Gemini Thinking MCP Server

@falahgs

代码仓库

基本信息

分类

AI 与智能体

许可证

MIT

传输方式

stdio

作者

falahgs

提交者

Falah Gatea

关于 Gemini Thinking MCP Server

暂无概览

#mathgpt #math-solver #math-assistant

Gemini Thinking MCP Server 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": ""
      }
    }
  }
}

Gemini Thinking MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

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

常见问题

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.

AI 与智能体分类下的更多 MCP 服务器

scvd.store

seancrecord

scvd.store is an evidence observatory for agentic commerce. Independent signed observation of what other people's endpoints, artifacts and payments actually did among other things. USDC on Base, Arbitrum One, World Chain

OpenZiti / LLM-Gateway

openziti

NetFoundry LLM Gateway is an OpenAI-compatible API proxy that routes requests across multiple LLM providers using zero-trust networking. Zero trust LLM gateway. OpenAI-compatible proxy with semantic routing and load bala

SlopIt

SimbaStack

Instant blogs for AI agents: a publishing CMS with no dashboard. One signup call returns a blog, an API key and a live URL; then publish markdown posts and get public URLs back.

Hostinger

hostinger

Model Context Protocol (MCP) server for Hostinger API. If you don't want to install or run anything locally, connect directly to Hostinger's hosted MCP server: This opens a browser window to authorize via OAuth. Once app

148

TruVerifAI Panel-review

TruVerifAI

TruVerifAI's Panel Review is the guardian agent for AI's highest-stakes coding decisions: four frontier models argue over an AI coding agent's riskiest designs, diffs, and commits before they execute, with local review g