MCP Server for Data Exploration

🚀 Try it Out

1. Download Claude Desktop - Get it here
2. Install and Set Up - On macOS, run the following command in your terminal: bash 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# Case 1: California Real Estate Listing Prices

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

Case 2: Weather in London

• Kaggle Dataset: 2M+ Daily Weather History UK
• Size: 2,836,186 entries (169.3 MB)
• Topic: Weather in London

📦 Components# Prompts

• explore-data: Tailored for data exploration tasks\n\n### Tools

1. load-csv - Function: Loads a CSV file into a DataFrame
2. run-script - Function: Executes a Python script

⚙️ Modifying the Server# Claude Desktop Configurations

• macOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json
• Windows: %APPDATA%/Claude/claude_desktop_config.json

📜 License

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