What is Gemini Data Analysis & Research MCP Server?
Gemini Data Analysis & Research MCP Server is a powerful Model Context Protocol (MCP) server that utilizes Google's Gemini Flash 2 AI model for comprehensive data analysis, research paper generation, and automated email delivery.
How to use Gemini Data Analysis & Research MCP Server?
To use the server, clone the repository, set up the environment variables, and run the server. You can analyze datasets, generate research content, and distribute results via email.
Key features of Gemini Data Analysis & Research MCP Server?
- Advanced data analysis of Excel and CSV files with AI insights.
- Automated generation and email delivery of research papers and reports.
- Interactive visualizations and detailed HTML reports.
- Customizable email templates and professional formatting.
Use cases of Gemini Data Analysis & Research MCP Server?
- Analyzing large datasets for business intelligence.
- Generating technical reports and research papers automatically.
- Sending analysis results directly to stakeholders via email.
FAQ from Gemini Data Analysis & Research MCP Server?
- What file formats are supported for analysis?
The server supports .xlsx, .xls, and .csv file formats.
- Is there a limit on dataset size?
The server supports large datasets, but performance may vary based on the complexity of the data.
- How do I set up email functionality?
You need to provide SMTP email account details in the .env file for email delivery.
Gemini Data Analysis & Research MCP Server
A powerful Model Context Protocol (MCP) server that leverages Google's Gemini Flash 2 AI model for comprehensive data analysis, research paper generation, and automated email delivery. This server provides an integrated solution for analyzing datasets, generating research content, and distributing results directly to stakeholders via email.
🚀 Features
analyze-data
)
1. Advanced Data Analysis & Reporting (- Comprehensive analysis of Excel (.xlsx, .xls) and CSV files
- Features:
- Automatic data type detection and parsing
- Statistical analysis of numeric columns
- Interactive visualizations using Chart.js
- AI-powered insights using Gemini Flash 2
- Detailed HTML reports with interactive plots
- Direct email delivery of analysis results
- Basic and detailed analysis modes
- Customizable output directory
- Support for large datasets
- Automatic outlier detection
- Correlation analysis for numeric columns
send-email
)
2. Research & Email Delivery System (- Professional research paper generation and distribution
- Features:
- AI-powered research paper generation
- Automated email delivery of analysis results
- Support for multiple content types:
- Research papers
- Technical reports
- Data analysis summaries
- Business intelligence reports
- Professional email subject line generation
- Support for both HTML and plain text content
- Image attachments with inline display capability
- Secure SMTP authentication
- Comprehensive error handling and status reporting
- Professional email formatting
- Message delivery tracking
- Customizable email templates
generate-thinking
)
3. Research & Analysis Generator (- Advanced research and analysis generation
- Features:
- Research paper generation
- Technical documentation writing
- Data analysis summaries
- Business intelligence reports
- Timestamped response saving
- Customizable output directory
- Direct email delivery of generated content
- Professional content creation
📊 Quick Start
Prerequisites
- Node.js (v16 or higher)
- TypeScript
- Claude Desktop
- Google Gemini API Key
- SMTP Email Account (for email functionality)
Installation
- Clone and setup:
git clone [your-repo-url]
cd gemini-data-analysis-email-generator
npm install
- Create
.env
file:
GEMINI_API_KEY=your_api_key_here
NODEMAILER_EMAIL=your.email@gmail.com
NODEMAILER_PASSWORD=your_app_password_here
- Build the project:
npm run build
Claude Desktop Configuration
- Create/Edit
%AppData%/Claude/claude_desktop_config.json
:
{
"mcpServers": {
"Gemini Data Analysis": {
"command": "node",
"args": ["path/to/gemini-data-analysis-email-generator/dist/index.js"],
"cwd": "path/to/gemini-data-analysis-email-generator",
"env": {
"GEMINI_API_KEY": "your_api_key_here",
"NODEMAILER_EMAIL": "your.email@gmail.com",
"NODEMAILER_PASSWORD": "your_app_password_here"
}
}
}
}
- Restart Claude Desktop
📊 Using the Tools
Data Analysis with EDA and AI
{
"name": "analyze-data",
"arguments": {
"fileData": "base64_encoded_file_content",
"fileName": "data.xlsx",
"analysisType": "detailed",
"outputDir": "./analysis_results"
}
}
Email Sending with AI Subject Generation
{
"name": "send-email",
"arguments": {
"to": "recipient@example.com",
"subjectPrompt": "Create a professional subject line for a business report",
"text": "Hello! This is the plain text version of our email.",
"html": "<h1>Hello!</h1><p>This is the <b>HTML</b> version of our email.</p>",
"images": [
{
"name": "chart.png",
"data": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAA..."
}
]
}
}
Thinking Generation
{
"name": "generate-thinking",
"arguments": {
"prompt": "Analyze the market trends for Q1 2024",
"outputDir": "./thinking_output"
}
}
📁 Output Structure
output/
├── analysis/
│ ├── plots/
│ │ ├── column1_histogram_[timestamp].html
│ │ └── column2_histogram_[timestamp].html
│ ├── analysis_[timestamp].txt
│ └── report_[timestamp].html
├── thinking/
│ └── gemini_thinking_[timestamp].txt
└── emails/
└── email_log_[timestamp].txt
🛠️ Development
Available Scripts
npm run build
: Compile TypeScript to JavaScriptnpm run start
: Start the MCP servernpm run dev
: Run in development mode with ts-node
Environment Variables
GEMINI_API_KEY
: Your Google Gemini API keyNODEMAILER_EMAIL
: Your email address for sending emailsNODEMAILER_PASSWORD
: Your email app password (for Gmail, use an app password)
🔒 Security Notes
- Store your API keys securely
- Don't share your
.env
file - For Gmail, use app passwords instead of your main account password
- Be careful with the content of emails sent through the system
- Never include sensitive or personal information in email examples
🐛 Troubleshooting
Common Issues
-
API Key Error
- Verify
.env
file exists - Check API key validity
- Ensure proper environment loading
- Verify
-
Claude Desktop Connection
- Verify config.json syntax
- Check file paths in config
- Restart Claude Desktop
-
Email Sending Issues
- Check that NODEMAILER_EMAIL and NODEMAILER_PASSWORD are set correctly
- For Gmail, ensure you've created an app password
- Verify that less secure app access is enabled for non-Gmail providers
- Check recipient email address format
-
Data Analysis Issues
- Ensure file format is supported (.xlsx, .xls, .csv)
- Check file encoding (UTF-8 recommended)
- Verify file size is within limits
- Ensure numeric columns are properly formatted
Debug Mode
Add DEBUG=true
to your .env
file for verbose logging:
GEMINI_API_KEY=your_key_here
DEBUG=true
📚 API Reference
Data Analysis Tool
interface AnalyzeDataParams {
fileData: string; // Base64 encoded file content
fileName: string; // File name (must be .xlsx, .xls, or .csv)
analysisType: 'basic' | 'detailed'; // Analysis type
outputDir?: string; // Optional output directory
}
Email Sending Tool
interface SendEmailParams {
to: string; // Recipient email address
subjectPrompt: string; // Prompt for Gemini to generate email subject
text: string; // Plain text version of email
html?: string; // HTML version of email (optional)
images?: { // Optional images to attach
name: string; // Image filename
data: string; // Base64 encoded image data
}[];
}
Thinking Generation Tool
interface GenerateThinkingParams {
prompt: string; // Analysis prompt
outputDir?: string; // Optional output directory
}
👨💻 Author
Falah G. Salieh
📍 Baghdad, Iraq
📅 2025
🤝 Contributing
- Fork the repository
- Create your feature branch
- Commit your changes
- Push to the branch
- Create a Pull Request
📄 License
MIT License - See LICENSE file for details