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Deepseek Thinking Claude 3.5 Sonnet CLINE MCP Server

@newideas99

リポジトリ

基本情報

カテゴリ

AI とエージェント

ライセンス

MIT

トランスポート

stdio

作者

newideas99

Deepseek Thinking Claude 3.5 Sonnet CLINE MCP Server について

🧠 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

Deepseek Thinking Claude 3.5 Sonnet CLINE MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "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"
      ]
    }
  }
}

Deepseek Thinking Claude 3.5 Sonnet CLINE MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。

概要

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.

よくある質問

1

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.

2

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.

3

What are the context limits?

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

4

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".

5

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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