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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 ChatGPT
Stats Compass MCP demo with Claude

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.

See It In Action

Data visualization demo

Creating visualizations with Claude

VS Code integration demo

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 Desktop

Add to your claude_desktop_config.json:

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

Option 2: VS Code

Add to your VS Code settings.json:

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

Option 3: Claude Code (CLI)

Run this command in your terminal:

claude mcp add stats-compass -- uvx stats-compass-mcp run
Full Documentation →