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HarshJ23MCP SERVER

DeepSeek-Claude MCP Server

Hand a hard reasoning problem to DeepSeek R1 and let your assistant build on the reasoning it returns.

by HarshJ23 ↗Model Routing, Multi-Model Consultation & Cost ControlCommunity

LABSCO SUMMARY

A second opinion from a different model, inside the same conversation.

The shape is simple — your assistant recognises a query that needs deeper reasoning, sends it out, and gets back the working rather than a verdict, which keeps the final answer in the model you were already talking to. It needs a paid DeepSeek key and a local clone, so it is a deliberate addition rather than something to leave running by default.

What it is

A small Python MCP server that forwards a query to DeepSeek's R1 reasoning model and returns the structured reasoning, so the assistant you are already talking to can fold it into its own answer.

What you get

  • A reasoning step delegated to DeepSeek R1 without leaving the conversation
  • Structured reasoning returned to the client, rather than a finished answer that replaces yours
  • Support for multi-step problems, where the reasoning is worth seeing separately from the response

Requirements

Python 3.12 or higher, the uv package manager, and a DeepSeek API key from the DeepSeek platform. Clone the repository, create the environment, paste your key into server.py, and point your client at the server script.

Setup effort

Build from source — git clone https://github.com/HarshJ23/deepseek-claude-MCP-server.git