What are the prerequisites?
Node.js 20.0.0 or higher and a Google AI Studio API key.
@eternnoir
基本情報
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.
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"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"
}
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。
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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