Gemini Data Analysis & Research MCP Server

What is Gemini Data Analysis & Research MCP Server?

The Gemini Data Analysis & Research MCP Server leverages Google's Gemini Flash 2 AI model for comprehensive data analysis, research paper generation, and automated email delivery. It is designed for users who need an integrated solution to analyze datasets (Excel and CSV), generate research content, and distribute results to stakeholders via email.

How to use Gemini Data Analysis & Research MCP Server?

Installation requires Node.js v16+, TypeScript, Claude Desktop, a Google Gemini API Key, and an SMTP email account. After cloning the repository, run npm install, create a .env file with GEMINI_API_KEY, NODEMAILER_EMAIL, and NODEMAILER_PASSWORD, then build with npm run build. Configure Claude Desktop by editing claude_desktop_config.json with the server command and environment variables. Use MCP tools (analyze-data, send-email, generate-thinking) to perform analyses, send emails, or generate research.

Key features of Gemini Data Analysis & Research MCP Server

• Analyzes Excel (.xlsx, .xls) and CSV files with automatic data type detection.
• Generates AI-powered insights and interactive visualizations using Chart.js.
• Delivers detailed HTML reports and analysis results via email.
• Creates research papers, technical reports, and business intelligence summaries.
• Supports timestamped response saving and customizable output directories.

Use cases of Gemini Data Analysis & Research MCP Server

• Analyze large datasets and generate interactive reports for stakeholders.
• Automate the creation and email delivery of research papers or technical documentation.
• Produce business intelligence summaries with AI-driven insights and visualizations.