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

Connects your AI assistant to Shopify, Stripe, and CSV data for analytics and basic forecasting, so an ecommerce or small business owner can ask about sales trends or revenue without pulling data into a spreadsheet first. The project is mid-rewrite and labeled beta with known rough edges, so treat answers as a starting point and check anything you plan to act on. Worth watching as the v2 rebuild matures.

Best for

Best for
Ecommerce owners who want quick sales reads across Shopify, Stripe, and CSVs

Use cases

  • Ask about a sales trend across Shopify and Stripe data
  • Get a basic forecast from historical revenue figures
  • Pull numbers from a CSV export into a conversation without a spreadsheet
  • Combine data from multiple sources for a quick business snapshot

How to use

Tools exposed

  • create_analysis
  • build_status
  • run_analysis
  • modify_analysis
  • module_request
  • discover_tools
  • tools_info
  • tools_schema

Tested with

Claude Desktop, Cursor, Windsurf, Claude Code

Example client config

{\n  "mcpServers": {\n    "mcpanalytics": {\n      "command": "npx",\n      "args": ["-y", "@mcp-analytics/mcp-analytics"],\n      "env": {\n        "MCP_ANALYTICS_API_KEY": "mcp_your_key_here"\n      }\n    }\n  }\n}

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
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