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aistudio-mcp-server
Advanced tools
MCP Server for Google AI Studio / Gemini API integration with file processing support
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.
GEMINI_API_KEY=your_api_key npx -y aistudio-mcp-server
npm install -g aistudio-mcp-server
GEMINI_API_KEY=your_api_key aistudio-mcp-server
Set your Google AI Studio API key as an environment variable:
export GEMINI_API_KEY=your_api_key_here
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 responses
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
path
or content
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 onesSupported file types (Gemini 2.5 models):
File limitations:
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"}
]
}
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"
}
]
}
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"
}
]
}
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"
}
]
}
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"
}
}
}
}
Make sure you have Node.js 20.0.0 or higher installed.
npm install
npm run build
GEMINI_API_KEY=your_api_key npm run dev
MIT
FAQs
MCP Server for Google AI Studio / Gemini API integration with file processing support
The npm package aistudio-mcp-server receives a total of 367 weekly downloads. As such, aistudio-mcp-server popularity was classified as not popular.
We found that aistudio-mcp-server demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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