reading-plus-ai/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.
🚀 Try it Out
1. **Download Claude Desktop**
- Get it here
2. **Install and Set Up**
- On macOS, run the following command in your terminal:
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
- Kaggle Dataset: USA Real Estate Dataset
- Size: 2,226,382 entries (178.9 MB)
- Topic: Housing price trends in California
- Data Exploration Summary
Case 2: Weather in London
- 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
- Temperature-Humidity Relationship by Season
- Wind Direction Pattern by Season
📦 Components
Prompts
- **explore-data**: Tailored for data exploration tasks
Tools
1. **load-csv**
- Function: Loads a CSV file into a DataFrame
- Arguments:
- csv_path (string, required): Path to the CSV file
- df_name (string, optional): Name for the DataFrame. Defaults to df_1, df_2, etc., if not provided
2. **run-script**
- Function: Executes a Python script
- Arguments:
- script (string, required): The script to execute
⚙️ Modifying the Server
Claude Desktop Configurations
- macOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json
- Windows: %APPDATA%/Claude/claude_desktop_config.json
Development (Unpublished Servers)
Published Servers
🛠️ Development
Building and Publishing
1. **Sync Dependencies**
2. **Build Distributions**
Generates source and wheel distributions in the dist/ directory.
3. **Publish to PyPI**
🤝 Contributing
Contributions are welcome! Whether you're fixing bugs, adding features, or improving documentation, your help makes this project better.
Reporting Issues
If you encounter bugs or have suggestions, open an issue in the issues section. Include: