DeepSeek MCP Server

What does “DeepSeek” MCP Server do?

The DeepSeek MCP Server is a Model Context Protocol (MCP) server designed to bridge DeepSeek’s advanced language models with MCP-compatible applications such as Claude Desktop. By acting as a proxy, it enables AI assistants to interact with the DeepSeek API while maintaining user anonymity—only the proxy is visible to the API. This integration facilitates enhanced workflows for developers by allowing seamless access to DeepSeek’s powerful natural language capabilities. Through the MCP server, applications and AI agents can leverage DeepSeek models for tasks like language understanding, text generation, and API-driven automation, all within a standardized, secure, and extendable protocol framework.

List of Prompts

No prompt templates were mentioned in the repository or its documentation.

List of Resources

No explicit MCP resources were described in the repository or its documentation.

List of Tools

No tool definitions (e.g., query_database, read_write_file, call_api) were found in the available files or README.

Use Cases of this MCP Server

• Anonymous Model Access
  Use DeepSeek’s large language models in any MCP-compatible client without exposing your API key or user identity. The server acts as a secure proxy layer.
• Integration with Claude Desktop
  Connect DeepSeek models to Claude Desktop or similar tools, leveraging their interface and workflow enhancements with DeepSeek’s capabilities.
• Centralized API Management
  Manage access and usage of DeepSeek’s API centrally through the MCP server, simplifying deployment and usage tracking.
• Workflow Automation
  Enable AI agents to automate text processing, summarization, or content generation workflows via standardized MCP interactions.
• Developer Testing and Prototyping
  Rapidly prototype and test AI-powered features using DeepSeek models in local or cloud environments, reducing setup complexity.

How to set it up

Windsurf

1. Ensure Node.js is installed on your system.
2. Locate your Windsurf configuration file (usually windsurf.config.json).
3. Add the DeepSeek MCP Server package:

   "mcpServers": {
     "deepseek-mcp": {
       "command": "npx",
       "args": ["deepseek-mcp-server", "start"]
     }
   }
   

4. Save the configuration file.
5. Restart Windsurf and verify the DeepSeek MCP Server is running.

Claude

1. Ensure Node.js is installed.
2. Open the Claude configuration file.
3. Add the DeepSeek MCP Server:

   "mcpServers": {
     "deepseek-mcp": {
       "command": "npx",
       "args": ["deepseek-mcp-server", "start"]
     }
   }
   

4. Save and restart Claude.
5. Confirm the server connection is active.

Cursor

1. Install Node.js if not already present.
2. Open cursor.config.json.
3. Add DeepSeek MCP Server configuration:

   "mcpServers": {
     "deepseek-mcp": {
       "command": "npx",
       "args": ["deepseek-mcp-server", "start"]
     }
   }
   

4. Save the file and restart Cursor.
5. Check for the MCP server in the tool list.

Cline

1. Make sure Node.js is set up.
2. Edit the cline.config.json file.
3. Insert the following:

   "mcpServers": {
     "deepseek-mcp": {
       "command": "npx",
       "args": ["deepseek-mcp-server", "start"]
     }
   }
   

4. Save and restart Cline.
5. Verify DeepSeek MCP Server is available.

Securing API Keys

Use environment variables for sensitive configuration (like API keys). Example:

"mcpServers": {
  "deepseek-mcp": {
    "command": "npx",
    "args": ["deepseek-mcp-server", "start"],
    "env": {
      "DEEPSEEK_API_KEY": "${DEEPSEEK_API_KEY}"
    },
    "inputs": {
      "api_key": "${DEEPSEEK_API_KEY}"
    }
  }
}

How to use this MCP inside flows

Using MCP in FlowHunt

To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:

Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:

{
  "deepseek-mcp": {
    "transport": "streamable_http",
    "url": "https://yourmcpserver.example/pathtothemcp/url"
  }
}

Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change “deepseek-mcp” to whatever the actual name of your MCP server is and replace the URL with your own MCP server URL.

Overview

Roots support: Not mentioned

Sampling support: Not mentioned

Based on the above, the DeepSeek MCP Server is primarily a proxy adapter for the DeepSeek API, providing good documentation for setup and secure key management but lacking explicit examples of prompts, resources, or tools. It is best suited for users who want easy, anonymous access to DeepSeek models in MCP-compatible environments.

Our opinion

This MCP server is well-documented for setup and security but lacks detailed examples of advanced MCP primitives (like prompts, resources, tools). Its main value is enabling easy access to DeepSeek models. The project appears active and is well-received by the community.

MCP Score