Gemini MCP Server Enhanced v2.5

Name: Gemini MCP Server Enhanced v2.5
Author: ivangrynenko

@ivangrynenko

代码仓库

关于 Gemini MCP Server Enhanced v2.5

Enhanced MCP server for Google Gemini 2.5 Pro Preview with 16 powerful tools. Compatible with Claude Desktop.

#mcp #gemini #google-gemini #claude-desktop

基本信息

分类

AI 与智能体

许可证

MIT license

运行时

node

传输方式

stdio

发布者

ivangrynenko

配置

暂无标准配置

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代码仓库

工具

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概览

What is Gemini MCP Server Enhanced v2.5?

Gemini MCP Server Enhanced v2.5 is a Model Context Protocol (MCP) server that provides comprehensive access to Google's Gemini 2.5 Pro Preview AI capabilities. It enables text generation, image analysis, code generation, chat conversations, content creation, and safety moderation through Claude Desktop or custom WebSocket integrations.

How to use Gemini MCP Server Enhanced v2.5?

Clone the repository, install dependencies with npm install, build with npm run build, obtain a Gemini API key from Google AI Studio, configure Claude Desktop (in claude_desktop_config.json with the GEMINI_API_KEY environment variable pointing to dist/stdio.js), and restart Claude Desktop. Then use the provided tools (e.g., generate_text, analyze_image) in your conversations.

Key features of Gemini MCP Server Enhanced v2.5

Full MCP protocol support with stdio transport for Claude Desktop
WebSocket support for custom integrations
Real-time response streaming
Secure API key handling via environment variables
Tools for text generation, image analysis, and code generation
Chat conversations with context memory and session management
Content creation and safety/moderation capabilities

Use cases of Gemini MCP Server Enhanced v2.5

Generate creative text with customizable temperature and token limits
Analyze images, extract text (OCR), and compare multiple images
Generate, explain, refactor, and convert code between programming languages
Conduct chat conversations with session management and summarization
Translate, summarize, rewrite text, and generate structured data (JSON, YAML, CSV, XML, TOML)

FAQ from Gemini MCP Server Enhanced v2.5

What runtime does it require?

Node.js and npm are required. The project is a TypeScript implementation with ES modules.

How do I get a Gemini API key?

Visit Google AI Studio (makersuite.google.com/app/apikey) and create a new API key.

Where are API keys stored?

API keys are handled exclusively via the GEMINI_API_KEY environment variable in the Claude Desktop configuration. No sensitive data is logged or stored by the server.

What are the context window limits?

The current model supports a 1M token context window, with a 2M token window coming soon.

What transports are available?

The server supports stdio transport for Claude Desktop and WebSocket transport for custom integrations.

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