# Laplace MCP | Ecommerce Analytics & Data Setup in Claude and ChatGPT | Laplace

URL: https://www.analytics.laplacetec.com/en/mcp

> Connect Laplace to Claude or ChatGPT over MCP to query sales and contribution profit, and set up product matching, ontology sheet links, lookups, custom formulas, dashboards and alerts by chat. Listed on the official MCP Registry.

AI tool connection (MCP)

# Just tell Claude or ChatGPT — from analysis to data setup

Connect Laplace over MCP and use the AI chat you already have to ask about sales — and to hand off product matching, ontology sheet links, lookups, custom formulas, dashboards and alerts, all in plain words.
[Start for free](https://www.analytics.laplacetec.com/login) [See the setup guide](https://www.analytics-docs.laplacetec.com/guide/mcp/start)
[Listed on the official MCP Registryio.github.laplacetec/ecommerce-analytics](https://registry.modelcontextprotocol.io/?q=laplacetec)

## One request, a finished report.

Ask Claude or ChatGPT the way you'd ask a teammate. The AI pulls what it needs from Laplace and writes it up as a report.
ClaudeContribution profit growth report ShareSample
Me
Reply to Claude
laplace

## It doesn't stop at answers. Manage and set up by chat.

Hand the click-through-the-menus work to the AI. Using the tools Laplace provides, it looks things up, creates and edits for you.

### Analysis

“Which 5 products had the highest contribution profit last month?”
- Sales, contribution profit and ad ROAS
- First vs repeat purchase, purchase cycle, cohorts
- Cross-sell and purchase paths
- Read values from saved dashboards and charts

### Data management

“Match the unmatched products using the mapping sheet in Google Sheets”
- Store listing ↔ base product matching and rules
- Preview a Google Sheets mapping, then apply it
- Ad ↔ product links and ad matching rules
- Change history and restore points

### Ontology

“Attach the influencer sheet and add a group-buy sales column per product”
- Build custom assets from Google Sheets or existing data
- Attach reference tables with LOOKUP
- Add calculated columns with custom formulas
- Aggregate, preview, publish and roll back

### Dashboards & alerts

“Add this week's sales-by-channel chart to my report”
- Create and edit custom dashboard charts and tables
- Restore an earlier dashboard version
- Create, edit and toggle Slack alerts
- Leave memos on charts

## Ontology setup, in a single request.

Attaching a sheet (lookup), adding calculated columns (custom formula), checking the result and publishing — the AI does it step by step. It shows the match rate and a preview first, so you only need to confirm.
ClaudeExample chat · sample data
Attach the "Group-buy schedule" Google Sheet to product data and add group-buy sales and group-buy share columns per product
laplace · Check sheet columns
The sheet has SKU, start date, end date and influencer columns. I'll join on SKU.
laplace · Attach lookup · check match rate
Lookup attached. 1,251 of 1,284 ordered products (97%) matched; 33 SKUs aren't in the sheet.
laplace · Add custom formula
Added "Group-buy sales" and "Group-buy share = group-buy sales ÷ total sales" columns.
laplace · Preview
Here's a preview of the top products. Confirm and I'll publish it so you can use it in dashboards.
Example chat: Laplace connected to Claude attaches a Google Sheet with a lookup, adds a custom formula column and previews the result

## Try saying something like this.

| When you say |  |
| --- | --- |
| “Show me unmatched products and link them to base products with similar names”Look up unmatched → search candidates → save matches |  |
| “If a Meta campaign name contains 'serum', link it to the serum product”Preview the rule (how many it hits) → save ad matching rule |  |
| “Attach the cost sheet and add a margin column by brand”Link sheet → lookup → custom formula → preview → publish |  |
| “Put a contribution-profit chart with channel fees into my 'Weekly meeting' report”Check chart spec → create chart → add to report |  |
| “Ping me on Slack if yesterday's sales drop more than 20% below normal”Preview alert condition → create alert |  |
| “Numbers look off after yesterday's matching change — what changed?”Look up change history and diff → find a restore point if needed |  |

## Safe to hand off.

### Your permissions, as is

The AI only sees and changes what the connected person's project role allows. If you can't see it, the AI won't answer with it.

### Preview before, history after

Sheet matching and ontology changes show the result before they apply, and every change is logged so you can roll back.

### Only what you ask

The AI makes only the changes you explicitly request. Big moves like deleting ontology objects stay in the web app.

## Connect your AI in 3 steps.

1
Connect your data to Laplace
Connect your stores and ad channels. You can try MCP during the free trial.
2
Add Laplace to your AI
Add the Laplace MCP address (https://gateway.laplacetec.com/mcp/) in the connectors menu of Claude or ChatGPT.
3
Sign in with Laplace and ask
Sign in and you're connected. Ask "Show my Laplace projects" to check, then go.

| AI tool | Connection |  |
| --- | --- | --- |
| Claude (web · app) | Account sign-in |  |
| ChatGPT | Account sign-in |  |
| Perplexity | Account sign-in |  |
| Claude Code · Cursor · VS Code | API key |  |

Availability
- **Growth · Pro · Enterprise** plans
- **Free trial**: up to 100 calls
- Not available on the Starter plan
[See pricing](https://www.analytics.laplacetec.com/en/pricing)

## Frequently asked questions, answered up front.

Still have questions? Contact us anytime — we will tailor the guidance to how you plan to adopt Laplace.

### What is MCP?

MCP (Model Context Protocol) is the standard way for AI assistants such as Claude and ChatGPT to use data and features from other services. Connect Laplace over MCP and you can query Laplace data from the chat — and hand off setup work like matching, ontology and dashboards in plain words.

### How is this different from uploading a spreadsheet to ChatGPT?

An upload only shows the numbers at that moment, and nothing flows back into your system. The Laplace MCP queries live data that updates daily, on the same definitions Laplace uses (contribution profit, base products, customer identity), and the matches, columns and charts the AI creates are saved in Laplace.

### What if the AI changes something by mistake?

The AI only makes changes you ask for, and sheet matching and ontology changes are previewed before they apply. Every change is kept in the change history so you can roll back.

### Which plans include MCP?

Growth, Pro and Enterprise. During the free trial you get up to 100 calls; the Starter plan doesn't include MCP. Plans are checked against the project owner.

### Does personal data go to the AI?

No customer personal data is queried over MCP. The AI works only with aggregated metrics and settings within the connected person's permissions, and you can disconnect anytime in Laplace settings.

### Is it an officially listed MCP server?

Yes. It is listed on the official MCP Registry as io.github.laplacetec/ecommerce-analytics.
