bigcommerce · MCP Server

BigCommerce + Improvado MCP — Store Data, Instantly Queryable by AI

Improvado's MCP server gives your AI agent direct access to BigCommerce data. Query orders, revenue trends, product performance, and customer segments in plain English. Works with Claude, ChatGPT, Cursor, and any MCP-compatible tool.

46K+ metrics ·Read & Write access ·500+ platforms ·<60s setup

Read

Read: Pull Any Store Metric on Demand

Skip the dashboard. Ask your AI agent about order volume, AOV, top SKUs, or cart abandonment rates — across any date range or segment. The MCP server handles the BigCommerce API calls so you don't have to.

Example prompts

"What's my revenue by product category this month vs. last month? Highlight the biggest movers."

30 min → 30 sec

"Show me top 20 SKUs by gross revenue this quarter with their return rates."

20 min → 20 sec

"Compare AOV and conversion rate across all active storefronts for the last 90 days."

2 hrs → 2 min

Works with Claude ChatGPT Cursor +5

Write

Write: Update Products and Prices Without the Admin UI

Your AI agent doesn't just surface data — it acts. Adjust pricing, update product descriptions, manage inventory levels, and apply discounts through natural language. The MCP server translates intent into BigCommerce API operations.

Example prompts

"Set a 15% discount on all products in the 'Summer Clearance' category. Run through end of the month."

45 min → 5 min

"Update inventory to 0 for all SKUs flagged as discontinued in the last import."

30 min → 1 min

"Clone the Black Friday promo ruleset from last year and update the dates and discount thresholds."

1.5 hrs → 10 min

Every action logged · Fully reversible · SOC 2 certified

Monitor

Monitor: Catch Revenue Drops Before They Compound

Configure your AI agent to watch BigCommerce metrics continuously. Get alerts when conversion rates dip, inventory runs low, or revenue anomalies appear — before the situation escalates.

Example prompts

"Alert me if any product category's conversion rate drops more than 20% vs. its 7-day average."

Manual → auto

"Every morning: send a summary of yesterday's orders, revenue, and top 5 SKUs by volume."

1 hr → auto

"Flag any SKU where inventory falls below 10 units and reorder hasn't been triggered."

Manual → auto

Alerts sent to Slack, email, or your AI agent

Full cycle

The Closed Loop: Read → Decide → Write → Monitor

Your AI agent doesn't just surface data — it acts. Adjust pricing, update product descriptions, manage inventory, apply discounts — all through natural language. The MCP server translates intent into API operations.

Every phase runs through the same MCP connection. One protocol, all platforms, full governance. No switching between tools.

Ideate

Launch

Measure

Analyze

Report

Iterate

One conversation. All six phases. Every platform.

The daily grind

Common problems. Direct answers.

Challenge 1

Multi-Storefront Data Is Siloed

The problem

Teams running multiple BigCommerce storefronts — different brands, regions, or channels — have no unified view. Each store has its own admin, its own exports, and its own date format quirks. Comparing performance across storefronts means hours of manual consolidation.

How MCP solves it

Improvado normalizes data across all your BigCommerce storefronts into one queryable layer. Ask the MCP server for cross-storefront revenue, AOV, or product rankings and get a single answer — no stitching required.

Try asking

Compare revenue and AOV across all three storefronts for Q1. Which one had the highest growth rate?

Answer in seconds

All data sources, one query

Challenge 2

Order Attribution Is Always Incomplete

The problem

Revenue comes in from organic search, paid ads, email campaigns, and affiliates — but BigCommerce's native reports don't join order data with marketing spend. Teams end up exporting CSVs from three systems and doing VLOOKUP gymnastics to get a blended ROAS.

How MCP solves it

Improvado joins BigCommerce order data with your ad platforms and email tools in one data model. The MCP server lets your AI answer questions about revenue per channel, campaign-level ROAS, and LTV by acquisition source.

Try asking

Which paid channel drove the highest LTV customers in Q1? Break it down by Google, Meta, and email.

Full detail preserved

No data loss on export

Challenge 3

Product Performance Reports Take Too Long

The problem

Merchandising teams need weekly SKU-level reports — views, add-to-cart rate, purchase rate, returns. Building this manually from BigCommerce exports, formatting it, and distributing it eats hours every week. The report is usually out of date by the time anyone reads it.

How MCP solves it

Ask the MCP server for any product performance slice on demand. The AI agent pulls live data, calculates funnel metrics, and formats the answer in seconds. Schedule recurring summaries so they arrive automatically without manual effort.

Try asking

Show me the full purchase funnel for top 50 SKUs this week — views, add-to-cart, checkout, and purchase rate.

Unified data model

Compare anything side by side

👥 Teams

One Framework. Five Roles. Zero Setup.

Same MCP connection, different workflows for every team member. Each role asks in natural language — the MCP server handles the complexity (rate limits, auth, schema normalization, governance) behind the scenes.

Agency CEO

Portfolio health. Client risk. Revenue signals.

Media Strategist

70% strategy, not 70% ops. Auto campaign QA.

Marketing Analyst

Zero wrangling. Cross-platform. AI narratives.

Account Manager

QBR decks auto-generated. Call prep in 30s.

Creative Director

Performance-to-brief. Predict winners before spend.

FAQ

Common questions

Does BigCommerce have an official MCP server?

BigCommerce does not publish an official MCP server. Improvado provides a hosted MCP server that connects BigCommerce to Claude, ChatGPT, Cursor, and other MCP-compatible AI tools — with pre-authenticated accounts, normalized data, and cross-platform querying alongside 1,000+ other data sources.

Which AI tools work with the BigCommerce MCP server?

Any tool that supports the Model Context Protocol. That includes Claude Desktop, ChatGPT, Cursor, Windsurf, Gemini, and custom applications using the MCP HTTP transport. Claude is the most commonly used option because of its native MCP support — all through Improvado's hosted MCP server.

Can I query multiple BigCommerce stores at once?

Yes. Improvado normalizes data across all connected BigCommerce storefronts into a unified data model. One question to the AI agent can return aggregated or side-by-side results across all stores without manual exports.

What BigCommerce data is available through the MCP server?

Orders, revenue, products, inventory, customer segments, discount usage, cart abandonment, storefront analytics, and more. Improvado's data model covers the full BigCommerce API surface and normalizes it for consistent querying.

Is my BigCommerce data secure through the MCP server?

Yes. Improvado is SOC 2 Type II certified. API credentials are stored in an encrypted vault. The AI agent queries data through Improvado's secure proxy — your raw credentials are never exposed to the AI tool.

How long does setup take?

If your BigCommerce account is already connected in Improvado, the MCP server is ready immediately. For Claude Desktop or Cursor, add one line to your MCP config. For new Improvado accounts, initial setup takes under 30 minutes.

Stop Reporting. Start Executing.

Connect your data to an AI agent in under 60 seconds. The closed loop starts with one conversation.

SOC 2 Type II GDPR 500+ Platforms