What are the prerequisites?
Node.js 20.0.0 or higher and a Google AI Studio API key.
@eternnoir
基本信息
Google AI Studio MCP Server - Powerful Gemini API integration for Model Context Protocol with multi-modal file processing, PDF-to-Markdown conversion, image analysis, and audio transcription capabilities. Supports all Gemini 2.5 models with comprehensive file format support.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"aistudio": {
"command": "npx",
"args": [
"-y",
"aistudio-mcp-server"
],
"env": {
"GEMINI_API_KEY": "your_api_key_here",
"GEMINI_MODEL": "gemini-2.5-flash",
"GEMINI_TIMEOUT": "600000",
"GEMINI_MAX_OUTPUT_TOKENS": "16384",
"GEMINI_MAX_FILES": "10",
"GEMINI_MAX_TOTAL_FILE_SIZE": "50",
"GEMINI_TEMPERATURE": "0.2"
}
}
}
}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。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
It is a Model Context Protocol (MCP) server that integrates with Google AI Studio and the Gemini API, enabling content generation with support for files, conversation history, and system prompts.
Set the GEMINI_API_KEY environment variable, then run the server via npx -y aistudio-mcp-server or install globally and run aistudio-mcp-server. Add it to any MCP client configuration using the provided JSON template.
Node.js 20.0.0 or higher and a Google AI Studio API key.
Set the `GEMINI_API_KEY` environment variable before running the server.
Yes, set the `GEMINI_MODEL` environment variable (default is `gemini-2.5-flash`).
Images (JPG, PNG, GIF, WebP, etc.), video (MP4, AVI, MOV), audio (MP3, WAV, FLAC), PDFs, and text files (TXT, MD, JSON, XML, CSV, HTML).
Maximum 15MB per audio/video/document file, up to 10 video files per request, and a total request size of 20MB (2GB when using Cloud Storage).

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