Happy slice of mcp pizzaMCP.pizza

mcp-server-data-exploration

MCP.Pizza Chef: reading-plus-ai

Point it at a CSV file on your computer and name the topic you care about, and it loads the data, does the analysis in Python, and walks you through what it found with charts and a written summary. The published examples cover a property listings file of over two million rows and years of UK weather history. It is built for Claude Desktop, needs no account, and keeps the file on your machine. There have been no updates since March 2025.

Unmaintained · no updates since March 2025
Data
Spreadsheets

Use This MCP server To

Explore a CSV file without opening a spreadsheet Ask which factors move the numbers most Get charts summarising a big export Find seasonal patterns in a year of records Turn a raw export into a written summary

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.

mcp-server-data-exploration MCP server

🚀 Try it Out

  1. Download Claude Desktop

  2. Install and Set Up

    • On macOS, run the following command in your terminal:
    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

mcp-server-data-exploration FAQ

Which app does this work in?
It is written for Claude Desktop and ships with a guided prompt you pick before you start.
Do I need a key or an account?
No. The file is read from your own computer and the work happens there.
Can I use this to make sense of a big export from my accounting tool?
Yes, as long as you can save it as a CSV file.
How large a file can it handle?
The published examples run to more than two million rows, so ordinary business exports are comfortable.
Does it run code on my machine?
Yes, it executes Python to analyse your file, so only point it at data you are happy for it to open.
Is it still maintained?
There have been no updates since March 2025, so it may need fixing up to run alongside current tools.