Stats Compass MCP - Data Analysis Tools for AI Agents

50+ Data Tools
For Your
AI Assistant.

Stats Compass MCP connects Claude, ChatGPT, and VS Code to powerful data analysis tools via the Model Context Protocol. Load CSVs, create visualizations, transform data, and export results - all through natural conversation.

Works with

Claude Desktop VS Code Cursor ChatGPT

Get Started

Data analysis through natural conversation

Load Data

CSV, Excel, JSON, Parquet

Visualize

Charts, histograms, heatmaps

Transform

Filter, merge, pivot, aggregate

Export

CSV, Excel, charts as images

What is MCP?

The Model Context Protocol (MCP) is an open standard that lets AI assistants connect to external tools and data sources. Stats Compass MCP exposes 50+ data analysis tools that Claude, ChatGPT, and other AI assistants can use directly - no coding required from you.

50+ Tools at Your AI's Fingertips

Data Loading

Load CSV, Excel, JSON, and Parquet files. Get instant summaries, column info, and data type detection. Works with local files or URLs.

Visualization

Create line charts, bar charts, scatter plots, histograms, box plots, heatmaps, and more. Export as PNG or SVG.

Data Transformation

Filter rows, select columns, merge datasets, pivot tables, group and aggregate, handle missing values, and more.

Analyse Your Google Sheets

Ask your AI assistant to analyse a spreadsheet and pick it from your Drive — no downloading, no re-uploading, no hunting for links. Results can be written straight back to a new sheet.

1

Ask

Tell your assistant you want to analyse a Google Sheet. It hands you a link to Google's own file picker.

2

Pick

Browse your own spreadsheets and choose one or several. Every tab loads as a separate dataset, ready for charts, statistics and models.

3

Save back

Write cleaned data, summaries or predictions back to Google Sheets when you're done.

Try it


                    "Use stats compass to let me pick a churn dataset from Google Sheets, then build a model to predict customer churn"

Stats Compass can only open the spreadsheets you hand it in the picker — and that limit is enforced by Google, not just promised by us. It cannot list, search or open anything else in your Drive. You can disconnect at any time by asking your assistant, or from your Google Account connections. See our Privacy Policy for how this data is handled.

See It In Action

Creating visualizations with Claude

Data analysis in VS Code

How to Use

Start your message with "Use stats compass to..." — this tells the AI to use Stats Compass tools instead of writing code or using shell commands.

# Load data Use stats compass to load ~/Downloads/sales.csv and show me a summary Use stats compass to find my CSV files in the Downloads folder # Explore and clean Use stats compass to run EDA on the dataset Use stats compass to clean the data and handle missing values # Analyse Use stats compass to test if scores differ significantly between group A and B Use stats compass to create a histogram of the price column # Machine learning Use stats compass to train a classification model to predict churn

Without this prefix, some AI clients may write Python code or use shell commands instead of the Stats Compass tools — especially for tasks like finding files on your machine.

Get Started in 2 Minutes

Option 1: Claude

Add Stats Compass as a custom connector on claude.ai:

1

Open Connectors

Click Customize in the sidebar, then select Connectors.

2

Add a custom connector

Click + and enter:

Name: Stats Compass
URL: https://mcp.statscompass.io/mcp

3

Log in and start analysing

Sign in with Google or email when prompted. You're ready to go.

Option 2: VS Code / Cursor

Install the extension from the Marketplace — no Python or dependencies needed:

VS Code Marketplace Open VSX (Cursor)

Option 3: ChatGPT

Connect the hosted server directly from ChatGPT settings. Requires a ChatGPT paid account (Plus or above).

1

Enable developer mode

Go to Settings → Apps → Advanced settings and enable developer mode.

2

Create a new app

Go to Apps → Create app. Set the MCP Server URL to https://mcp.statscompass.io/mcp and authentication to OAuth.

3

Authorise and log in

Grant access, log in with Google or email, and you'll be redirected back automatically.

Option 4: Claude Desktop

Add Stats Compass from the connector store — no local setup required:

Claude Connector Store

Open Source / Self-Hosted

Run Stats Compass locally with unlimited free usage. Requires Python 3.11+ and UV.

Claude Code (CLI):

claude mcp add stats-compass -- uvx stats-compass-mcp run

Claude Desktop (manual config):

{
  "mcpServers": {
    "stats-compass": {
      "command": "uvx",
      "args": ["stats-compass-mcp"]
    }
  }
}

Full documentation on GitHub