falahgs gemini thinking mcp

falahgs gemini thinking mcp avatar

by falahgs

What is falahgs gemini thinking mcp

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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Frequently Asked Questions

What is MCP?

MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.

What are MCP Servers?

MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.

How do MCP Servers work?

MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.

Are MCP Servers secure?

Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.

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