Overview

The Data Exploration MCP Server transforms complex datasets into actionable insights through automated analysis capabilities.

Core Features

Data Loading & Analysis

• Handles large CSV datasets (2M+ entries demonstrated)
• Supports comprehensive data exploration tasks
• Provides automated statistical analysis and insights
• Integrates with Kaggle datasets seamlessly

Configuration Setup

For development:

{
  "mcpServers": {
    "mcp-server-ds": {
      "command": "uv",
      "args": [
        "--directory",
        "/path/to/mcp-server-ds",
        "run",
        "mcp-server-ds"
      ]
    }
  }
}

For production:

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

Technical Details

Dependencies

• Python 3.10+
• Key libraries: numpy, pandas, scikit-learn, scipy, statsmodels
• Supports both macOS and Windows environments

Development Tools

uv sync        # Update dependencies
uv build       # Create distributions
uv publish     # Deploy package

Use Cases

Real Estate Analysis

• Dataset: USA Real Estate (2.2M entries)
• Focus: Housing price trends analysis

Weather Pattern Analysis

• Dataset: UK Weather History (2.8M entries)
• Focus: London weather patterns

The server operates under MIT License and is actively maintained by ReadingPlus.AI LLC.