Deepseek Thinking & Claude 3.5 Sonnet

Combines DeepSeek's reasoning capabilities with Claude 3.5 Sonnet's response generation through OpenRouter.

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.

- 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

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

- Model-specific context limits:

- DeepSeek: 50,000 characters for focused reasoning
- Claude: 600,000 characters for comprehensive responses

- temperature: 0.7 for balanced creativity
- top_p: 1.0 for full probability distribution
- repetition_penalty: 1.0 to prevent repetition

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

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

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

# 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

{ "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": [] } } }

The server provides two tools for generating and monitoring responses:

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 }

Tool for checking the status of a response generation task:

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

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

- generate_responsereturns immediately with a task ID
- Response format:{"taskId": "uuid-here"}

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

// 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 }

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

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

MIT License - See LICENSE file for details.

Based on the RAT (Retrieval Augmented Thinking) concept bySkirano, which enhances AI responses through structured reasoning and knowledge retrieval.

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