MCP Server for Data Exploration is an AI-powered data analysis tool that automatically explores CSV datasets to uncover patterns, trends, and actionable insights. It combines Python-powered analytics with intelligent prompting to function as a personal data scientist assistant. Key features of MCP Server for Data Exploration: - Loads large CSV files (millions of rows) into pandas DataFrames for analysis - Generates comprehensive data exploration reports with statistical summaries - Creates data visualizations including charts and graphs (e.g., temperature trends, relationship plots, directional patterns) - Supports custom exploration topics based on dataset content (real estate trends, weather patterns, etc.) - Designed for zero-intervention analysis where AI autonomously investigates data and produces insights

MCP Server for Data Exploration

MCP Server is a versatile tool designed for interactive data exploration.

Your personal Data Scientist assistant, turning complex datasets into clear, actionable insights.

🚀 Try it Out

1. Download Claude Desktop - Get it here

2. Install and Set Up - On macOS, run the following command in your terminal:

   python setup.py
   

3. Load Templates and Tools - Once the server is running, wait for the prompt template and tools to load in Claude Desktop.

4. Start Exploring - Select the explore-data prompt template from MCP - Begin your conversation by providing the required inputs: - csv_path: Local path to the CSV file - topic: The topic of exploration (e.g., "Weather patterns in New York" or "Housing prices in California")

Examples

These are examples of how you can use MCP Server to explore data without any human intervention.

Case 1: California Real Estate Listing Prices

[](https://www.youtube.com/watch?v=RQZbeuaH9Ys)

Case 2: Weather in London

- Temperature-Humidity Relationship by Season

- Wind Direction Pattern by Season

📦 Components

Prompts

Tools

2. run-script - Function: Executes a Python script - Arguments: - script (string, required): The script to execute

⚙️ Modifying the Server

Claude Desktop Configurations

Development (Unpublished Servers)

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

Published Servers

"mcpServers": {
  "mcp-server-ds": {
    "command": "uvx",
    "args": [
      "mcp-server-ds"
    ]
  }
}

🛠️ Development

Building and Publishing

   uv sync
   

2. Build Distributions

   uv build
   

3. Publish to PyPI

   uv publish
   

🤝 Contributing

Contributions are welcome! Whether you're fixing bugs, adding features, or improving documentation, your help makes this project better.

Reporting Issues

📜 License

This project is licensed under the MIT License. See the LICENSE file for details.

💬 Get in Touch

Questions? Feedback? Open an issue or reach out to the maintainers. Let's make this project awesome together!

About

This is an open source project run by ReadingPlus.AI LLC. and open to contributions from the entire community.