MCP Analytics MCP Server

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 → • Try Demo → • Pricing →

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

🚀 Quick Start • 🔄 How It Works • 🛠️ MCP Tools • 🛡️ Security • 📖 Documentation

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The Formula

Question + Dataset = Analytics

Transform business questions into actionable insights through intelligent discovery

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

{
  "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:

{
  "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:

{
  "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:

{
  "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

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