Enterprise DNA
M MCP Servers Developer low

embeddedlayers/mcp-analytics

by Various

[BETA — v2 rebuild] MCP server for data analytics — Shopify, Stripe, CSV, forecasting, ML. Works in Claude, Cursor, and any MCP client. Expect rough edges while the rewrite lands.

E

MCP

embeddedlayers/mcp-analytics

Added 1 June 2026

#ai-agents #ai-tools #analytics #anthropic #business-intelligence #claude #csv-analysis #cursor

Overview

A Model Context Protocol server that connects analytics sources like Shopify, Stripe, and CSV files to MCP-compatible clients such as Claude and Cursor. It provides forecasting and basic ML capabilities, though it is currently in a v2 beta rebuild with known instability.

Best for

Best for
Developers building AI-augmented analytics tools who want to experiment with MCP-connected data sources.

Use cases

  • Query Shopify or Stripe analytics through natural language in Claude
  • Run forecasting models on uploaded CSV data via an MCP client
  • Integrate analytics pipelines into Cursor workflows

Notes

A Model Context Protocol server that connects analytics sources like Shopify, Stripe, and CSV files to MCP-compatible clients such as Claude and Cursor. It provides forecasting and basic ML capabilities, though it is currently in a v2 beta rebuild with known instability.

6 stars on GitHub. Last updated 2026-05-09. Licensed MIT.

Use cases

  • Query Shopify or Stripe analytics through natural language in Claude
  • Run forecasting models on uploaded CSV data via an MCP client
  • Integrate analytics pipelines into Cursor workflows

Pros

  • Supports multiple data sources including Shopify, Stripe, and CSV
  • Works with any MCP client, not tied to a single platform
  • Offers forecasting and machine learning out of the box

Cons

  • Beta software with rough edges during the v2 rewrite
  • Limited to 6 stars, indicating small community and maturity
  • Requires running a local MCP server setup

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Supports multiple data sources including Shopify, Stripe, and CSV
  • Works with any MCP client, not tied to a single platform
  • Offers forecasting and machine learning out of the box

Cons

  • Beta software with rough edges during the v2 rewrite
  • Limited to 6 stars, indicating small community and maturity
  • Requires running a local MCP server setup