ebay · MCP Server

eBay Data Meets AI — Powered by Improvado MCP

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.

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

Read

Read: Pull eBay Performance Data Without Seller Hub Reports

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.

Example prompts

"Which of my listings have a sell-through rate below 20% in the last 30 days? Show SKU, price, and days active."

45 min → 1 min

"What's my average order value this month vs. last month? Break it down by category."

30 min → 30 sec

"Show me active listings where my price is more than 15% above the lowest current competitor listing."

1 hr → 2 min

Works with Claude ChatGPT Cursor +5

Write

Write: Update Listings and Manage Orders Through Conversation

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.

Example prompts

"Reduce the price on all listings in the Electronics category that have been active for 60+ days with zero sales by 10%."

2 hrs → 2 min

"Update the shipping handling time to 3 business days for all listings using the slow-ship fulfillment profile."

45 min → 1 min

"End all draft listings in the Home & Garden category that haven't been published in over 90 days."

30 min → 30 sec

Every action logged · Fully reversible · SOC 2 certified

Monitor

Monitor: Track Marketplace Performance Without Manual Checks

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.

Example prompts

"Alert me if any competitor lists an identical item more than 20% below my price for that SKU."

Manual → auto

"Weekly: show me top 10 listings by revenue, 10 listings with zero views, and inventory levels below reorder threshold."

2 hrs → auto

"Flag any listing that drops below a 4.0 seller rating signal or receives a negative feedback event."

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

Catalog-Wide Repricing Is a Full-Time Job

The problem

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.

How MCP solves it

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.

Try asking

Show me all listings where I'm priced more than 10% above the current lowest competitor. Prioritize by monthly sales volume.

Answer in seconds

All data sources, one query

Challenge 2

Identifying Stale Inventory Before It Becomes a Loss

The problem

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.

How MCP solves it

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.

Try asking

Find listings that are active for 90+ days, have fewer than 50 views, and zero sales. What are the best options: reprice, end, or promote?

Full detail preserved

No data loss on export

Challenge 3

eBay Seller Metrics Are Scattered Across Multiple Reports

The problem

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.

How MCP solves it

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.

Try asking

Give me a full seller health summary: revenue, top listings, sell-through by category, feedback score, and any defect rate issues.

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

What eBay data is accessible through this MCP?

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.

Can AI agents modify listings or only read data?

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.

Does this work for sellers with large catalogs (10,000+ listings)?

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 — all through Improvado's hosted MCP server.

Can I compare my pricing against competitors through this MCP?

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.

Does this work with eBay's promoted listings data?

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.

How long does setup take?

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.

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