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
22

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 GenerationSupports comprehensive statistical analysis of datasets in Excel and CSV formats, and generates interactive charts and detailed HTML reports.
Automated Research Paper WritingAutomatically generates professional - level research papers and summaries using the Gemini Flash 2 model.
Secure and Reliable Email TransmissionSupports sending embedded emails with various content types (such as PDF, images) and comes with a comprehensive log tracking system.
Custom Output DirectoryAllows users to specify the specific location to save analysis results for easy subsequent reference.

Advantages and Limitations

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 StatementsUpload an Excel spreadsheet containing sales data to obtain detailed statistical analysis and visual charts.
Send Monthly ReportsSummarize 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.
Featured MCP Services
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
131
4.5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
824
4.3 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
80
4.3 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
1.7K
5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
555
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
6.6K
4.5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
279
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
746
4.8 points
AIbase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIbase