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.
@ruixingshi
基本信息
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.
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"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
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。
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.
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.
get-deepseek-thinker tool for reasoning queriesThis error occurs when the Deepseek API response is too slow or the reasoning output is too long, causing the MCP server to time out.
It supports two modes: OpenAI API mode (requires API_KEY and BASE_URL) and Ollama local mode (set USE_OLLAMA=true).
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.
Node.js and npm are needed to install dependencies and build the project. The server is a Node.js application built with TypeScript.
The project is open source under the MIT License; the repository includes the full license file.
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