Gemini Thinking
Leverage the advanced reasoning capabilities of the Gemini model to solve complex problems quickly and accurately. Engage in step-by-step analysis and structured thinking to enhance your decision-making processes. Integrate seamlessly with Claude Desktop for an enriched conversational experience.
Installation
Installing for Claude Desktop
Manual Configuration Required
This MCP server requires manual configuration. Run the command below to open your configuration file:
npx mcpbar@latest edit -c claudeThis will open your configuration file where you can add the Gemini Thinking MCP server manually.
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
- Clone this repository:
git clone https://github.com/falahgs/gemini-thinking-mcp.git
cd gemini-thinking-mcp
- Install dependencies:
npm install
- Create a
.envfile with your Google API key:
GEMINI_API_KEY=your-api-key-here
- Build the project:
npm run build
Configuring 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.json - macOS:
~/Library/Application Support/Claude/claude_desktop_config.json
- Windows:
-
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 server
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
License
MIT
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