Add MCP Analytics — statistical analysis & ML server for CSV, Shopify, Stripe data

[mshors-pdai]

MCP Analytics

Repository: https://github.com/embeddedlayers/mcp-analytics
Website: https://mcpanalytics.ai
npm: @anthropic/mcp-analytics

Description

MCP server that provides 50+ statistical analysis and machine learning tools. Users upload CSV files or connect live data sources (Google Analytics, Search Console, Shopify, Stripe) and run analyses through natural language — the platform semantically matches questions to the right statistical method.

Tools Provided

• datasets_upload — Upload CSV files for analysis
• datasets_list — Browse uploaded datasets with metadata
• discover_tools — Semantic tool discovery (describe what you want to learn)
• tools_run — Execute statistical analysis (returns interactive HTML report)
• reports_list — Browse completed analyses
• connectors_query — Query live data from GA4, GSC, Shopify, Stripe

Analysis Categories

• Regression: Linear, ridge, lasso, elastic net, logistic
• Clustering: K-means, DBSCAN, hierarchical
• Time Series: ARIMA, Prophet, trend decomposition
• Hypothesis Testing: t-test, ANOVA, chi-square, Mann-Whitney, Kruskal-Wallis
• Anomaly Detection: Isolation forest, one-class SVM
• Customer Analytics: RFM segmentation, churn prediction, cohort retention, AOV analysis

Quick Start

{
  "mcpServers": {
    "mcp-analytics": {
      "command": "npx",
      "args": ["@anthropic/mcp-analytics"]
    }
  }
}

Why Include

• Addresses a gap: no existing MCP server provides statistical analysis capabilities
• Works with any tabular data (CSV upload or live connectors)
• Semantic tool discovery means users don't need to know which statistical test to use
• Active development with 50+ deployed analysis modules