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deepseek-MCP-server

通过集成DeepSeek R1的高级推理引擎以处理复杂推理任务,从而增强Claude推理能力的服务器。

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README

🧠 DeepSeek MCP Server

DeepSeek MCP Server

🚀 Features

Enhance Claude's reasoning capabilities with the integration of DeepSeek R1's advanced reasoning engine. This server enables Claude to tackle complex reasoning tasks by leveraging the reasoning capabilites of deepseek r1 model.

  • DeepSeek R1 (The Brain) acts as the advanced reasoning planner:

    • Plans multi-step logical analysis strategies
    • Structures cognitive frameworks
    • Evaluates confidence and uncertainty
    • Monitors reasoning quality
    • Detects edge cases and biases
  • Claude (The Executor) implements the reasoning plans:

    • Executes the structured analysis
    • Implements planned strategies
    • Delivers final responses
    • Handles user interaction
    • Manages system integrations

🚀 Features

Advanced Reasoning Capabilities

  • Supports intricate multi-step reasoning tasks.
  • Designed for precision and efficiency in generating thoughtful responses.
  • 使用无问芯穹的API

Complete Setup guide

Prerequisites

  • Python 3.12 or higher
  • uv package manager
  • INFINI_API_KEY For DeepSeek (Sign up at 无问芯穹)
  1. Clone the Repository

    git clone https://github.com/moyu6027/deepseek-MCP-server.git
    cd deepseek-MCP-server
    
  2. Ensure UV is Set Up

    • Windows: Run the following in PowerShell:
      powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
      
    • Mac: Run the following:
      curl -LsSf https://astral.sh/uv/install.sh | sh
      
  3. Create Virtual Environment

    uv venv
    source .venv/bin/activate
    
  4. Install Dependencies

    uv add "mcp[cli]" httpx
    
  5. Set Up API Key

    echo "INFINI_API_KEY=your_key_here" > .env
    
  6. Install the Server

    mcp install server.py -f .env
    
  7. Configure MCP Server Edit the claude_desktop_config.json file to include the following configuration:

    {
        "mcpServers": {
            "deepseek-mcp": {
                "command": "uv",
                "args": [
                    "--directory",
                    "PATH_TO_DEEPSEEK_MCP_SERVER",
                    "run",
                    "server.py"
                ]
            }
        }
    }
    
  8. Run the Server

    uv run server.py
    

🛠 Usage

Starting the Server

The server automatically starts when used with Claude Desktop. Ensure Claude Desktop is configured to detect the MCP server.

Example Workflow

  1. Claude receives a query requiring advanced reasoning.
  2. The query is forwarded to DeepSeek R1 for processing.
  3. DeepSeek R1 returns structured reasoning wrapped in <ant_thinking> tags.
  4. Claude integrates the reasoning into its final response.

📄 License

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


help

Runtime guide

cloud

Hosted runtime

Hosted servers run from a provider-managed environment. You usually connect the MCP client to the hosted endpoint or follow the provider's authorization flow, without keeping a local process alive

  1. Open provider connection page
  2. Authorize or copy endpoint
  3. Connect from your MCP client
terminal

Local runtime / other methods

Local servers run on your own machine or infrastructure. You normally copy the server_config into your MCP client, install the required package, and provide env variables from env_schema when needed

  1. Copy server_config
  2. Install required package
  3. Fill env variables and restart client