gemini-thinking-mcp

gemini-thinking-mcp

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The Gemini Thinking MCP Server is a Model Context Protocol server designed to work with Google's Gemini language model. It enables users of Claude Desktop to access highly responsive and quality reasoning capabilities of the specialized Gemini flash model. The server excels in facilitating mathematical and logical problem-solving.

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