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MCP Server Deepseek

@tizee

リポジトリ

基本情報

カテゴリ

その他

ライセンス

MIT license

トランスポート

stdio

作者

tizee

MCP Server Deepseek について

A MCP server provides access to DeepSeek-R1's reasoning capabilities for LLMs

#mcp-server#deepseek#reasoning#llm#api

MCP Server Deepseek の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "mcp-server-deepseek-tizee": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        "venv"
      ]
    }
  }
}

MCP Server Deepseek のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is mcp-server-deepseek?

mcp-server-deepseek is a Model Context Protocol (MCP) server that provides access to DeepSeek-R1’s reasoning capabilities, allowing non-reasoning models to generate better responses with enhanced thinking. It acts as a bridge between LLM applications and DeepSeek’s reasoning model.

How to use mcp-server-deepseek?

Install with Python 3.13+ and a DeepSeek API key: clone the repo, create a virtual environment, run pip install -e ., and set environment variables in a .env file. Start the server with mcp-server-deepseek (or make dev for development mode). The server exposes a single tool think_with_deepseek_r1 that accepts a prompt string and returns DeepSeek-R1’s reasoning wrapped in <thinking> tags.

Key features of mcp-server-deepseek

  • Access to DeepSeek-R1’s reasoning model via API
  • Returns structured thinking in <thinking> format
  • Fully compatible with the Model Context Protocol
  • Robust error handling with detailed logging
  • Simple setup with environment variable configuration

Use cases of mcp-server-deepseek

  • Enhancing responses from models without native reasoning capabilities
  • Accessing DeepSeek-R1’s thinking process for complex problem solving
  • Adding structured reasoning to Claude or other MCP-supporting LLMs
  • Offloading deep reasoning to a specialized model while keeping a main assistant

よくある質問

1

How do I install and configure mcp-server-deepseek?

Clone the repository, create a Python 3.13+ virtual environment, install with `pip install -e .`, copy `.env.example` to `.env`, and set your DeepSeek API key, model name, and API base URL (default `https://api.deepseek.com`).

2

What tool does the server expose?

It exposes a single tool `think_with_deepseek_r1` that takes a `prompt` (string) and returns DeepSeek-R1’s reasoning content enclosed in `<thinking>` tags.

3

What are common issues and how do I resolve them?

Common issues include an incorrect DeepSeek API key (check your `.env` file), timeout errors on complex prompts (try simplifying the prompt), and missing reasoning content (try rephrasing the query). Detailed error logs are stored at `~/.cache/mcp-server-deepseek/server.log` and the log level can be set via the `LOG_LEVEL` environment variable.

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