protocol (MCP) server that combines DeepSeek R1's reasoning capabilities with Claude 3.5 Sonnet's response generation through OpenRouter. This implementation uses a two-stage process where DeepSeek provides structured reasoning which is then incorporated into Claude's response generation.

Features

  • Two-Stage Processing:
  • Smart Conversation Management:
  • Optimized Parameters:

Installation

Installing via Smithery

To install DeepSeek Thinking with Claude 3.5 Sonnet for Claude Desktop automatically via Smithery:

Manual Installation

  1. Clone the repository:
  1. Install dependencies:
  1. Create a .env file with your OpenRouter API key:
  1. Build the server:

Usage with Cline

Add to your Cline MCP settings (usually in ~/.vscode/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json):

Tool Usage

The server provides two tools for generating and monitoring responses:

generate_response

Main tool for generating responses with the following parameters:

check_response_status

Tool for checking the status of a response generation task:

Response Polling

The server uses a polling mechanism to handle long-running requests:
  1. Initial Request:
  1. Status Checking:
Example usage in Cline:

Development

For development with auto-rebuild:

How It Works

  1. Reasoning Stage (DeepSeek R1):
  1. Response Stage (Claude 3.5 Sonnet):

License

MIT License - See LICENSE file for details.

Credits

Based on the RAT (Retrieval Augmented Thinking) concept by Skirano, which enhances AI responses through structured reasoning and knowledge retrieval.
This implementation specifically combines DeepSeek R1's reasoning capabilities with Claude 3.5 Sonnet's response generation through OpenRouter's unified API.