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Gemini Thinking Mcp

@falahgs

代码仓库

关于 Gemini Thinking Mcp

暂无概览

#mathgpt#math-solver#math-assistant

基本信息

分类

AI 与智能体

许可证

MIT

运行时

node

传输方式

stdio

发布者

falahgs

提交者

Falah Gatea

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

工具

未检测到工具

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概览

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.

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