sellerfox MCP

npx add-mcp 'https://api.sellerfox.com/mcp'

Analyze your Amazon data with Claude and ChatGPT

Connect Seller Central to sellerfox once. The sellerfox MCP server then connects Claude, ChatGPT or another compatible AI client to your Workspace. Ask about revenue, profit, rankings and trends, then take the analysis further in the same conversation.

No credit card required.

From a question to the next analysis

A conversation about your catalog

Specify the product, marketplace and date range. Your AI client can retrieve available sellerfox data and query it again for your follow-up question.

Your AI client + sellerfoxIllustrative example

Which three product families on amazon.de are losing the most revenue even though I’m spending more on advertising? Compare the last complete week with the previous week. Investigate the affected variants, conversion rate, organic keyword rankings and listing events. Give me a prioritized list: What stands out, what should I investigate first, and which numbers support it?

Together, these three families lost €4,880 in revenue. Ranked by the decline in euros:

1 Backpacks

−€2,340 revenue · +18% ad spend

25 l variant: sessions +9%, conversion rate 6.2% → 4.1%. An image change was recorded in the same period.

Next step: Compare the conversion trend with the timing of the image change.

2 Jump ropes

−€1,580 revenue · +12% ad spend

For the tracked keyword “Springseil” on amazon.de, this family’s average organic rank drops from 7 to 18. Its sessions fall by 24%.

Next step: Review the ranking trend and other tracked keywords for this family.

3 Resistance bands

−€960 revenue · +9% ad spend

The light set accounts for 82% of the family’s revenue decline. Its conversion rate falls from 8.0% to 6.1%.

Next step: Compare daily sessions and conversion rate for this set.

Possible follow-up: Show me daily sessions and conversion rate for the 25 l backpack around the image change.

Read-only access. You choose which Workspaces your AI client can read.

Set up your MCP connection

24 tools for your Amazon analysis

From profit figures to search demand, your AI can retrieve, compare and connect these data sources in the same conversation.

• Profit & costs

  4 tools Analyze profit and margins, break down fees, advertising and product costs, and search recorded income and expenses.

• Products & variants

  3 tools Compare product families and variants by revenue, ad spend, sessions and conversion – for specific periods or over time.

• Marketplace metrics

  2 tools Compare revenue, ad spend and conversion across your Amazon marketplaces and identify changes between periods.

• Keywords & rankings

  4 tools Compare organic and sponsored positions for tracked keywords and find out which of your products rank for them.
• Analyze search demand and your ASINs’ click and purchase shares. Identify the search queries where you are gaining or losing share.

• Listing events

  1 tool Retrieve recorded listing changes and your own actions for specific products and periods, then view them alongside metric trends.

• Best Seller Rank (BSR)

  2 tools Compare stored category ranks for your products and see how their Best Seller Rank (BSR) has changed over time.

• Ratings

  2 tools Retrieve the average rating, rating count and star distribution of tracked products and see how the ratings changed over time.

• Workspaces & metrics

  3 tools Check connected marketplaces, available report periods and possible data gaps, and look up metric definitions and units. View the full MCP reference

Your next analysis starts with a question

Try sellerfox with your Amazon data. Once the required data is available, you can connect a compatible AI client to your Workspace.

FAQ