Deepseek Thinker MCP Server

Name: Deepseek Thinker MCP Server
Author: ruixingshi

@ruixingshi

Deepseek Thinker MCP Server について

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.

基本情報

カテゴリ

AI とエージェント

ランタイム

node

トランスポート

stdio

公開者

ruixingshi

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

ツール

ツールは検出されませんでした

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 Deepseek Thinker MCP Server?

Deepseek Thinker MCP Server is an MCP (Model Context Protocol) provider that delivers Deepseek reasoning content (including thought processes) to MCP-enabled AI clients, such as Claude Desktop. It supports access either through the Deepseek API service or via a local Ollama server.

How to use Deepseek Thinker MCP Server?

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.

Key features of Deepseek Thinker MCP Server

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

Use cases of Deepseek Thinker MCP Server

Integrating Deepseek reasoning directly into Claude Desktop conversations
Accessing Deepseek’s thought processes without sending data to the cloud (Ollama mode)
Adding reasoning capabilities to any MCP‑enabled AI assistant
Experimenting with Deepseek’s reasoning chain for analysis or debugging

FAQ from Deepseek Thinker MCP Server

I see “MCP error -32001: Request timed out”. What does that mean?

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

What modes does Deepseek Thinker MCP Server support?

It supports two modes: OpenAI API mode (requires API_KEY and BASE_URL) and Ollama local mode (set USE_OLLAMA=true).

How do I switch between modes?

Set the appropriate environment variables in your MCP server configuration. Use API_KEY and BASE_URL for OpenAI API mode, or set USE_OLLAMA=true for Ollama mode.

What are the runtime requirements?

Node.js and npm are needed to install dependencies and build the project. The server is a Node.js application built with TypeScript.

Where can I find the source and license?

The project is open source under the MIT License; the repository includes the full license file.

「AI とエージェント」の他のコンテンツ

🛡️ A.I.G（AI-Infra-Guard）

Tencent

A full-stack AI Red Teaming platform securing AI ecosystems via OpenClaw Security Scan, Agent Scan, Skills Scan, MCP scan, AI Infra scan and LLM jailbreak evaluation.

4.1K

MCP Manager for Claude Desktop

zueai

simple web ui to manage mcp (model context protocol) servers in the claude app

290

Model Context Protocol for Unreal Engine

chongdashu

Enable AI assistant clients like Cursor, Windsurf and Claude Desktop to control Unreal Engine through natural language using the Model Context Protocol (MCP).

2.0K