Reading Plus Ai MCP Server Data Exploration

🚀 MCP Data Exploration Server

The MCP Server is a powerful tool designed for interactive data exploration.

Your personal data scientist assistant that transforms complex datasets into clear and actionable insights.

🚀 Quick Start

1. Download the Claude Desktop Version

   • Download link: Here

2. Installation and Setup

   • On a macOS system, run the following command for installation:

     python setup.py
     

3. Load Templates and Tools

   • After the server starts, wait for the templates and tools to load in the Claude desktop version.

4. Start Exploration

   • Select the explore-data prompt template in MCP.
   • When starting a conversation, provide the following required inputs:
     • csv_path: The local path of the CSV file.
     • topic: The topic of exploration (e.g., "Weather patterns in New York" or "Housing prices in California").

💻 Usage Examples

Here are some examples of data exploration you can perform using the MCP Server without manual intervention.

Example 1: Real Estate Listing Prices in California, USA

• Kaggle dataset: US Real Estate Dataset
• Features: Contains millions of real estate records and supports export in CSV and JSON formats.

Example 2: User Behavior Analysis on an Online Education Platform

• Data source: User logs from a well - known online education platform.
• Analysis dimensions: User registration, login, course purchase, and other behavior paths.

✨ Features

MCP Server Functions

• Core functions: Supports data import, cleaning, analysis, and visualization.
• Scalability: Provides a plugin mechanism to support the integration of multiple data sources and analysis tools.

Development Configuration

"mcpServers": {
  "mcp-server-ds": {
    "command": "uv",
    "args": [
      "--directory",
      "/Users/username/src/mcp-server-ds",
      "run",
      "mcp-server-ds"
    ]
  }
}

🔧 Technical Details

Build and Release

1. Synchronize Dependencies

   uv sync
   

2. Build the Release Version

   uv build
   

   Source code and wheel distribution files will be generated in the dist/ folder.

3. Publish to PyPI

   uv publish
   

🤝 Contribution

Community contributions are welcome! Whether it's fixing issues, adding features, or improving documentation, your help will make this project better.

Report Issues

If you encounter a bug or have any suggestions, please submit them in the issues section. Please include:

• Steps to reproduce (if applicable).
• A comparison between the expected and actual behavior.
• Screenshots or error logs (if relevant).

📄 License

This project is open - sourced under the MIT License. Please refer to the LICENSE file for specific details.

💬 Contact Us

Have questions or feedback? Please submit an issue or contact the maintainers via email. Let's make this project even more awesome together!

About

This is an open - source project maintained by ReadingPlus.AI LLC, and community contributions are welcome.