Deepseek MCP Server

🧠 MCP server implementing RAT (Retrieval Augmented Thinking) - combines DeepSeek's reasoning with GPT-4/Claude/Mistral responses, maintaining

Local serverstdioTypeScript

What is the Deepseek MCP server?

🧠 MCP server implementing RAT (Retrieval Augmented Thinking) - combines DeepSeek's reasoning with GPT-4/Claude/Mistral responses, maintaining conversation context between interactions. That is what the deepseek mcp server brings to an AI assistant: the same capability, reachable through the Model Context Protocol rather than a separate app or dashboard.

The short version

A Model Context Protocol (MCP) server that combines DeepSeek R1's reasoning capabilities with Claude 3.5 Sonnet's response generation through OpenRouter. This implementation uses a two-stage process where DeepSeek provides structured reasoning which is then incorporated into Claude's response generation.

  • Two-Stage Processing —
  • Uses DeepSeek R1 for initial reasoning (50k character context)
  • Uses Claude 3.5 Sonnet for final response (600k character context)
  • Both models accessed through OpenRouter's unified API
  • Injects DeepSeek's reasoning tokens into Claude's context
  • Smart Conversation Management —

The tools it exposes

The server publishes 2 tools. What each one is for:

  • generate_response — Main tool for generating responses with the following parameters:
  • check_response_status — The check_response_status tool exposed by this server

Getting it running

Installation goes through your MCP client rather than a global install: point it at @smithery/cli on npm and it is fetched when the client starts. The copy-paste blocks for Claude Desktop, Claude Code and Cursor are further down this page.

What it needs from you

Configuration is passed through the environment: OPENROUTER_API_KEY. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.

How it compares

Plenty of developer tooling servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Deepseek's toolset — generate_response, check_response_status — is a fair guide to whether it matches your workflow. It is maintained by newideas99; worth a glance at recent repository activity before you build anything load-bearing on it.

SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.

Things to watch

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • Missing credentials fail quietly in some clients — if no tools show up, check the environment block first.
  • Keep per-call confirmation enabled while you learn its behaviour; it is the cheapest safeguard you have.

Available tools

ToolWhat it does
generate_responseMain tool for generating responses with the following parameters:
check_response_statusThe check_response_status tool exposed by this server.

How to install the Deepseek MCP server

{
  "mcpServers": {
    "deepseek-claude": {
      "command": "/path/to/node",
      "args": ["/path/to/Deepseek-Thinking-Claude-3.5-Sonnet-CLINE-MCP/build/index.js"],
      "env": {
        "OPENROUTER_API_KEY": "your_key_here"
      },
      "disabled": false,
      "autoApprove": []
    }
  }
}

Configuration as documented by the project. Restart the client after saving.

Configuration

VariableDescriptionRequired
OPENROUTER_API_KEYCredential the server authenticates with.Yes

Example prompts to try

  • Use Deepseek to generate response.
  • Use Deepseek to check response status.

Frequently asked questions

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