MCP Servers
embeddedlayers/mcp-analytics
[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.
Our verdict
We have not reviewed embeddedlayers/mcp-analytics yet
No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.
From the listing
About embeddedlayers/mcp-analytics
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
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
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.
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
Key facts
What we have checked
Not checked yet. Dated facts such as prices, releases and repository activity appear here once we have confirmed them from a source.
How to use
How to set it up
As the listing publishes it. We have not run this install.
Tools exposed
create_analysisbuild_statusrun_analysismodify_analysismodule_requestdiscover_toolstools_infotools_schema
Clients the listing names (not checked here)
Claude Desktop, Claude Code, Cursor, Windsurf
Example client config
{
"mcpServers": {
"mcpanalytics": {
"command": "npx",
"args": [
"-y",
"@mcp-analytics/mcp-analytics"
],
"env": {
"MCP_ANALYTICS_API_KEY": "mcp_your_key_here"
}
}
}
}Install
Add embeddedlayers/mcp-analytics to your client
Our lab has not run this server yet. "Config checked" on a client means the recipe matches that client's documented config format; it does not mean we ran it.
Claude Code
Config checkedRun in your terminal (remote server)
claude mcp add --transport http embeddedlayers-mcp-analytics https://api.mcpanalytics.ai/mcp/api-key --header 'X-API-Key: YOUR_EMBEDDEDLAYERS_MCP_ANALYTICS_X_API_KEY'Needs EMBEDDEDLAYERS_MCP_ANALYTICS_X_API_KEY: replace each YOUR_ value with your own.
Cursor
Config checkedAdd to .cursor/mcp.json (remote server)
{
"mcpServers": {
"embeddedlayers-mcp-analytics": {
"url": "https://api.mcpanalytics.ai/mcp/api-key",
"headers": {
"X-API-Key": "YOUR_EMBEDDEDLAYERS_MCP_ANALYTICS_X_API_KEY"
}
}
}
}Needs EMBEDDEDLAYERS_MCP_ANALYTICS_X_API_KEY: replace each YOUR_ value with your own.
VS Code
Config checkedAdd to .vscode/mcp.json (remote server)
{
"inputs": [
{
"type": "promptString",
"id": "embeddedlayers-mcp-analytics-x-api-key",
"description": "Your MCP Analytics API key, from https://account.mcpanalytics.ai",
"password": true
}
],
"servers": {
"embeddedlayers-mcp-analytics": {
"type": "http",
"url": "https://api.mcpanalytics.ai/mcp/api-key",
"headers": {
"X-API-Key": "${input:embeddedlayers-mcp-analytics-x-api-key}"
}
}
}
}Needs EMBEDDEDLAYERS_MCP_ANALYTICS_X_API_KEY: replace each YOUR_ value with your own.
Codex
Config checkedAdd to ~/.codex/config.toml (remote server)
[mcp_servers.embeddedlayers-mcp-analytics]
url = "https://api.mcpanalytics.ai/mcp/api-key"
env_http_headers = { "X-API-Key" = "EMBEDDEDLAYERS_MCP_ANALYTICS_X_API_KEY" }Needs EMBEDDEDLAYERS_MCP_ANALYTICS_X_API_KEY: replace each YOUR_ value with your own.
- Claude Desktop: Its config file takes local servers only; a remote server is added in the app as a connector.
- ChatGPT: ChatGPT connects only to remote servers that need no API key.
Recipes come from the server's entry in the official MCP registry. Check the package name before you run it, and keep keys out of shared files.
Works with
What embeddedlayers/mcp-analytics connects to
4 clients, each with how we know and when we checked.
| Works with | Type | How we know | Checked |
|---|---|---|---|
| Claude Code | Client | Install recipe matches the client's documented formatRemote server, version 1.0.8Config checked | Claude Code docs |
| Cursor | Client | Install recipe matches the client's documented formatRemote server, version 1.0.8Config checked | Cursor docs |
| VS Code | Client | Install recipe matches the client's documented formatRemote server, version 1.0.8Config checked | VS Code docs |
| Codex | Client | Install recipe matches the client's documented formatRemote server, version 1.0.8Config checked | Codex docs |
Sources
Where this comes from
No sources recorded yet. Each source we check is listed here with the date we checked it.
A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.
Changelog
What changed
No changes recorded yet. Releases, price changes and deprecations appear here, with their dates, once we track them for this record.
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
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