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Google AI Studio MCP Server

@eternnoir

Repository

Basic information

Category

Media & Design

Transports

stdio

Author

eternnoir

Submitted by

FrankWang

About Google AI Studio MCP Server

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.

#gemini#aistudio

Google AI Studio MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "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"
      }
    }
  }
}

Google AI Studio MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

Fetch the live tool list by running this server in a temporary sandbox using the button above.

Overview

What is Google AI Studio MCP Server?

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.

How to use Google AI Studio MCP Server?

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.

Key features of Google AI Studio MCP Server

  • Integrates with Google AI Studio / Gemini API
  • Supports multiple file types (images, PDFs, audio, video, documents)
  • Customizable generation parameters (model, temperature, tokens)
  • Configurable timeout, file limits, and maximum file size
  • System prompts and conversation history support
  • PDF to Markdown conversion and image analysis

Use cases of Google AI Studio MCP Server

  • Convert PDF documents to structured Markdown
  • Analyze images, charts, and screenshots with detailed descriptions
  • Transcribe audio files and summarize meetings or interviews
  • Compare multiple documents and images in one request
  • Generate content with customized system prompts and parameters

Frequently asked questions

1

What are the prerequisites?

Node.js 20.0.0 or higher and a Google AI Studio API key.

2

How do I set the API key?

Set the `GEMINI_API_KEY` environment variable before running the server.

3

Can I change the Gemini model?

Yes, set the `GEMINI_MODEL` environment variable (default is `gemini-2.5-flash`).

4

What file types are supported?

Images (JPG, PNG, GIF, WebP, etc.), video (MP4, AVI, MOV), audio (MP3, WAV, FLAC), PDFs, and text files (TXT, MD, JSON, XML, CSV, HTML).

5

What are the file size limits?

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).

Comments

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