MCP Server Data Exploration

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What is mcp-server-data-exploration

mcp-server-data-exploration is an advanced tool developed by ReadingPlus.AI, designed for interactive data exploration. Acting as your personal Data Scientist assistant, it transforms complex datasets into clear, actionable insights without the need for deep technical expertise. By leveraging the Model Context Protocol (MCP), this server allows AI systems to securely connect with various data sources and tools, offering a versatile platform for data analysis and exploration.

How to Use mcp-server-data-exploration

Using mcp-server-data-exploration is straightforward, even for those new to data analysis:

Download and Install Claude Desktop: Begin by installing the Claude Desktop application on your system. This will serve as the interface for interacting with the mcp-server.
Setup the Environment: On macOS, execute the setup script in your terminal to prepare your environment:
```
python setup.py
```
Load Templates and Tools: Once the server is active, await the loading of prompt templates and tools within Claude Desktop.
Start Exploring Data: Select the "explore-data" prompt template from the MCP options. Initiate your exploration by providing necessary inputs such as:
- csv_path: The local path to your CSV file containing the data.
- topic: The subject of your data exploration, such as "Weather patterns in New York" or "Housing prices in California".
Analyze and Interpret Results: With the inputs provided, the server processes the data, offering insightful reports and visualizations that help you understand complex datasets with ease.

Key Features of mcp-server-data-exploration

Interactive Data Exploration: Engage with your data dynamically, leveraging AI-driven insights to uncover trends and patterns.
Secure Connection Protocol: Utilizes the Model Context Protocol (MCP) to ensure secure access and interaction with various data sources, maintaining data integrity and privacy.
User-Friendly Interface: The setup and interaction process is designed to be intuitive, making advanced data exploration accessible to users without technical expertise.
Versatile Data Processing: Capable of handling large datasets, the server can process and analyze extensive data entries efficiently.
Dynamic Reports and Visualizations: Automatically generates comprehensive reports and graphical representations of data, facilitating easier interpretation of complex information.
Flexible Tooling Options: Includes essential tools for loading CSV files and running Python scripts, allowing for tailored data manipulation and analysis.

mcp-server-data-exploration is an indispensable tool for anyone looking to turn data into actionable insights effortlessly. With its robust features and user-friendly design, it serves as a bridge between complex data and meaningful analysis, empowering users to make informed decisions based on data-driven findings.

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

Download Claude Desktop

Get it here

Install and Set Up

On macOS, run the following command in your terminal:

python setup.py

Load Templates and Tools

Once the server is running, wait for the prompt template and tools to load in Claude Desktop.

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 Watch the video
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

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

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)

"mcpServers": {
 "mcp-server-ds": {
 "command": "uv",
 "args": [
 "--directory",
 "/Users/username/src/mcp-server-ds",
 "run",
 "mcp-server-ds"

Published Servers

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

🛠️ Development

Building and Publishing

Sync Dependencies

uv sync

Build Distributions

uv build

Generates source and wheel distributions in the dist/ directory. 3. Publish to PyPI

uv publish

🤝 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:

Steps to reproduce (if applicable)
Expected vs. actual behavior
Screenshots or error logs (if relevant)

📜 License

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

💬 Get in Touch

Questions? Feedback? Open an issue or reach out to the maintainers. Let's make this project awesome together!

About

This is an open source project run by ReadingPlus.AI LLC. and open to contributions from the entire community.

How to Use

To use the mcp-server-data-exploration, follow these steps:

Visit https://github.com/reading-plus-ai/mcp-server-data-explorationhttps://github.com/readin...
Follow the setup instructions to create an account (if required)
Connect the MCP server to your Claude Desktop application
Start using mcp-server-data-exploration capabilities within your Claude conversations

Additional Information

Created

March 12, 2025

Company

reading-plus-ai

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