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Gemini Thinking MCP Server

by falahgs
GitHub
JavaScript
MIT License
1
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Gemini Thinking MCP Server

A Model Context Protocol (MCP) server implementation for the Google Gemini language model. This server allows Claude Desktop users to access the powerful reasoning capabilities of Gemini-2.0-flash-thinking-exp-01-21 model.

What is Gemini Flash?

Gemini-2.0-flash-thinking-exp-01-21 is a specialized version of Google's Gemini model that's optimized for fast responses while maintaining high quality. It excels at:

  • Mathematical reasoning
  • Logical deduction
  • Step-by-step analysis
  • Structured thinking

Installation

Prerequisites

  • Node.js (v18 or higher)
  • npm
  • Claude Desktop
  • Google Gemini API key

Setup

  1. Clone this repository:
git clone https://github.com/falahgs/gemini-thinking-mcp.git cd gemini-thinking-mcp
  1. Install dependencies:
npm install
  1. Create a .env file with your Google API key:
GEMINI_API_KEY=your-api-key-here
  1. Build the project:
npm run build

Configuring Claude Desktop

To use this MCP server with Claude Desktop, update your Claude Desktop configuration:

  1. Locate your Claude Desktop config file:
    • Windows: %APPDATA%\Claude\claude_desktop_config.json
    • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  2. Add the following to the mcpServers section:
"gemini-thinking": { "command": "node", "args": ["/path/to/gemini-thinking-mcp/build/index.js"], "env": { "GEMINI_API_KEY": "your-api-key" } }
  1. Restart Claude Desktop to apply the changes.

Usage

Once configured, you can access the Gemini model in your Claude Desktop conversations:

@gemini-thinking Can you help me solve this math problem step by step?

Parameters

You can adjust the model parameters:

  • prompt: Your input text for Gemini (required)
  • max_tokens: Maximum tokens to generate (default: 8192)
  • temperature: Controls randomness (default: 0.2)

Examples

Here are some examples of the Gemini Thinking MCP server setup and usage:

Example 1: Installing MCP Server

MCP Server Installation This example shows the process of installing and configuring the Gemini Thinking MCP server in Claude Desktop environment.

Example 2: Testing Mathematical Problem Solving

Testing Mathematical Solver A demonstration of the MCP server solving a mathematical equation step by step, showing its problem-solving capabilities.

Development

npm run dev # Watch mode npm run build # Build for production npm start # Run the server

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

MIT

This server cannot be installed

-
security - not tested
A
license - permissive license
-
quality - not tested

How are these scores calculated?

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

Implementación de un servidor del Protocolo de Contexto de Modelo (MCP) para el modelo de lenguaje de Google Gemini. Este servidor permite a los usuarios de Claude Desktop acceder a las potentes capacidades de razonamiento del modelo Gemini-2.0-flash-thinking-exp-01-21.

  1. ¿Qué es Gemini Flash?
    1. Instalación
      1. Prerrequisitos
      2. Configuración
    2. Configuración de Claude Desktop
      1. Uso
        1. Parámetros
      2. Ejemplos
        1. Ejemplo 1: Instalación del servidor MCP
        2. Ejemplo 2: Prueba de resolución de problemas matemáticos
      3. Desarrollo
        1. Contribuyendo
          1. Licencia

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