Quick Data for Windows MCP Server

Quick Data for Windows MCP

Windows-optimized fork of disler/quick-data-mcp for Claude Desktop

Universal data analytics capabilities for JSON/CSV files - now working seamlessly on Windows!

🚀 What This Does

This is a Windows-optimized fork of the excellent quick-data-mcp project by @disler.

The original project provides powerful MCP server capabilities for data analytics, and this fork specifically addresses Windows compatibility issues and Claude Desktop integration challenges.

**This is my first ever try at this. Please feel free to give suggestions and or criticisms. I loved the quick data mcp for claude code. There was nothing available like it for claude desktop so with the help of claude code we now have it.

Key Improvements Over Original:

• ✅ Windows Path Handling - Proper Windows file path support
• ✅ Claude Desktop Ready - Pre-configured batch launchers and setup
• ✅ Dependency Management - Automated installation scripts
• ✅ Troubleshooting - Complete guides for common Windows issues

✨ Key Features

• Universal Data Support - Works with any CSV/JSON file structure
• Windows Path Optimization - Handles Windows file paths correctly
• Claude Desktop Integration - Pre-configured for seamless setup
• Automatic Schema Discovery - Analyzes your data and suggests analyses
• 32+ Analytics Tools - From basic stats to advanced ML features
• Interactive Visualizations - Create charts with Plotly
• Memory Management - Optimized for large datasets

🏁 Quick Start for Windows

Prerequisites

• Windows 10/11
• Python 3.9+ (Download here)
• Claude Desktop (Download here)

Installation

1. Download or clone this repository:

   git clone https://github.com/Beaulewis1977/quick-data-for-windows-mcp.git
   cd quick-data-for-windows-mcp
   

2. Install dependencies:

   install_dependencies.bat
   

3. Test the server:

   test_server.bat
   

4. Configure Claude Desktop:

   Copy the fixed configuration to Claude Desktop:

   copy claude_desktop_config_fixed.json "%APPDATA%\Claude\claude_desktop_config.json"
   

   IMPORTANT: Edit the config file and update the cwd path to your actual installation directory.

5. Restart Claude Desktop

🚨 Having Issues?

If you see ModuleNotFoundError: No module named 'mcp', check the TROUBLESHOOTING.md guide.

💻 Usage in Claude Desktop

Once configured, start with this slash command in Claude Desktop:

/quick-data-windows

Loading Your Data

Load my sales data: C:\Users\YourName\Documents\sales_data.csv as "sales"

Basic Analysis

Show me correlations in the sales dataset
Create a bar chart of sales by region
Analyze the distribution of revenue column

Advanced Analytics

Validate data quality for sales dataset
Compare sales dataset with marketing dataset
Generate dashboard with revenue trends and regional breakdown

🔧 Available Tools

Dataset Management

• load_dataset - Load CSV/JSON files with automatic schema discovery
• list_loaded_datasets - View all datasets in memory
• get_dataset_info - Get detailed dataset information
• clear_dataset / clear_all_datasets - Memory management

Core Analytics

• segment_by_column - Analyze categorical data segments
• find_correlations - Discover relationships between variables
• analyze_distributions - Statistical distribution analysis
• detect_outliers - Identify data anomalies
• suggest_analysis - AI-powered analysis recommendations

Visualization

• create_chart - Generate interactive charts (bar, scatter, line, histogram)
• generate_dashboard - Multi-chart dashboards

Advanced Analytics

• validate_data_quality - Comprehensive data quality scoring
• compare_datasets - Multi-dataset comparison analysis
• merge_datasets - Join datasets with flexible strategies
• calculate_feature_importance - ML feature importance analysis
• export_insights - Export results in multiple formats

📂 Supported File Formats

CSV Files

• Standard CSV with headers
• Custom delimiters automatically detected
• UTF-8 encoding support
• Large file handling with sampling options

JSON Files

• Flat JSON structures
• Nested JSON (automat