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

Name: Deepseek-Thinking-Claude-3.5-Sonnet-CLINE-MCP
Author: newideas99

@newideas99

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

🧠 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

基本信息

分类

AI 与智能体

许可证

MIT

运行时

node

传输方式

stdio

发布者

newideas99

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "Deepseek-Thinking-Claude-3.5-Sonnet-CLINE-MCP": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli",
        "install",
        "@newideas99/Deepseek-Thinking-Claude-3.5-Sonnet-CLINE-MCP",
        "--client",
        "claude"
      ]
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is 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's unified API. It uses a two-stage process where DeepSeek provides structured reasoning which is then incorporated into Claude's response generation. Designed for users of Cline (Claude Dev) who want enhanced reasoning for complex tasks.

How to use Deepseek-Thinking-Claude-3.5-Sonnet-CLINE-MCP?

Install via Smithery or manually, clone the repository, install dependencies, and set your OpenRouter API key in a .env file. Build the server and add it to your Cline MCP settings. Two tools are available: generate_response (sends a prompt with optional reasoning display) and check_response_status (polls for task completion, which may take up to 60 seconds).

Key features of Deepseek-Thinking-Claude-3.5-Sonnet-CLINE-MCP

Two-stage processing: DeepSeek R1 reasoning then Claude 3.5 Sonnet response.
Smart conversation management: detects active conversations and handles multiple.
Model-specific context limits (50k for DeepSeek, 600k for Claude).
Polling mechanism for long-running requests (up to 60 seconds).
Configurable environment variables for model selection.

Use cases of Deepseek-Thinking-Claude-3.5-Sonnet-CLINE-MCP

Enhancing AI responses with structured reasoning for complex questions.
Coding tasks requiring deep analysis followed by clear explanations.
Multi-turn conversations with context retention and reasoning visibility.
Problem-solving where reasoning steps should be inspectable.

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

What is the two-stage processing?

DeepSeek R1 first generates reasoning tokens, then Claude 3.5 Sonnet uses those as context to produce the final response.

Do I need an OpenRouter API key?

Yes, both models are accessed through OpenRouter's unified API. Set OPENROUTER_API_KEY in your .env file.

What are the context limits?

DeepSeek uses 50,000 characters for focused reasoning; Claude uses 600,000 characters for comprehensive responses.

How do I check the status of a response?

Use the check_response_status tool with the taskId returned by generate_response. Poll until the status is "complete".

Can I see the reasoning process?

Yes, set showReasoning to true in generate_response to include DeepSeek's reasoning in the output.

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