Gemini Thinking Mcp

@falahgs

About Gemini Thinking Mcp

No overview available yet

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "gemini-thinking": {
      "command": "node",
      "args": [
        "/path/to/gemini-thinking-mcp/build/index.js"
      ],
      "env": {
        "GEMINI_API_KEY": ""
      }
    }
  }
}

Tools

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Overview

What is Gemini Thinking Mcp?

Gemini Thinking Mcp is a Model Context Protocol (MCP) server that integrates Google’s Gemini-2.0-flash-thinking-exp-01-21 model with Claude Desktop. It enables Claude users to leverage Gemini’s fast, high‑quality reasoning for tasks such as mathematical problem solving, logical deduction, and step‑by‑step analysis.

How to use Gemini Thinking Mcp?

Install Node.js v18+, clone the repository, run npm install, create a .env file with your GEMINI_API_KEY, build with npm run build, then add a gemini-thinking entry to Claude Desktop’s mcpServers configuration. In conversations, invoke the model with @gemini-thinking followed by your prompt.

Key features of Gemini Thinking Mcp

Exposes Gemini‑2.0‑flash‑thinking‑exp‑01‑21 to Claude Desktop
Optimized for fast, high‑quality reasoning
Supports mathematical reasoning and logical deduction
Enables step‑by‑step structured thinking
Configurable parameters: prompt, max_tokens, temperature
Local setup with a single API key

Use cases of Gemini Thinking Mcp

Solving mathematical equations step by step
Performing logical deduction and analytical tasks
Generating structured, reasoned explanations in Claude conversations

FAQ from Gemini Thinking Mcp

What are the prerequisites for using Gemini Thinking Mcp?

Node.js v18 or higher, npm, Claude Desktop, and a valid Google Gemini API key.

How do I configure Claude Desktop to use this server?

Add a JSON object to the mcpServers section of Claude Desktop’s config file, specifying the node command, the path to the built server (build/index.js), and the GEMINI_API_KEY environment variable.

What parameters can I adjust when calling Gemini Thinking Mcp?

You can set prompt (required), max_tokens (default 8192), and temperature (default 0.2) to control the model’s output.

Frequently asked questions

What are the prerequisites for using Gemini Thinking Mcp?

Node.js v18 or higher, npm, Claude Desktop, and a valid Google Gemini API key.

How do I configure Claude Desktop to use this server?

Add a JSON object to the `mcpServers` section of Claude Desktop’s config file, specifying the `node` command, the path to the built server (`build/index.js`), and the `GEMINI_API_KEY` environment variable.

What parameters can I adjust when calling Gemini Thinking Mcp?

You can set `prompt` (required), `max_tokens` (default 8192), and `temperature` (default 0.2) to control the model’s output.

Comments

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