logo
Free, unlimited AI code reviews that run on commit
git-lrc git-lrc GitHub Install Now We'd appreciate a star git-lrc - Free, unlimited AI code reviews that run on commit | Product Hunt git-lrc - Free, unlimited AI code reviews that run on commit | Product Hunt

deepseek-MCP-server

Integrates the DeepSeek R1 model to enhance reasoning capabilities by allowing advanced logical analysis and structured cognitive frameworks. Evaluates confidence and uncertainty while monitoring reasoning quality and detecting biases in user interactions.

Author

deepseek-MCP-server logo

moyu6027

MIT License

Quick Info

GitHub GitHub Stars 1
NPM Weekly Downloads 0
Tools 1
Last Updated 2026-02-19

Tags

deepseekreasoningtaskreasoning capabilitiesmonitoring reasoningreasoning quality

🧠 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)

  • Clone the Repository bash git clone https://github.com/moyu6027/deepseek-MCP-server.git cd deepseek-MCP-server

  • Ensure UV is Set Up

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

  • Create Virtual Environment bash uv venv source .venv/bin/activate

  • Install Dependencies bash uv add "mcp[cli]" httpx

  • Set Up API Key bash echo "INFINI_API_KEY=your_key_here" > .env

  • Install the Server bash mcp install server.py -f .env

  • Configure MCP Server Edit the claude_desktop_config.json file to include the following configuration:

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

  1. Run the Server bash 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.


See Also

`