mcp-server-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.

<a href="https://glama.ai/mcp/servers/hwm8j9c422"></a>

1. Download Claude Desktop

• Get it here

1. Install and Set Up

• On macOS, run the following command in your terminal:

   python setup.py

1. Load Templates and Tools

• Once the server is running, wait for the prompt template and tools to load in Claude Desktop.

1. 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")

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

• Kaggle Dataset: USA Real Estate Dataset
• Size: 2,226,382 entries (178.9 MB)
• Topic: Housing price trends in California

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

• Data Exploration Summary

• Kaggle Dataset: 2M+ Daily Weather History UK
• Size: 2,836,186 entries (169.3 MB)
• Topic: Weather in London
• Report: View Report
• Graphs:
• [London Temperature Trends](https://claude.sit