Other MCP Server · MODEL CONTEXT PROTOCOL
falahgs gemini thinking mcp
falahgs gemini thinking mcp is a community-listed Model Context Protocol server. Review the source repository before installation.
WHAT IT CONNECTS
What falahgs gemini thinking mcp gives an AI Agent
The source catalog does not include a structured feature list. Review the repository documentation before use.
SECURITY
An MCP listing is not a security review
An MCP server may receive model context, credentials, local files, or permission to call external systems. Review its code, requested environment variables, network behavior, package provenance, and maintenance status before connecting it to an agent.
README
Repository documentation
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.
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
- Node.js (v18 or higher)
- npm
- Claude Desktop
- Google Gemini API key
- 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 buildTo 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.
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?
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)
Here are some examples of the Gemini Thinking MCP server setup and usage:
This example shows the process of installing and configuring the Gemini Thinking MCP server in Claude Desktop environment.
A demonstration of the MCP server solving a mathematical equation step by step, showing its problem-solving capabilities.
npm run dev # Watch mode
npm run build # Build for production
npm start # Run the serverContributions are welcome! Please feel free to submit a Pull Request.
MIT
COMMUNITY