DeepSeek MCP Server

DeepSeek MCP Server provides seamless integration between DeepSeek's powerful language models and MCP-compatible applications like Claude Desktop. The server enables anonymous API access to DeepSeek's models, with your requests appearing only as coming from a proxy on the DeepSeek side. This implementation offers intelligent handling of natural language configuration requests, automatic model fallback mechanisms, and robust multi-turn conversation support. With DeepSeek MCP Server, you can leverage both the general-purpose capabilities of DeepSeek Chat and the more technical reasoning abilities of DeepSeek Reasoner through a unified interface.

Overview

DeepSeek MCP Server allows you to use DeepSeek's advanced language models through the Model Context Protocol, making them accessible in applications like Claude Desktop. The server provides anonymous access to the DeepSeek API, with only a proxy visible on the DeepSeek side.

Installation Options

Option 1: Install via Smithery (Recommended)

The easiest way to install DeepSeek MCP Server for Claude Desktop is through Smithery:

npx -y @smithery/cli install @dmontgomery40/deepseek-mcp-server --client claude

Option 2: Install Globally via NPM

You can also install the server globally using npm:

npm install -g deepseek-mcp-server

Configuration

To use DeepSeek MCP Server with Claude Desktop, add the following to your claude_desktop_config.json file:

{
  "mcpServers": {
    "deepseek": {
      "command": "npx",
      "args": [
        "-y",
        "deepseek-mcp-server"
      ],
      "env": {
        "DEEPSEEK_API_KEY": "your-api-key"
      }
    }
  }
}

Replace your-api-key with your actual DeepSeek API key.

Key Features

Available Models

The server provides access to multiple DeepSeek models:

deepseek-chat: General-purpose model (v3), recommended for most use cases
deepseek-reasoner: More technical model (R1), better for complex queries but slower and uses more tokens

Natural Language Configuration

You can control the server's behavior through natural language requests:

Ask "What models are available?" to see all available models
Ask "What configuration options do I have?" to view configuration options
Query current settings with questions like "What is the current temperature setting?"
Configure settings with requests like "Start a multi-turn conversation with deepseek-chat, make it not too creative, and allow 8000 tokens"

Automatic Model Fallback

If the primary model (deepseek-reasoner) is unavailable, the server automatically falls back to deepseek-chat. You can switch between models at any time by including "use deepseek-reasoner" or "use deepseek-chat" in your prompt.

Configurable Parameters

Model selection: Choose between available DeepSeek models
Temperature: Control creativity (0.0-2.0)
Max tokens: Set the maximum response length
Top P sampling: Adjust response diversity (0.0-1.0)
Presence penalty: Control repetition avoidance (-2.0-2.0)
Frequency penalty: Manage token frequency penalties (-2.0-2.0)

Multi-turn Conversation Support

The server maintains complete message history and context across exchanges, preserving configuration settings throughout the conversation. This is particularly valuable for:

Training & Fine-tuning: Provides properly formatted conversation data for training custom models
Complex Problem-Solving: Maintains context for multi-step reasoning tasks

Troubleshooting

If you encounter issues:

Verify your DeepSeek API key is correct
Check your internet connection
Ensure you're using compatible versions of Claude Desktop and the DeepSeek MCP Server
Try restarting both Claude Desktop and the server

For persistent problems, check the GitHub repository for known issues or to report new ones.