ai.mcpanalytics/analytics

Analytics for business data: upload CSV or connect GA4/GSC, run ML/stats, get HTML reports.

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# MCP Analytics Suite

**MCP server for data analytics** — Shopify, Stripe, WooCommerce, eBay, CSV files, and more. Run statistical analysis, forecasting, and machine learning directly in Claude or Cursor. Ask a question, upload your data, get an interactive report.

> **This is the public listing and documentation repository.** Issues, feature requests, and examples live here. The API server code is maintained separately.

[Sample Reports →](https://mcpanalytics.ai/sample-reports.html) • [Try Demo →](https://mcpanalytics.ai/demo.html) • [Pricing →](https://mcpanalytics.ai/pricing.html)

<div align="center">

[![Version](https://img.shields.io/badge/version-1.0.3-blue)](https://mcpanalytics.ai)
[![Platform](https://img.shields.io/badge/Platform-MCP_Compatible-green)](https://mcpanalytics.ai/tools)
[![License](https://img.shields.io/badge/License-Commercial-orange)](https://mcpanalytics.ai/terms)
[![Docs](https://img.shields.io/badge/Docs-mcpanalytics.ai-brightgreen)](https://mcpanalytics.ai/docs)
[![Auth](https://img.shields.io/badge/Auth-OAuth_2.0-purple)](https://mcpanalytics.ai/oauth-setup)

**Every analysis starts with a question. We handle the rest.**

[🚀 Quick Start](#quick-start) • [🔄 How It Works](#how-it-works) • [🛠️ MCP Tools](#mcp-tools) • [🛡️ Security](#security--compliance) • [📖 Documentation](#documentation)

</div>

---

## The Formula

<div align="center">
  <h3>Question + Dataset = Analytics</h3>
  <p>Transform business questions into actionable insights through intelligent discovery</p>
</div>

## Overview

MCP Analytics Suite is an intelligent analytics platform that understands what you want to analyze and automatically selects the right approach. No statistics degree required — just describe your business question and let our AI-powered discovery handle the complexity.

Upload any CSV — Shopify orders, Stripe exports, WooCommerce reports, eBay data, ad platform reports, or any tabular data. Connect live data from **Google Analytics 4** and **Google Search Console** via native connectors. Run regression, forecasting, clustering, A/B testing, customer LTV, churn prediction, and hundreds of other statistical methods. Get back interactive HTML reports with charts and AI-written insights.

### Why MCP Analytics?

- **Intelligent Discovery**: Automatically finds the right analytical approach
- **Complete Workflow**: From question to insight in one seamless flow
- **Zero Setup**: Cloud-based processing, works instantly
- **Enterprise Security**: OAuth2, encryption, isolated processing
- **Comprehensive Suite**: Full range of analytical capabilities
- **Interactive Reports**: Shareable visualizations with AI insights

## Quick Start

### Installation

##### For Claude Desktop

Add to your config file:
- **macOS**: `~/Library/Application Support/Claude/claude_desktop_config.json`
- **Windows**: `%APPDATA%\Claude\claude_desktop_config.json`

```json
{
  "mcpServers": {
    "mcp-analytics": {
      "command": "npx",
      "args": ["-y", "mcp-remote@latest", "https://api.mcpanalytics.ai/auth0"]
    }
  }
}
```

##### For Cursor

Add to `.cursor/config.json` in your project root:

```json
{
  "mcpServers": {
    "mcp-analytics": {
      "command": "npx",
      "args": ["-y", "mcp-remote@latest", "https://api.mcpanalytics.ai/auth0"]
    }
  }
}
```

##### For VS Code (Continue Extension)

Add to your Continue config at `~/.continue/config.json`:

```json
{
  "models": [{
    "provider": "anthropic",
    "model": "claude-3-5-sonnet",
    "mcpServers": {
      "mcp-analytics": {
        "command": "npx",
        "args": ["-y", "mcp-remote@latest", "https://api.mcpanalytics.ai/auth0"]
      }
    }
  }]
}
```

##### For Claude Code

Add to `claude_code_config.json`:

```json
{
  "mcpServers": {
    "mcp-analytics": {
      "command": "npx",
      "args": ["-y", "mcp-remote@latest", "https://api.mcpanalytics.ai/auth0"]
    }
  }
}
```

## How It Works

### The MCP Analytics Workflow

1. **Ask Your Question** - Describe what you want to analyze in natural language
2. **Intelligent Discovery** - `tools.discover` finds the right analytical approach
3. **Data Upload** - `datasets.upload` securely processes your data
4. **Automated Analysis** - `tools.run` executes with optimal configuration
5. **Interactive Results** - `reports.view` delivers shareable insights

```
User: "What drives our sales growth?"
MCP Analytics:
  → Discovers regression and correlation methods
  → Configures analysis for your data structure
  → Runs multiple analytical approaches
  → Returns comprehensive report with insights
```

## MCP Tools

The platform provides a complete suite of MCP tools for end-to-end analytics:

### Core Analytics Tools
- **`discover_tools`** - Natural language tool discovery (5-signal semantic search)
- **`tools_run`** - Execute an analysis module on your data
- **`tools_info`** - Get tool documentation and schema
- **`tools_schema`** - Inspect column requirements for a tool

### Data Management
- **`da