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.
Documentation
AI Studio MCP Server
A Model Context Protocol (MCP) server that integrates with Google AI Studio / Gemini API, providing content generation capabilities with support for files, conversation history, and system prompts.
Installation and Usage
Prerequisites
- Node.js 20.0.0 or higher
- Google AI Studio API key
Using npx (Recommended)
GEMINI_API_KEY=your_api_key npx -y aistudio-mcp-serverLocal Installation
npm install -g aistudio-mcp-server
GEMINI_API_KEY=your_api_key aistudio-mcp-serverConfiguration
Set your Google AI Studio API key as an environment variable:
export GEMINI_API_KEY=your_api_key_hereOptional Configuration
GEMINI_MODEL: Gemini model to use (default: gemini-2.5-flash)GEMINI_TIMEOUT: Request timeout in milliseconds (default: 300000 = 5 minutes)GEMINI_MAX_OUTPUT_TOKENS: Maximum output tokens (default: 8192)GEMINI_MAX_FILES: Maximum number of files per request (default: 10)GEMINI_MAX_TOTAL_FILE_SIZE: Maximum total file size in MB (default: 50)GEMINI_TEMPERATURE: Temperature for generation (0-2, default: 0.2)
Example:
export GEMINI_API_KEY=your_api_key_here
export GEMINI_MODEL=gemini-2.5-flash
export GEMINI_TIMEOUT=600000 # 10 minutes
export GEMINI_MAX_OUTPUT_TOKENS=16384 # More output tokens
export GEMINI_MAX_FILES=5 # Limit to 5 files per request
export GEMINI_MAX_TOTAL_FILE_SIZE=100 # 100MB limit
export GEMINI_TEMPERATURE=0.7 # More creative responsesAvailable Tools
generate_content
Generates content using Gemini with comprehensive support for files, conversation history, and system prompts. Supports various file types including images, PDFs, Office documents, and text files.
Parameters:
user_prompt(string, required): User prompt for generationsystem_prompt(string, optional): System prompt to guide AI behaviorfiles(array, optional): Array of files to include in generation- Each file object must have either
pathorcontent path(string): Path to filecontent(string): Base64 encoded file contenttype(string, optional): MIME type (auto-detected from file extension)model(string, optional): Gemini model to use (default: gemini-2.5-flash)temperature(number, optional): Temperature for generation (0-2, default: 0.2). Lower values produce more focused responses, higher values more creative ones
Supported file types (Gemini 2.5 models):
- Images: JPG, JPEG, PNG, GIF, WebP, SVG, BMP, TIFF
- Video: MP4, AVI, MOV, WEBM, FLV, MPG, WMV (up to 10 files per request)
- Audio: MP3, WAV, AIFF, AAC, OGG, FLAC (up to 15MB per file)
- Documents: PDF (treated as images, one page = one image)
- Text: TXT, MD, JSON, XML, CSV, HTML
File limitations:
- Maximum file size: 15MB per audio/video/document file
- Maximum total request size: 20MB (2GB when using Cloud Storage)
- Video files: Up to 10 per request
- PDF files follow image pricing (one page = one image)
Basic example:
{
"user_prompt": "Analyze this image and describe what you see",
"files": [
{
"path": "/path/to/image.jpg"
}
]
}PDF to Markdown conversion:
{
"user_prompt": "Convert this PDF to well-formatted Markdown, preserving structure and formatting. Return only the Markdown content.",
"files": [
{
"path": "/path/to/document.pdf"
}
]
}With system prompt:
{
"system_prompt": "You are a helpful document analyst specialized in technical documentation",
"user_prompt": "Please provide a detailed explanation of the authentication methods shown in this document",
"files": [
{"path": "/api-docs.pdf"}
]
}Multiple files example:
{
"user_prompt": "Compare these documents and images",
"files": [
{"path": "/document.pdf"},
{"path": "/chart.png"},
{"content": "base64encodedcontent", "type": "image/jpeg"}
]
}Common Use Cases
PDF to Markdown Conversion
To convert PDF files to Markdown format, use the generate_content tool with an appropriate prompt:
{
"user_prompt": "Convert this PDF to well-formatted Markdown, preserving structure, headings, lists, and formatting. Include table of contents if the document has sections.",
"files": [
{
"path": "/path/to/document.pdf"
}
]
}Image Analysis
Analyze images, charts, diagrams, or photos with detailed descriptions:
{
"system_prompt": "You are an expert image analyst. Provide detailed, accurate descriptions of visual content.",
"user_prompt": "Analyze this image and describe what you see. Include details about objects, people, text, colors, and composition.",
"files": [
{
"path": "/path/to/image.jpg"
}
]
}For screenshots or technical diagrams:
{
"user_prompt": "Describe this system architecture diagram. Explain the components and their relationships.",
"files": [
{
"path": "/architecture-diagram.png"
}
]
}Audio Transcription
Generate transcripts from audio files:
{
"system_prompt": "You are a professional transcription service. Provide accurate, well-formatted transcripts.",
"user_prompt": "Please transcribe this audio file. Include speaker identification if multiple speakers are present, and format it with proper punctuation and paragraphs.",
"files": [
{
"path": "/meeting-recording.mp3"
}
]
}For interview or meeting transcripts:
{
"user_prompt": "Transcribe this interview and provide a summary of key points discussed.",
"files": [
{
"path": "/interview.wav"
}
]
}MCP Client Configuration
Add this server to your MCP client configuration:
{
"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"
}
}
}
}Development
Setup
Make sure you have Node.js 20.0.0 or higher installed.
npm install
npm run buildRunning locally
GEMINI_API_KEY=your_api_key npm run devLicense
MIT
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