Deepseek Thinker MCP Server

by ruixingshi

69 stars
360 downloads
Not rated
GitHub

About

A MCP provider Deepseek reasoning content to MCP-enabled AI Clients, like Claude Desktop. Supports access to Deepseek's CoT from the Deepseek API service or a local Ollama server.

Details

Author
ruixingshi
GitHub stars
69
Downloads
360
Categories
Developer Tools, AI

- Dual mode support: OpenAI API and Ollama local
- Captures Deepseek’s thinking process for reasoning output
- Provides a single get-deepseek-thinker tool for reasoning queries
- Built with TypeScript, @modelcontextprotocol/sdk, and Zod validation
- Licensed under MIT

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. Configure the plugin with the settings below
    Plugin Name Deepseek Thinker MCP Server
    Command (node, npx, python, etc.)

    Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.

  4. Enable "Start Automatically" if you want the plugin to start when Highlight launches

From the repository

Install and run the server via npx -y deepseek-thinker-mcp or build locally with npm install && npm run build then run node build/index.js. Configure it in your client’s MCP settings, e.g., claude_desktop_config.json, setting environment variables for either OpenAI API mode (API_KEY, BASE_URL) or Ollama mode (USE_OLLAMA=true). Invoke the get-deepseek-thinker tool, providing an originPrompt string, to receive structured reasoning output.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "deepseek thinker mcp server": {
            "deepseek-thinker-mcp": {
                "command": "node",
                "args": [
                    "build/index.js"
                ]
            }
        }
    }
}

McpServers

{
    "deepseek-thinker-mcp": {
        "command": "node",
        "args": [
            "build/index.js"
        ]
    }
}

Deepseek Thinker MCP Server

smithery badge

A MCP (Model Context Protocol) provider Deepseek reasoning content to MCP-enabled AI Clients, like Claude Desktop. Supports access to Deepseek's thought processes from the Deepseek API service or from a local Ollama server.

<a href="https://glama.ai/mcp/servers/d7spzsfuwz">Deepseek Thinker Server MCP server</a>

Core Features

- 🤖 Dual Mode Support
- OpenAI API mode support
- Ollama local mode support

- 🎯 Focused Reasoning
- Captures Deepseek's thinking process
- Provides reasoning output

Available Tools

get-deepseek-thinker

- Description: Perform reasoning using the Deepseek model - Input Parameters: - originPrompt (string): User's original prompt - Returns: Structured text response containing the reasoning process

Environment Configuration

OpenAI API Mode

Set the following environment variables:
API_KEY=<Your OpenAI API Key>
BASE_URL=<API Base URL>

Ollama Mode

Set the following environment variable:
USE_OLLAMA=true

Usage

Integration with AI Client, like Claude Desktop

Add the following configuration to your claude_desktop_config.json:
{
  "mcpServers": {
    "deepseek-thinker": {
      "command": "npx",
      "args": [
        "-y",
        "deepseek-thinker-mcp"
      ],
      "env": {
        "API_KEY": "<Your API Key>",
        "BASE_URL": "<Your Base URL>"
      }
    }
  }
}

Using Ollama Mode

{
  "mcpServers": {
    "deepseek-thinker": {
      "command": "npx",
      "args": [
        "-y",
        "deepseek-thinker-mcp"
      ],
      "env": {
        "USE_OLLAMA": "true"
      }
    }
  }
}

Local Server Configuration

{
  "mcpServers": {
    "deepseek-thinker": {
      "command": "node",
      "args": [
        "/your-path/deepseek-thinker-mcp/build/index.js"
      ],
      "env": {
        "API_KEY": "<Your API Key>",
        "BASE_URL": "<Your Base URL>"
      }
    }
  }
}

Development Setup

```bash

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