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:

  • Uses DeepSeek R1 for initial reasoning (50k character context)
  • Uses Claude 3.5 Sonnet for final response (600k character context)
  • Both models accessed through OpenRouter's unified API
  • Injects DeepSeek's reasoning tokens into Claude's context

• Smart Conversation Management:

  • Detects active conversations using file modification times
  • Handles multiple concurrent conversations
  • Filters out ended conversations automatically
  • Supports context clearing when needed

• Optimized Parameters:

  • Model-specific context limits:
    • DeepSeek: 50,000 characters for focused reasoning
    • Claude: 600,000 characters for comprehensive responses
  • Recommended settings:
    • temperature: 0.7 for balanced creativity
    • top_p: 1.0 for full probability distribution
    • repetition_penalty: 1.0 to prevent repetition

Development

For development with auto-rebuild:

npm run watch

How It Works

1. Reasoning Stage (DeepSeek R1):

   • Uses OpenRouter's reasoning tokens feature
   • Prompt is modified to output 'done' while capturing reasoning
   • Reasoning is extracted from response metadata

2. Response Stage (Claude 3.5 Sonnet):

   • Receives the original prompt and DeepSeek's reasoning
   • Generates final response incorporating the reasoning
   • Maintains conversation context and history

Installation

Installing via Smithery

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

npx -y @smithery/cli install @newideas99/Deepseek-Thinking-Claude-3.5-Sonnet-CLINE-MCP --client claude

Manual Installation

1. Clone the repository:

git clone https://github.com/yourusername/Deepseek-Thinking-Claude-3.5-Sonnet-CLINE-MCP.git
cd Deepseek-Thinking-Claude-3.5-Sonnet-CLINE-MCP

2. Install dependencies:

npm install

3. Create a .env file with your OpenRouter API key:

# Required: OpenRouter API key for both DeepSeek and Claude models
OPENROUTER_API_KEY=your_openrouter_api_key_here

# Optional: Model configuration (defaults shown below)
DEEPSEEK_MODEL=deepseek/deepseek-r1  # DeepSeek model for reasoning
CLAUDE_MODEL=anthropic/claude-3.5-sonnet:beta  # Claude model for responses

4. Build the server:

npm run build

Usage with Cline

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

{
  "mcpServers": {
    "deepseek-claude": {
      "command": "/path/to/node",
      "args": ["/path/to/Deepseek-Thinking-Claude-3.5-Sonnet-CLINE-MCP/build/index.js"],
      "env": {
        "OPENROUTER_API_KEY": "your_key_here"
      },
      "disabled": false,
      "autoApprove": []
    }
  }
}

Tool Usage

The server provides two tools for generating and monitoring responses:

generate_response

Main tool for generating responses with the following parameters:

{
  "prompt": string,           // Required: The question or prompt
  "showReasoning"?: boolean, // Optional: Show DeepSeek's reasoning process
  "clearContext"?: boolean,  // Optional: Clear conversation history
  "includeHistory"?: boolean // Optional: Include Cline conversation history
}

check_response_status

Tool for checking the status of a response generation task:

{
  "taskId": string  // Required: The task ID from generate_response
}

Response Polling

The server uses a polling mechanism to handle long-running requests:

1. Initial Request:

   • generate_response returns immediately with a task ID
   • Response format: {"taskId": "uuid-here"}

2. Status Checking:

   • Use check_response_status to poll the task status
   • Note: Responses can take up to 60 seconds to complete
   • Status progresses through: pending → reasoning → responding → complete

Example usage in Cline:

// Initial request
const result = await use_mcp_tool({
  server_name: "deepseek-claude",
  tool_name: "generate_response",
  arguments: {
    prompt: "What is quantum computing?",
    showReasoning: true
  }
});

// Get taskId from result
const taskId = JSON.parse(result.content[0].text).taskId;

// Poll for status (may need multiple checks over ~60 seconds)
const status = await use_mcp_tool({
  server_name: "deepseek-claude",
  tool_name: "check_response_status",
  arguments: { taskId }
});

// Example status response when complete:
{
  "status": "complete",
  "reasoning": "...",  // If showReasoning was true
  "response": "..."    // The final response
}

License

MIT License - See LICENSE file for details.