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

Deepseek-pensador-MCP
Un proveedor de MCP Deepseek razonando contenido a clientes de IA habilitados para MCP, como Claude Desktop. Admite el acceso a la cuna de Deepseek desde el servicio de la API Deepseek o un servidor Ollama local.
3 years
Works with Finder
1
Github Watches
9
Github Forks
39
Github Stars
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.
相关推荐
Converts Figma frames into front-end code for various mobile frameworks.
Advanced software engineer GPT that excels through nailing the basics.
Take an adjectivised noun, and create images making it progressively more adjective!
I find academic articles and books for research and literature reviews.
Embark on a thrilling diplomatic quest across a galaxy on the brink of war. Navigate complex politics and alien cultures to forge peace and avert catastrophe in this immersive interstellar adventure.
Descubra la colección más completa y actualizada de servidores MCP en el mercado. Este repositorio sirve como un centro centralizado, que ofrece un extenso catálogo de servidores MCP de código abierto y propietarios, completos con características, enlaces de documentación y colaboradores.
Manipulación basada en Micrypthon I2C del expansor GPIO de la serie MCP, derivada de AdaFruit_MCP230xx
Servidor MCP para obtener contenido de la página web con el navegador sin cabeza de dramaturgo.
Un poderoso complemento Neovim para administrar servidores MCP (protocolo de contexto del modelo)
Puente entre los servidores Ollama y MCP, lo que permite a LLM locales utilizar herramientas de protocolo de contexto del modelo
Servidores MCP impresionantes: una lista curada de servidores de protocolo de contexto del modelo
La aplicación AI de escritorio todo en uno y Docker con trapo incorporado, agentes de IA, creador de agentes sin código, compatibilidad de MCP y más.
Habilite clientes asistentes de IA como Cursor, Windsurf y Claude Desktop para controlar el motor irreal a través del lenguaje natural utilizando el Protocolo de contexto del modelo (MCP).
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!