Gemini Thinking MCP Server
Provides access to the Gemini-2.0-flash-thinking-exp-01-21 model's capabilities for mathematical reasoning, logical deduction, and structured thinking with adjustable parameters like max tokens and temperature.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Gemini Thinking MCP ServerCan you help me solve this calculus problem step by step?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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
Related MCP server: MCP Gemini Server
Installation
Prerequisites
Node.js (v18 or higher)
npm
Claude Desktop
Google Gemini API key
Setup
Clone this repository:
git clone https://github.com/falahgs/gemini-thinking-mcp.git
cd gemini-thinking-mcpInstall dependencies:
npm installCreate a
.envfile with your Google API key:
GEMINI_API_KEY=your-api-key-hereBuild the project:
npm run buildConfiguring Claude Desktop
To use this MCP server with Claude Desktop, update your Claude Desktop configuration:
Locate your Claude Desktop config file:
Windows:
%APPDATA%\Claude\claude_desktop_config.jsonmacOS:
~/Library/Application Support/Claude/claude_desktop_config.json
Add the following to the
mcpServerssection:
"gemini-thinking": {
"command": "node",
"args": ["/path/to/gemini-thinking-mcp/build/index.js"],
"env": {
"GEMINI_API_KEY": "your-api-key"
}
}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
This example shows the process of installing and configuring the Gemini Thinking MCP server in Claude Desktop environment.
Example 2: Testing Mathematical Problem Solving
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 serverContributing
Contributions are welcome! Please feel free to submit a Pull Request.
License
MIT
This server cannot be deployed
Maintenance
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