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Gemini Data Analysis & Research MCP Server

@falahgs

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データと分析

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falahgs

Gemini Data Analysis & Research MCP Server について

概要はまだありません

#data-analysis#research#email-automation

Gemini Data Analysis & Research MCP Server の設定

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このサーバーの README には解析可能な MCP 設定ブロックが含まれていません。インストール手順はリポジトリをご確認ください。

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Gemini Data Analysis & Research MCP Server のツール

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ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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.

よくある質問

1

What prerequisites are needed to run this server?

You need Node.js v16 or higher, TypeScript, Claude Desktop, a Google Gemini API Key, and an SMTP email account (e.g., Gmail with an app password).

2

How do I configure the server for Claude Desktop?

Edit `%AppData%/Claude/claude_desktop_config.json` with the command `"node"`, the path to `dist/index.js`, the working directory, and environment variables `GEMINI_API_KEY`, `NODEMAILER_EMAIL`, and `NODEMAILER_PASSWORD`. Restart Claude Desktop.

3

What file formats are supported for data analysis?

The server supports Excel files (.xlsx, .xls) and CSV files. Files should use UTF-8 encoding and numeric columns must be properly formatted.

4

How do I send an email with AI-generated subject lines?

Use the `send-email` tool with arguments for recipient (`to`), a prompt for subject generation (`subjectPrompt`), plain text (`text`), optional HTML (`html`), and optional base64-encoded images (`images`).

5

What should I do if I get an API key error?

Verify that the `.env` file exists and contains a valid `GEMINI_API_KEY`. Ensure the environment is loaded properly. Check that the API key is active and has not expired.

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