What is Gemini Thinking MCP?
Gemini Thinking MCP is a Model Context Protocol (MCP) server implementation designed for the Google Gemini language model, specifically optimized for fast and high-quality reasoning capabilities.
How to use Gemini Thinking MCP?
To use Gemini Thinking MCP, you need to install it on your system, configure it with Claude Desktop, and then you can interact with the Gemini model through your conversations.
Key features of Gemini Thinking MCP?
- Fast mathematical reasoning and logical deduction
- Step-by-step analysis of problems
- Structured thinking capabilities
- Easy integration with Claude Desktop
Use cases of Gemini Thinking MCP?
- Solving complex mathematical problems step by step.
- Assisting users in logical deduction tasks.
- Enhancing structured thinking in various applications.
FAQ from Gemini Thinking MCP?
- What are the prerequisites for installation?
You need Node.js (v18 or higher), npm, Claude Desktop, and a Google Gemini API key.
- Can I use Gemini Thinking MCP for other types of reasoning?
Yes! It excels in various reasoning tasks beyond just mathematics.
- Is there a community for contributions?
Yes! Contributions are welcome, and you can submit a Pull Request.
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
.env
file 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
mcpServers
section:
"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