MCP Server for Data Exploration

MCP Server for Data Exploration

Interactive Data Exploration and Analysis via Model Context Protocol

View on GitHub
503
Stars
63
Forks
503
Watchers
8
Issues
MCP Server for Data Exploration enables users to interactively explore and analyze complex datasets using prompt templates and tools within the Model Context Protocol ecosystem. Designed as a personal Data Scientist assistant, it facilitates the conversion of raw data into actionable insights without manual intervention. Users can load CSV datasets, run Python scripts, and generate tailored reports and visualizations through an AI-powered interface. The server integrates directly with Claude Desktop, supporting rapid setup and seamless usage for both macOS and Windows.

Key Features

Interactive data exploration via MCP
CSV file loading and management
Automated execution of Python scripts
Prompt templates for streamlined analysis
Personal data scientist assistant functionality
Customizable for macOS and Windows environments
Integration with Claude Desktop application
Automated report and visualization generation
Development and publishing workflow support
Support for large-scale datasets

Use Cases

Analyzing real estate market trends from large datasets
Exploring weather patterns and climate statistics
Generating automated insight reports for business analytics
Rapid prototyping of data science workflows
Creating custom visualizations for data-driven presentations
Interactive session-based data exploration for non-technical users
Loading and preprocessing CSV datasets for analysis
Automating data summary and trend extraction
Supporting educational data analysis projects
Streamlining workflow for data-driven decision making

README

MCP Server for 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

  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

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

Case 2: Weather in London

📦 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)

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

Published Servers

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

🛠️ Development

Building and Publishing

  1. Sync Dependencies

    bash
    uv sync

  2. Build Distributions

    bash
    uv build

    Generates source and wheel distributions in the dist/ directory.

  3. Publish to PyPI

    bash
    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.

Star History

Star History Chart

Repository Owner

reading-plus-ai

Repository Details

Language Python
Default Branch main
Size 45 KB
Contributors 2
License MIT License
MCP Verified Nov 12, 2025

Programming Languages

Python
100%

Tags

data analysis data visualization Claude Desktop Integration

Join Our Newsletter

Stay updated with the latest AI tools, news, and offers by subscribing to our weekly newsletter.

We respect your privacy. Unsubscribe at any time.

Related MCPs

Discover similar Model Context Protocol servers

  • Dune Analytics MCP Server

    Dune Analytics MCP Server

    Bridge Dune Analytics data seamlessly to AI agents via a Model Context Protocol server.

    Dune Analytics MCP Server provides a Model Context Protocol-compliant server that allows AI agents to access and interact with Dune Analytics data. It exposes tools to fetch the latest results of Dune queries and execute arbitrary queries, returning results in CSV format. The server is easily deployable, supports integration with platforms like Claude Desktop, and requires a Dune Analytics API key for operation.

    • ⭐ 31
    • MCP
    • kukapay/dune-analytics-mcp
  • MCP Manager for Claude Desktop

    MCP Manager for Claude Desktop

    A desktop app to manage Model Context Protocol (MCP) servers for Claude Desktop on MacOS.

    MCP Manager for Claude Desktop provides a user-friendly interface to manage Model Context Protocol (MCP) servers, enabling Claude to access private data, APIs, and local or remote services securely from a MacOS desktop. It facilitates rapid configuration and integration with a wide variety of MCP servers, including productivity tools, databases, and web APIs. The app runs locally to ensure data privacy and streamlines connecting Claude to new sources through simple environment and server settings management.

    • ⭐ 270
    • MCP
    • zueai/mcp-manager
  • MCP Server for Deep Research

    MCP Server for Deep Research

    Transform research questions into comprehensive, well-cited reports using an advanced research assistant.

    MCP Server for Deep Research provides an end-to-end workflow for conducting in-depth research on complex topics. It elaborates on research questions, generates subquestions, integrates web search, analyzes and synthesizes retrieved content, and generates structured, well-cited research reports. The tool integrates with Claude Desktop and leverages prompt templates tailored for comprehensive research tasks.

    • ⭐ 187
    • MCP
    • reading-plus-ai/mcp-server-deep-research
  • Netwrix Access Analyzer MCP Server

    Netwrix Access Analyzer MCP Server

    An MCP server integrating enterprise access analysis tools with Claude Desktop.

    Netwrix Access Analyzer MCP Server provides a Model Context Protocol (MCP) server designed for integration with Claude Desktop. It enables secure and dynamic access to Active Directory, SQL Server databases, and file system data for auditing and analysis. The server offers a range of tools for effective group membership discovery, permission analysis, sensitive data detection, and more. It streamlines enterprise security assessments by standardizing context-sharing for AI-driven solutions.

    • ⭐ 1
    • MCP
    • netwrix/mcp-server-naa
  • OpenAI MCP Server

    OpenAI MCP Server

    Bridge between Claude and OpenAI models using the MCP protocol.

    OpenAI MCP Server enables direct querying of OpenAI language models from Claude via the Model Context Protocol (MCP). It provides a configurable Python server that exposes OpenAI APIs as MCP endpoints. The server is designed for seamless integration, requiring simple configuration updates and environment variable setup. Automated testing is supported to verify connectivity and response from the OpenAI API.

    • ⭐ 77
    • MCP
    • pierrebrunelle/mcp-server-openai
  • Codex MCP Server

    Codex MCP Server

    An MCP-compatible server delivering enriched blockchain data for AI models.

    Codex MCP Server implements the Model Context Protocol to provide enriched blockchain data from Codex. It is compatible with MCP clients such as Claude Desktop and Claude CLI, allowing seamless integration in AI workflows that require blockchain context. Users can run the server locally or via npx, and configure it for various MCP-compatible tools using their Codex API key.

    • ⭐ 20
    • MCP
    • Codex-Data/codex-mcp
    • View all Alternatives

    Didn't find tool you were looking for?

    Be as detailed as possible for better results