Gemini Data Analysis & Research MCP Server

What is Gemini Data Analysis & Research MCP Server?

An MCP server that uses Google’s Gemini Flash 2 AI model to analyze data, generate research content, and deliver results via email. It integrates with Claude Desktop and is designed for data analysts and researchers who need automated analysis and reporting directly in their workflow.

How to use Gemini Data Analysis & Research MCP Server?

Install Node.js v16+, clone the repository, run npm install and npm run build, then set GEMINI_API_KEY and SMTP credentials in a .env file. Configure Claude Desktop by adding the server to claude_desktop_config.json. Use the tools analyze-data, send-email, and generate-thinking with appropriate arguments.

Key features of Gemini Data Analysis & Research MCP Server

• AI‑powered data analysis using Gemini Flash 2
• Automated email delivery of analysis results
• Research paper and report generation
• Interactive HTML reports with Chart.js visualizations
• Supports Excel (.xlsx, .xls) and CSV files
• Timestamped output saving to organized directories

Use cases of Gemini Data Analysis & Research MCP Server

• Analyze a sales dataset and email a detailed report to stakeholders
• Generate a market trends research paper for Q1 2024
• Create a technical documentation summary from structured data
• Send a business intelligence report with attached charts as images

FAQ from Gemini Data Analysis & Research MCP Server

What prerequisites are needed?

Node.js v16 or higher, TypeScript, Claude Desktop, a Google Gemini API key, and an SMTP email account (for email features).

How do I configure Claude Desktop?

Edit %AppData%/Claude/claude_desktop_config.json, add an entry under mcpServers with the command node, path to the built index.js, and environment variables for the API key and email credentials.

Which file