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
Clone the repository:
Install dependencies:
Create a .env file with your OpenRouter API key:
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:
Initial Request:
Status Checking:
Example usage in Cline:
Development
For development with auto-rebuild:
How It Works
Reasoning Stage (DeepSeek R1):
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.
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
Clone the repository:
Install dependencies:
Create a .env file with your OpenRouter API key:
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:
Initial Request:
Status Checking:
Example usage in Cline:
Development
For development with auto-rebuild:
How It Works
Reasoning Stage (DeepSeek R1):
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.