About Gemini Thinking Mcp
Gemini Thinking MCP is a server that lets Claude Desktop use Gemini-2.0-flash-thinking-exp-01-21 for reasoning tasks, including step-by-step math and logical analysis.
Key features
- 01Gemini model access
- 02Step-by-step reasoning
- 03Adjustable token limit
- 04Configurable temperature
Use cases
- 01Solving math problems step by step
- 02Analyzing logical questions
- 03Using Gemini from Claude Desktop
MCP support
It exposes Gemini-2.0-flash-thinking-exp-01-21 to MCP clients such as Claude Desktop. The server accepts a prompt and configurable generation parameters.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEGemini 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
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.