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Improvado connects eBay listings, order data, pricing signals, and seller performance metrics to AI agents. Ask about sell-through rates, listing health, and competitor pricing without building reports manually. Works with Claude, Cursor, and any MCP-compatible tool.
Stop downloading CSVs from Seller Hub and building spreadsheets. Ask your AI agent for sell-through rates, listing performance, pricing comparisons, and order patterns across your entire catalog. The MCP server handles eBay API calls and data normalization.
Your AI agent reads harmonized data across 500+ platforms. "Cost" in Google Ads and "spend" in Meta Ads resolve to the same field automatically.
Reprice listings, update descriptions, end stale listings, and manage order workflows — all through your AI agent. Bulk operations that take hours in Seller Hub happen in a single prompt.
250+ governance rules enforce naming conventions, budget limits, and KPI thresholds. SOC 2 Type II certified.
Set your AI agent to watch for pricing undercuts, inventory running low on fast-moving items, and listings falling out of search visibility. Marketplace monitoring without daily Seller Hub sessions.
Automated weekly reports, anomaly flagging, and budget alerts — all from a single conversation. No more morning check-ins across 5 dashboards.
Reprice listings, update descriptions, end stale listings, and manage order workflows — all through your AI agent. Bulk operations that take hours in Seller Hub happen in a single prompt.
Every phase runs through the same MCP connection. One protocol, all platforms, full governance. No switching between tools.
Managing pricing across thousands of eBay listings means constantly checking competitor prices, deciding what to adjust, and making changes one by one in Seller Hub. By the time you've worked through the catalog, the first listings you updated are already undercut again. Sellers either overprice and lose sales or under-price and leave margin behind.
Ask your AI agent to run a competitive pricing analysis across your catalog in one shot. It identifies listings where you're priced significantly above or below market, groups them by priority, and can execute bulk reprice operations — all in a single conversation.
Slow-moving listings accumulate silently. You don't notice until you're paying insertion fees on items that haven't sold in six months. Identifying which listings to discount, bundle, or remove requires sorting through hundreds of records manually in Seller Hub — filtering by views, watchers, and sales history simultaneously.
Your AI agent scans your entire active catalog and surfaces stale inventory using multiple signals — low views, low watchers, no recent sales, high price relative to competitors. It produces a prioritized list of listings to act on and can execute bulk actions immediately.
Seller health, traffic data, transaction reports, and financial summaries all live in different sections of Seller Hub with different date ranges and export formats. Getting a unified view of how your eBay business is actually performing requires pulling five separate reports, aligning date ranges, and stitching them together.
The MCP server queries all eBay API endpoints and presents data through a single conversational interface. Ask for a full business health summary and your AI agent pulls listings performance, order data, feedback scores, and traffic metrics simultaneously — in one response.
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.
Listing data (active, ended, draft) including titles, prices, views, watchers, and performance metrics. Order history with transaction details and buyer information. Seller account health metrics, feedback score, defect rates, and traffic/impression data from the Seller Hub analytics.
Both read and write operations are supported via eBay's REST APIs. Write operations include creating and updating listings, repricing, ending listings, and updating inventory. You control scope through eBay API credentials and OAuth scopes — start read-only if you want to be cautious about bulk operations.
Yes. The MCP server handles pagination across large catalogs server-side. Queries like 'show me all listings with zero sales in 90 days' work across a catalog of any size — the AI agent doesn't need to process results one page at a time.
Yes. eBay's API includes market price data and competitor listing information for items with standard catalog matches. Your AI agent can identify where your prices are above or below current market levels and flag specific listings for attention.
Yes. Promoted Listings performance data — impressions, clicks, sales attributed to promotions, and ad spend — is accessible through eBay's Sell Marketing API. Your AI agent can analyze the ROI of your promotion campaigns alongside organic listing performance.
Under 10 minutes. You'll need to create an eBay developer application and complete the OAuth authorization flow for your seller account. Connect the credentials to Improvado, add one line to your MCP config, and your catalog and order data are immediately queryable.
Connect your data to an AI agent in under 60 seconds. The closed loop starts with one conversation.
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