DeepSeek

v0.3.1Coding Agentsstable

Allows seamless integration of DeepSeek's language models with MCP-compatible applications like Claude Desktop, supporting features such as model selection, temperature control, and multi-turn conversations with automatic model fallback.

deepseek-apideepseek-chatdeepseek-r1deepseek-v3mcp
Share:
333
Stars
0
Downloads
0
Weekly
0/5

What is DeepSeek?

DeepSeek is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to allows seamless integration of deepseek's language models with mcp-compatible applications like claude desktop, supporting features such as model selection, temperature control, and multi-turn convers...

Allows seamless integration of DeepSeek's language models with MCP-compatible applications like Claude Desktop, supporting features such as model selection, temperature control, and multi-turn conversations with automatic model fallback.

This server falls under the Coding Agents category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • Allows seamless integration of DeepSeek's language models wi

Use Cases

Integrate DeepSeek language models
Multi-turn conversations with model selection
DMontgomery40

Maintainer

LicenseMIT License
Languagetypescript
Versionv0.3.1
UpdatedMay 21, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

NPM

npx -y deepseek-mcp-server

Manual Installation

npx -y deepseek-mcp-server

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

How to Set Up and Use DeepSeek

The DeepSeek MCP Server bridges DeepSeek's powerful language models — including deepseek-v3, deepseek-r1, and the latest deepseek-v4-flash — with any MCP-compatible client such as Claude Desktop. It supports multi-turn in-memory conversations, thinking modes with configurable reasoning effort, JSON output, FIM (fill-in-the-middle) completion, and live model enumeration, making it a practical way to run DeepSeek inference alongside other AI tools in the same workflow. Developers use it to compare DeepSeek responses alongside Claude, to off-load reasoning-heavy tasks to R1, or to take advantage of DeepSeek's lower cost-per-token for bulk processing tasks.

Prerequisites

  • Node.js 18+ installed (for npx invocation) or Docker for containerised use
  • A DeepSeek API key — obtain one at https://platform.deepseek.com/api_keys
  • An MCP-compatible client such as Claude Desktop or Cursor
  • npm/npx available in PATH (ships with Node.js)
1

Obtain a DeepSeek API key

Sign up or log in at https://platform.deepseek.com, navigate to API Keys, and create a new key. Copy it — you will need it as the DEEPSEEK_API_KEY environment variable.

2

Verify Node.js is installed

The server ships as an npm package and is launched via npx. Confirm Node.js 18 or later is present.

node --version
3

Add the server to your MCP client configuration

Open your Claude Desktop config file (~/Library/Application Support/Claude/claude_desktop_config.json on macOS) and add the deepseek entry. Replace the placeholder with your real API key.

{
  "mcpServers": {
    "deepseek": {
      "command": "npx",
      "args": ["-y", "deepseek-mcp-server"],
      "env": {
        "DEEPSEEK_API_KEY": "YOUR_DEEPSEEK_API_KEY"
      }
    }
  }
}
4

Optionally tune the default model and timeout

Set optional environment variables to change which model is used by default and how long requests are allowed to run. DEEPSEEK_DEFAULT_MODEL accepts any model id returned by list_models. DEEPSEEK_REQUEST_TIMEOUT_MS defaults to 120000 (2 minutes).

{
  "mcpServers": {
    "deepseek": {
      "command": "npx",
      "args": ["-y", "deepseek-mcp-server"],
      "env": {
        "DEEPSEEK_API_KEY": "YOUR_DEEPSEEK_API_KEY",
        "DEEPSEEK_DEFAULT_MODEL": "deepseek-r1",
        "DEEPSEEK_REQUEST_TIMEOUT_MS": "180000"
      }
    }
  }
}
5

Restart Claude Desktop and confirm the server is active

Quit and reopen Claude Desktop. In the MCP panel (or by sending a test prompt) confirm the deepseek server appears and responds. The server exposes tools: chat completion, FIM completion, list_models, get_balance, reset_conversation, and list_conversations.

DeepSeek Examples

Client configuration

Minimal claude_desktop_config.json entry to run deepseek-mcp-server via npx with a required API key.

{
  "mcpServers": {
    "deepseek": {
      "command": "npx",
      "args": ["-y", "deepseek-mcp-server"],
      "env": {
        "DEEPSEEK_API_KEY": "sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx",
        "DEEPSEEK_DEFAULT_MODEL": "deepseek-v3"
      }
    }
  }
}

Prompts to try

Example prompts to use with DeepSeek MCP Server once it is connected.

- "Use DeepSeek to list all available models and show me their names."
- "Ask DeepSeek R1 to solve this logic puzzle step by step: three people each have a different pet..."
- "What is my current DeepSeek account balance and credit status?"
- "Complete this Python function using DeepSeek FIM: def calculate_fibonacci(n): <FILL>"
- "Start a multi-turn conversation with DeepSeek: first explain what transformers are, then ask a follow-up about attention mechanisms."

Troubleshooting DeepSeek

Error: DEEPSEEK_API_KEY is not set or is invalid

Ensure the env block in your MCP config contains the correct key value. Double-check by running: DEEPSEEK_API_KEY=sk-xxx npx -y deepseek-mcp-server in a terminal and watching for startup messages.

Requests time out on long reasoning tasks with deepseek-r1

Increase DEEPSEEK_REQUEST_TIMEOUT_MS to 300000 (5 minutes) or more in the env block. R1 chain-of-thought responses can take significantly longer than standard chat completions.

Model not found error when specifying DEEPSEEK_DEFAULT_MODEL

Call the list_models tool first to see currently available model ids. Model names can change with new releases — use the exact string returned by the API, not guessed names.

Frequently Asked Questions about DeepSeek

What is DeepSeek?

DeepSeek is a Model Context Protocol (MCP) server that allows seamless integration of deepseek's language models with mcp-compatible applications like claude desktop, supporting features such as model selection, temperature control, and multi-turn conversations with automatic model fallback. It connects AI assistants to external tools and data sources through a standardized interface.

How do I install DeepSeek?

Install via npm with the command: npx -y deepseek-mcp-server. Then add the server configuration to your AI client's JSON config file (e.g., claude_desktop_config.json or .cursor/mcp.json).

Which AI clients work with DeepSeek?

DeepSeek works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is DeepSeek free to use?

Yes, DeepSeek is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.

Browse More Coding Agents MCP Servers

Explore all coding agents servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

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

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

Ready to use DeepSeek?

Browse our complete directory of 33,000+ MCP servers, read setup guides for your editor, and start building with the Model Context Protocol.

33,000+ ServersFree & Open SourceStep-by-Step Guides