Deepseek Thinker Mcp Server

What is Deepseek Thinker MCP?

Deepseek Thinker MCP is a powerful provider designed to enhance reasoning capabilities for MCP-enabled AI clients, such as Claude Desktop. It facilitates seamless access to Deepseek's Chain of Thought (CoT) through the Deepseek API service or a local Ollama server. This integration allows developers and users to leverage advanced reasoning and decision-making processes in their applications.

Features of Deepseek Thinker MCP

• MCP Compatibility: Specifically designed for MCP-enabled AI clients, ensuring optimal performance and integration.
• Access to Deepseek API: Users can easily connect to Deepseek's extensive API, enabling a wide range of functionalities.
• Local Server Support: Offers the flexibility to operate with a local Ollama server, providing users with more control over their data and processing.
• Enhanced Reasoning: Utilizes advanced algorithms to improve the reasoning capabilities of AI applications, making them more efficient and effective.
• User-Friendly Interface: Designed with a focus on usability, making it easy for developers to implement and utilize the features.

How to Use Deepseek Thinker MCP

1. Installation: Begin by installing the Deepseek Thinker MCP package in your development environment. Follow the installation instructions provided in the documentation.

2. Configuration: Configure the connection settings to either the Deepseek API or your local Ollama server. Ensure that all necessary credentials and endpoints are correctly set up.

3. Integration: Integrate Deepseek Thinker MCP into your AI application. Utilize the provided APIs to access reasoning capabilities and enhance your application's performance.

4. Testing: Conduct thorough testing to ensure that the integration works as expected. Validate the reasoning outputs and make adjustments as necessary.

5. Deployment: Once testing is complete, deploy your application with the integrated Deepseek Thinker MCP functionality.

Frequently Asked Questions

Q1: What is MCP?

A1: MCP stands for Model-Client Protocol, which is a framework that allows AI models to communicate and interact with client applications effectively.

Q2: Can I use Deepseek Thinker MCP without a local server?

A2: Yes, you can use Deepseek Thinker MCP by connecting directly to the Deepseek API without the need for a local server.

Q3: What types of applications can benefit from Deepseek Thinker MCP?

A3: Any application that requires advanced reasoning capabilities, such as chatbots, virtual assistants, and decision-making systems, can benefit from Deepseek Thinker MCP.

Q4: Is there any support available for developers using Deepseek Thinker MCP?

A4: Yes, comprehensive documentation and community support are available to assist developers in utilizing Deepseek Thinker MCP effectively.

Q5: How can I contribute to the Deepseek Thinker MCP project?

A5: Contributions are welcome! You can fork the repository, make your changes, and submit a pull request for review.

Deepseek Thinker MCP Server

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"><img width="380" height="200" src="https://glama.ai/mcp/servers/d7spzsfuwz/badge" alt="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

### Install dependencies
npm install

### Build project
npm run build

### Run service
node build/index.js

FAQ

Response like this: "MCP error -32001: Request timed out"

This error occurs when the Deepseek API response is too slow or when the reasoning content output is too long, causing the MCP server to timeout.

Tech Stack

• TypeScript
• @modelcontextprotocol/sdk
• OpenAI API
• Ollama
• Zod (parameter validation)

License

This project is licensed under the MIT License. See the LICENSE file for details.