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Gemini Thinking MCP Server

Gemini Thinking MCP Server

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falahgs/gemini-thinking-mcp

Model Context Protocol server enabling Claude Desktop to access Google's Gemini-2.0-flash-thinking model for advanced mathematical reasoning, logical deduction, and step-by-step analytical problem solving with fast, high-quality responses.

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May 30, 2025
Updated Jun 4, 2025

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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

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