Gemini Data Analysis & Research
G

Gemini Data Analysis & Research

A data analysis and research MCP server based on the Gemini Flash 2 AI model, providing functions such as data parsing, intelligent analysis, report generation, and automatic email sending.
2.5 points
7.4K

What is the Gemini Data Analysis and Research MCP Server?

The Gemini Data Analysis and Research MCP Server is a multi - functional tool integrating advanced AI technology, used for processing data, generating research materials, and automating email distribution. It can help you easily complete the entire process from data parsing to the release of final results.

How to use the Gemini Data Analysis and Research MCP Server?

First, install and configure the environment variables, then start using it by simply calling different functional modules with commands. For example, upload files for data analysis or send results to relevant personnel.

Applicable scenarios

Suitable for enterprises and individuals who need to efficiently process large amounts of data, write high - quality research reports, or implement automated office processes.

Main Features

Advanced Data Exploration and Report Generation
Supports comprehensive statistical analysis of datasets in Excel and CSV formats, and generates interactive charts and detailed HTML reports.
Automated Research Paper Writing
Automatically generates professional - level research papers and summaries using the Gemini Flash 2 model.
Secure and Reliable Email Transmission
Supports sending embedded emails with various content types (such as PDF, images) and comes with a comprehensive log tracking system.
Custom Output Directory
Allows users to specify the specific location to save analysis results for easy subsequent reference.
Advantages
Complete complex tasks quickly and accurately
Powerful AI - assisted decision - making ability
Support multi - platform deployment
Flexible parameter settings to meet diverse needs
Limitations
Requires a stable network connection
Initial configuration may be cumbersome
Performance needs to be optimized for extremely large - scale datasets

How to Use

Download and Install Dependencies
Ensure that Node.js (v16+) and TypeScript are installed, and clone the project repository.
Create a Configuration File
Create a.env file in the project root directory and fill in the necessary API keys and SMTP credentials.
Start the Server
Compile the code and run the server to ensure that all functions work properly.

Usage Examples

Analyze Financial Statements
Upload an Excel spreadsheet containing sales data to obtain detailed statistical analysis and visual charts.
Send Monthly Reports
Summarize this month's business performance into a PDF document and send it to team members via email.

Frequently Asked Questions

What if the server fails to start?
How to ensure successful email sending?
What data formats are supported?

Related Resources

Official Documentation
Gain in - depth understanding of the server's various functions and best practices.
GitHub Repository
View the source code and participate in open - source contributions.
Tutorial Video
Watch the demonstration video to learn how to get started quickly.

Installation

Copy the following command to your Client for configuration
{
  "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"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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