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.
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.
- 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
Python 3.12 or higher, the uv package manager, and a DeepSeek API key from the DeepSeek platform. Clone the repository, create the environment, and point your client at the server script; a Smithery one-liner installs it for Claude Desktop instead.
One command plus a key — npx -y @smithery/cli install @HarshJ23/deepseek-claude-MCP-server --client claude, then supply credentials