📌Overview

Purpose: The DeepSeek MCP Server aims to facilitate seamless integration of DeepSeek's language models with applications supporting the Model Context Protocol (MCP), ensuring user anonymity through proxy usage.

Overview: The DeepSeek MCP Server acts as a bridge between DeepSeek's advanced language models and various MCP-compatible applications, such as Claude Desktop. It simplifies user interactions through natural language requests while maintaining robust performance and configuration management.

Key Features:

Automatic Model Fallback: If the primary model deepseek-reasoner is unavailable, the server automatically switches to a backup model, deepseek-chat, optimizing for speed and usage across different scenarios.
Multi-turn Conversation Support: This feature enables the server to maintain complete message history and context throughout conversational exchanges, crucial for complex discussions and training dialogue models.
Resource Discovery: Users can easily query available models, configuration settings, and customize options like temperature, token limits, and penalties to enhance their interaction experience.

DeepSeek MCP Server

A Model Context Protocol (MCP) server for the DeepSeek API, enabling integration of DeepSeek's language models with MCP-compatible applications like Claude Desktop.

Key Features

Supports natural language requests for querying available models, configuration options, and current settings.
Automatic model fallback if the primary model (deepseek-reasoner) is down — switches to deepseek-chat automatically.
Custom model selection and tuning options:
- Temperature control (0.0 - 2.0)
- Max tokens limit
- Top P sampling (0.0 - 1.0)
- Presence penalty (-2.0 - 2.0)
- Frequency penalty (-2.0 - 2.0)
Multi-turn conversation support:
- Maintains message history and context
- Preserves configuration throughout the conversation
- Handles complex dialogue flows automatically

Use Cases for Multi-turn Conversations

Training & Fine-tuning:
Provides formatted conversation data essential for training dialogue models.
Complex Interactions:
Supports longer conversations involving:
- Multi-step reasoning
- Interactive troubleshooting
- Detailed technical discussions
- Scenarios requiring context from earlier messages

Installation

Installing via Smithery

To install DeepSeek MCP Server for Claude Desktop automatically via Smithery:

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

Manual Installation

npm install -g deepseek-mcp-server

Usage with Claude Desktop

Add the following to your claude_desktop_config.json:

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

Testing with MCP Inspector

To test the server locally:

Build the server:
```
npm run build
```

Run the server with MCP Inspector:

npx @modelcontextprotocol/inspector node ./build/index.js

The inspector opens in your browser and connects to the server via stdio transport. It allows you to:

View available tools
Test chat completions with different parameters
Debug server responses
Monitor server performance

License

MIT