Confidential guide on numerology and astrology, based of GG33 Public information

Deepseek-Thinker-MCP
Ein MCP-Anbieter Deepseek argumentiert Inhalte an MCP-fähige KI-Clients wie Claude Desktop. Unterstützt den Zugriff auf Deepseeks Kinderbett vom Deepseek API -Service oder einem lokalen Ollama -Server.
3 years
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Deepseek Thinker MCP Server
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.
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:
API_KEY=<Your OpenAI API Key>
BASE_URL=<API Base URL>
Ollama Mode
Set the following environment variable:
USE_OLLAMA=true
Usage
Integration with AI Client, like Claude Desktop
Add the following configuration to your claude_desktop_config.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
{
"mcpServers": {
"deepseek-thinker": {
"command": "npx",
"args": [
"-y",
"deepseek-thinker-mcp"
],
"env": {
"USE_OLLAMA": "true"
}
}
}
}
Local Server Configuration
{
"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
# 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.
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Reviews

user_UL31hlQa
As a dedicated user of deepseek-thinker-mcp, I must say this tool is a game-changer for anyone deeply involved in machine learning and data analysis. ruixingshi has done a remarkable job creating an intuitive and powerful application that enhances productivity and accuracy. The seamless integration and user-friendly interface make it ideal for both beginners and seasoned professionals. Highly recommend checking it out at https://github.com/ruixingshi/deepseek-thinker-mcp!