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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.
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.
Your AI agent reads harmonized data across 500+ platforms. "Cost" in Google Ads and "spend" in Meta Ads resolve to the same field automatically.
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.
250+ governance rules enforce naming conventions, budget limits, and KPI thresholds. SOC 2 Type II certified.
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.
Automated weekly reports, anomaly flagging, and budget alerts — all from a single conversation. No more morning check-ins across 5 dashboards.
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.
Every phase runs through the same MCP connection. One protocol, all platforms, full governance. No switching between tools.
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.
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.
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.
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.
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.
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.
Same MCP connection, different workflows for every team member. Agency CEOs get portfolio health. Media Strategists get campaign QA. Analysts get cross-platform reports. Account Managers get auto-generated QBR decks. Creative Directors get performance-based briefs.
Each role asks in natural language. The MCP server handles the complexity — rate limits, auth, schema normalization, governance — behind the scenes.
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 500+ other data sources.
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.
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.
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.
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.
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.
Connect your data to an AI agent in under 60 seconds. The closed loop starts with one conversation.
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