Deepseek Thinker MCP Server
@ruixingshi
关于 Deepseek Thinker MCP Server
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.
基本信息
配置
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"deepseek-thinker-mcp": {
"command": "node",
"args": [
"build/index.js"
]
}
}
}工具
未检测到工具
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
概览
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-thinkertool 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.
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