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Gemini MCP Server for Claude Desktop

@Garblesnarff

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

Garblesnarff

关于 Gemini MCP Server for Claude Desktop

A Model Context Protocol (MCP) server that enables Claude Desktop to interact with Google's Gemini AI - featuring 7 tools with Smart Tool Intelligence that learns from your usage patterns

Gemini MCP Server for Claude Desktop 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-mcp-server": {
      "command": "node",
      "args": [
        "test-tool-intelligence-full.js"
      ]
    }
  }
}

Gemini MCP Server for Claude Desktop 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 MCP Server for Claude Desktop?

Gemini MCP Server for Claude Desktop is an MCP server that provides 7 AI-powered tools via the Gemini API, featuring a Smart Tool Intelligence system that automatically learns user preferences and enhances prompts over time. It is designed for integration with Claude Desktop.

How to use Gemini MCP Server for Claude Desktop?

Clone the repository, run npm install, set your Gemini API key in a .env file, then start the server with npm start. Add a gemini entry to your Claude Desktop configuration (claude_desktop_config.json) pointing to the server script and including your API key in the environment variables.

Key features of Gemini MCP Server for Claude Desktop

  • 7 AI tools: image generation, editing, chat, audio transcription, code execution, video analysis, image analysis
  • Smart Tool Intelligence: self-learning context detection and prompt enhancement
  • Persistent memory of preferences across sessions with automatic migration
  • Verbatim audio transcription mode capturing filler words and emotions
  • Secure sandboxed Python code execution
  • Supports multiple file types with defined size limits (images/audio 20MB, video 100MB)

Use cases of Gemini MCP Server for Claude Desktop

  • Generate images from text descriptions using Gemini 2.0 Flash
  • Edit existing images with natural language instructions
  • Transcribe audio files with optional verbatim mode for exact word-for-word output
  • Execute Python code in a sandboxed environment for data analysis or automation
  • Analyze video content for summaries, transcripts, and object detection

常见问题

1

How does the Smart Tool Intelligence system work?

It automatically detects context (e.g., coding, consciousness research, debugging), enhances prompts with relevant instructions, stores successful interaction patterns, and adapts over time.

2

Where are learned preferences stored?

Preferences are stored internally at `./data/tool-preferences.json` with automatic migration from external storage.

3

What are the file size limits?

Images are limited to 20MB, audio to 20MB, and video to 100MB. Supported formats are listed for each tool.

4

What context types does the system recognize?

It recognizes `consciousness` (academic rigor), `code` (practical examples), `debugging` (root cause analysis), `general` (comprehensive responses), and `verbatim` (exact transcription for audio).

5

How do I enable verbatim transcription mode?

Set the `context` parameter to `"verbatim"` in the audio transcription tool and optionally set `preserve_spelled_acronyms` to true.

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