DeepseekMCP MCP Server

A production-grade MCP server integrating with DeepSeek's API, featuring advanced code review capabilities, efficient file management, and API

Local serverstdioPython

What is the DeepseekMCP MCP server?

If you want an AI assistant working directly with DeepseekMCP, the deepseekmcp mcp server is the bridge. A production-grade MCP server integrating with DeepSeek's API, featuring advanced code review capabilities, efficient file management, and API account management.

What DeepseekMCP does

A production-grade MCP server integrating with DeepSeek's API, featuring advanced code review capabilities, efficient file management, and API account management.

Key capabilities

  • Multi-Model Support — Choose from various DeepSeek models including DeepSeek Chat and DeepSeek Coder
  • Code Review Focus — Built-in system prompt for detailed code analysis with markdown output
  • Automatic File Handling — Built-in file management with direct path integration
  • API Account Management — Check balance and estimate token usage
  • JSON Mode Support — Request structured JSON responses for easy parsing
  • Advanced Error Handling — Graceful degradation with structured error logging
  • Improved Retry Logic — Automatic retries with configurable exponential backoff for API calls
  • Security — Configurable file type restrictions and size limits

Tools it exposes

Once connected, the assistant can call these 4 tools directly:

  • deepseek_ask — Used for code analysis, review, and general queries with optional file path inclusion
  • deepseek_models — Lists all available DeepSeek models with their capabilities
  • deepseek_balance — Checks your DeepSeek API account balance and availability status
  • deepseek_token_estimate — Estimates the token count for text or a file to help with quota management

Installing the deepseekmcp mcp server

Setup follows the standard MCP pattern: clone or install the server, then register it in your client's configuration file and restart the client. The configuration snippets on this page cover Claude Desktop, Claude Code and Cursor.

Configuration

Before the server will start you need to supply 3 environment variables: DEEPSEEK_API_KEY, DEEPSEEK_MODEL, YOUR_API_KEY. Keep credentials in your client's env block or a secrets manager rather than committing them.

Requirements

  • Go 1.21+ - DeepSeek API key - Basic understanding of MCP protocol

Where it fits

Developer-tool servers are usually the first ones people connect, because they turn "help me with this code" into an assistant that can actually read the repo and act on it. DeepseekMCP sits in that group, and the shape of its toolset — deepseek_ask, deepseek_models, deepseek_balance among others — tells you what it is really for. Worth comparing against the other developer tools servers in this directory before you commit to one, since several overlap in scope but differ sharply in setup cost and permissions.

Practical notes

  • This server runs locally, so it operates with whatever access your machine and its credentials already have. Scope that deliberately rather than by default.
  • It will not start until its required credentials are present, so set those before wondering why the tools never appear.
  • Maintained by chew-z, written in Python.
  • MCP clients ask for confirmation before each tool call by default. Keep that on while you learn what the deepseekmcp mcp server actually does with your data.
  • Every entry in this directory is reviewed by hand before it goes live, and details are checked against the project's own documentation.

Available tools

ToolWhat it does
deepseek_askUsed for code analysis, review, and general queries with optional file path inclusion.
deepseek_modelsLists all available DeepSeek models with their capabilities.
deepseek_balanceChecks your DeepSeek API account balance and availability status.
deepseek_token_estimateEstimates the token count for text or a file to help with quota management.

How to install the DeepseekMCP MCP server

## Configuration

### Claude Desktop

```json
{
  "mcpServers": {
    "deepseek": {
      "command": "/Your/project/path/bin/mcp-deepseek",
      "env": {
        "DEEPSEEK_API_KEY": "YOUR_API_KEY",
        "DEEPSEEK_MODEL": "deepseek-chat"
      }
    }
  }
}

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

Configuration

  • Go 1.21+ - DeepSeek API key - Basic understanding of MCP protocol
VariableDescriptionRequired
DEEPSEEK_API_KEYCredential the server authenticates with.Yes
DEEPSEEK_MODELConfiguration value read at startup.Optional
YOUR_API_KEYCredential the server authenticates with.Yes

Example prompts to try

  • Use DeepseekMCP to deepseek ask.
  • Use DeepseekMCP to deepseek models.
  • Use DeepseekMCP to deepseek balance.

Frequently asked questions

It connects DeepseekMCP to MCP-compatible AI assistants such as Claude and Cursor, exposing 4 tools (deepseek_ask, deepseek_models, deepseek_balance, and more) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with DeepseekMCP directly.