deepseek-thinker-mcp

# Deepseek Thinker MCP Server [](https://smithery.ai/server/@ruixingshi/deepseek-thinker-mcp) A MCP (Model Context Protocol) provider Deepseek reasoning content to MCP-enabled AI Clients, like Claude Desktop. Supports access to Deepseek's thought processes from the Deepseek API service or from a local Ollama server. <a href="https://glama.ai/mcp/servers/d7spzsfuwz"><img width="380" height="200" src="https://glama.ai/mcp/servers/d7spzsfuwz/badge" alt="Deepseek Thinker Server MCP server" /></a> ## Core Features - 🤖 **Dual Mode Support** - OpenAI API mode support - Ollama local mode support - 🎯 **Focused Reasoning** - Captures Deepseek's thinking process - Provides reasoning output ## Available Tools ### get-deepseek-thinker - **Description**: Perform reasoning using the Deepseek model - **Input Parameters**: - `originPrompt` (string): User's original prompt - **Returns**: Structured text response containing the reasoning process ## Environment Configuration ### OpenAI API Mode Set the following environment variables: ```bash API_KEY=<Your OpenAI API Key> BASE_URL=<API Base URL> ``` ### Ollama Mode Set the following environment variable: ```bash USE_OLLAMA=true ``` ## Usage ### Integration with AI Client, like Claude Desktop Add the following configuration to your `claude_desktop_config.json`: ```json { "mcpServers": { "deepseek-thinker": { "command": "npx", "args": [ "-y", "deepseek-thinker-mcp" ], "env": { "API_KEY": "<Your API Key>", "BASE_URL": "<Your Base URL>" } } } } ``` ### Using Ollama Mode ```json { "mcpServers": { "deepseek-thinker": { "command": "npx", "args": [ "-y", "deepseek-thinker-mcp" ], "env": { "USE_OLLAMA": "true" } } } } ``` ### Local Server Configuration ```json { "mcpServers": { "deepseek-thinker": { "command": "node", "args": [ "/your-path/deepseek-thinker-mcp/build/index.js" ], "env": { "API_KEY": "<Your API Key>", "BASE_URL": "<Your Base URL>" } } } } ``` ## Development Setup ```bash # Install dependencies npm install # Build project npm run build # Run service node build/index.js ``` ## FAQ ### Response like this: "MCP error -32001: Request timed out" This error occurs when the Deepseek API response is too slow or when the reasoning content output is too long, causing the MCP server to timeout. ## Tech Stack - TypeScript - @modelcontextprotocol/sdk - OpenAI API - Ollama - Zod (parameter validation) ## License This project is licensed under the MIT License. See the LICENSE file for details.