MCP Server is a versatile tool designed for interactive data exploration. Your personal Data Scientist assistant, turning complex datasets into clear, actionable insights. 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 C
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1# MCP Server for Data Exploration23MCP Server is a versatile tool designed for interactive data exploration.45Your personal Data Scientist assistant, turning complex datasets into clear, actionable insights.67<a href="https://glama.ai/mcp/servers/hwm8j9c422"><img width="380" height="200" src="https://glama.ai/mcp/servers/hwm8j9c422/badge" alt="mcp-server-data-exploration MCP server" /></a>89## 🚀 Try it Out10111. **Download Claude Desktop**12 - Get it [here](https://claude.ai/download)13142. **Install and Set Up**15 - On macOS, run the following command in your terminal:16 ```bash17 python setup.py18 ```19203. **Load Templates and Tools**21 - Once the server is running, wait for the prompt template and tools to load in Claude Desktop.22234. **Start Exploring**24 - Select the explore-data prompt template from MCP25 - Begin your conversation by providing the required inputs:26 - `csv_path`: Local path to the CSV file27 - `topic`: The topic of exploration (e.g., "Weather patterns in New York" or "Housing prices in California")2829## Examples3031These are examples of how you can use MCP Server to explore data without any human intervention.3233### Case 1: California Real Estate Listing Prices34- Kaggle Dataset: [USA Real Estate Dataset](https://www.kaggle.com/datasets/ahmedshahriarsakib/usa-real-estate-dataset)35- Size: 2,226,382 entries (178.9 MB)36- Topic: Housing price trends in California3738[](https://www.youtube.com/watch?v=RQZbeuaH9Ys)39- [Data Exploration Summary](https://claude.site/artifacts/058a1593-7a14-40df-bf09-28b8c4531137)4041### Case 2: Weather in London42- Kaggle Dataset: [2M+ Daily Weather History UK](https://www.kaggle.com/datasets/jakewright/2m-daily-weather-history-uk/data)43- Size: 2,836,186 entries (169.3 MB)44- Topic: Weather in London45- Report: [View Report](https://claude.site/artifacts/601ea9c1-a00e-472e-9271-3efafb8edede)46- Graphs:47 - [London Temperature Trends](https://claude.site/artifacts/9a25bc1e-d0cf-498a-833c-5179547ee268)48<img width="1622" alt="Screenshot 2024-12-09 at 12 48 56 AM" src="https://github.com/user-attachments/assets/9e70fe97-8af7-4221-b1e7-00197c88bb47">4950 - [Temperature-Humidity Relationship by Season](https://claude.site/artifacts/32a3371c-698d-48e3-b94e-f7e88ce8093d)51<img width="1623" alt="Screenshot 2024-12-09 at 12 47 54 AM" src="https://github.com/user-attachments/assets/f4ac60a8-30e3-4b10-b296-ba412c2922fa">5253 - [Wind Direction Pattern by Season](https://claude.site/artifacts/32a3371c-698d-48e3-b94e-f7e88ce8093d)54<img width="1622" alt="Screenshot 2024-12-09 at 12 47 00 AM" src="https://github.com/user-attachments/assets/2db01054-f948-4d2e-ba39-8de8fa59f83d">5556## 📦 Components5758### Prompts59- **explore-data**: Tailored for data exploration tasks6061### Tools621. **load-csv**63 - Function: Loads a CSV file into a DataFrame64 - Arguments:65 - `csv_path` (string, required): Path to the CSV file66 - `df_name` (string, optional): Name for the DataFrame. Defaults to df_1, df_2, etc., if not provided67682. **run-script**69 - Function: Executes a Python script70 - Arguments:71 - `script` (string, required): The script to execute7273## ⚙️ Modifying the Server7475### Claude Desktop Configurations76- macOS: `~/Library/Application\ Support/Claude/claude_desktop_config.json`77- Windows: `%APPDATA%/Claude/claude_desktop_config.json`7879### Development (Unpublished Servers)80```json81"mcpServers": {82 "mcp-server-ds": {83 "command": "uv",84 "args": [85 "--directory",86 "/Users/username/src/mcp-server-ds",87 "run",88 "mcp-server-ds"89 ]90 }91}92```9394### Published Servers95```json96"mcpServers": {97 "mcp-server-ds": {98 "command": "uvx",99 "args": [100 "mcp-server-ds"101 ]102 }103}104```105106## 🛠️ Development107108### Building and Publishing1091. **Sync Dependencies**110 ```bash111 uv sync112 ```1131142. **Build Distributions**115 ```bash116 uv build117 ```118 Generates source and wheel distributions in the dist/ directory.1191203. **Publish to PyPI**121 ```bash122 uv publish123 ```124125## 🤝 Contributing126127Contributions are welcome! Whether you're fixing bugs, adding features, or improving documentation, your help makes this project better.128129### Reporting Issues130If you encounter bugs or have suggestions, open an issue in the issues section. Include:131- Steps to reproduce (if applicable)132- Expected vs. actual behavior133- Screenshots or error logs (if relevant)134135## 📜 License136137This project is licensed under the MIT License.138See the LICENSE file for details.139140## 💬 Get in Touch141142Questions? Feedback? Open an issue or reach out to the maintainers. Let's make this project awesome together!143144## About145146This is an open source project run by [ReadingPlus.AI LLC](https://readingplus.ai). and open to contributions from the entire community.147
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