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

$3

- Node.js 20.0.0 or higher
- Google AI Studio API key

$3

``bash
GEMINI_API_KEY=your_api_key npx -y aistudio-mcp-server
`

$3

`bash
npm install -g aistudio-mcp-server
GEMINI_API_KEY=your_api_key aistudio-mcp-server
`

Configuration

Set your Google AI Studio API key as an environment variable:

`bash
export GEMINI_API_KEY=your_api_key_here
`

$3

- 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:
`bash
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 responses
`

Available Tools

$3

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 generation
- system_prompt (string, optional): System prompt to guide AI behavior
- files (array, optional): Array of files to include in generation
- Each file object must have either path or content
- path (string): Path to file
- content (string): Base64 encoded file content
- type (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:
`json
{
"user_prompt": "Analyze this image and describe what you see",
"files": [
{
"path": "/path/to/image.jpg"
}
]
}
`

PDF to Markdown conversion:
`json
{
"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:
`json
{
"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:
`json
{
"user_prompt": "Compare these documents and images",
"files": [
{"path": "/document.pdf"},
{"path": "/chart.png"},
{"content": "base64encodedcontent", "type": "image/jpeg"}
]
}
`

Common Use Cases

$3

To convert PDF files to Markdown format, use the generate_content tool with an appropriate prompt:

`json
{
"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"
}
]
}
`

$3

Analyze images, charts, diagrams, or photos with detailed descriptions:

`json
{
"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:

`json
{
"user_prompt": "Describe this system architecture diagram. Explain the components and their relationships.",
"files": [
{
"path": "/architecture-diagram.png"
}
]
}
`

$3

Generate transcripts from audio files:

`json
{
"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:

`json
{
"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:

`json
{
"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

$3

Make sure you have Node.js 20.0.0 or higher installed.

`bash
npm install
npm run build
`

$3

`bash
GEMINI_API_KEY=your_api_key npm run dev
``

License

MIT