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

@newideas99

Repository

About 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

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "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"
      ]
    }
  }
}

Tools

No tools detected

Fetch the live tool list by running this server in a temporary sandbox using the button above.

Overview

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.

Frequently asked questions

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.

Comments

Basic information

Category

AI & Agents

License

MIT

Transports

stdio

Author

newideas99

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