ChatGPT + Amazon Seller Central

Amazon Seller Central data in ChatGPT.

agentcentral gives ChatGPT a hosted MCP connection to Amazon seller data. Connect Amazon once, create a scoped key, and use ChatGPT to query Seller Central API and SP-API-backed fields, ads, inventory, orders, catalog, rankings, finance, and fulfillment data.

The goal is not a generic store chat. It is a clean operational data layer with retained history, BigQuery-backed reads, source fields, deterministic metrics, and key-level access controls.

Amazon Ads and TACOS

Campaigns, ad groups, keywords, search terms, placements, budgets, TACOS, Brand Metrics, DSP, Stores, and Amazon source-provided bid or budget suggestion fields.

Seller Central API data

SP-API-backed inventory, FBA stock, AWD, inbound shipments, days of cover, active listings, suppressed listings, orders, order details, returns, reimbursements, and sales velocity.

Catalog and ranking

Product details, A+ Content, variations, product reviews, listing quality issues, daily keyword ranks, rank changes, and rank with search volume.

Finance and guarded writes

Fees, profitability, settlement economics, plus scoped write tools for supported ads, listing, price, quantity, and fulfillment operations.

Why agentcentral

Built for seller operations, not shallow account summaries.

Not a generic store chatbot

ChatGPT receives structured seller-data tools across ads, inventory, catalog, ranking, finance, and fulfillment instead of a narrow storefront summary.

History retained from connection

Daily campaign settings, search terms, budget pacing, inventory snapshots, orders, and rank data are preserved from the day Amazon is connected.

Scoped keys by workflow

Give ChatGPT read-only access, ads-only access, or a broader key. Write tools can be omitted from keys that should only analyze data.

Factual data layer

agentcentral returns source fields, deterministic metrics, and labeled classifications. ChatGPT can reason over the data without agentcentral prescribing next steps.

Example prompts

Ask ChatGPT for rows, metrics, and source dates.

These prompts map to concrete agentcentral tools and fields. The data layer supplies factual rows; ChatGPT can format, compare, and explain them in the conversation.

Show Amazon Ads campaigns by spend, sales, ACOS, ROAS, TACOS, and budget pacing for the last 30 days.

List search terms with spend over $25, more than 20 clicks, and zero attributed sales last week.

Show SKUs below 21 days of cover with FBA stock, inbound units, sales velocity, and suppressed listing status.

Compare yesterday orders by SKU with current FBA inventory and include exact source dates.

Find catalog listings with missing attributes, listing issues, or suppressed listing status.

Show keyword rank changes for tracked ASINs and join each term to search volume.

Common questions.

Can ChatGPT connect to Amazon Seller Central?+

Yes. agentcentral connects ChatGPT to Amazon Seller Central and Amazon Ads through a hosted MCP server after you connect Amazon and create a scoped API key.

Can ChatGPT use Amazon Seller API or SP-API data?+

Yes. agentcentral syncs Amazon Seller Central and SP-API-backed data into a hosted data layer, then exposes that data to ChatGPT through scoped MCP tools.

What URL should I use for the MCP server?+

Header-capable MCP clients use https://mcp.agentcentral.to/mcp with an Authorization bearer API key. The dashboard also provides connector options for clients that need signed URLs.

Does ChatGPT get write access by default?+

No. API keys can be scoped. Keep a ChatGPT key read-only, or include write tools only for workflows where supported Amazon Ads, catalog, inventory quantity, price, or fulfillment mutations should be available.

How is this different from a cheaper Amazon store chat connector?+

agentcentral is focused on operational seller data: 91 domain-scoped tools, retained history, TACOS, ranking/search-volume joins, finance fields, guarded write tools, and BigQuery-backed reads.

Amazon Seller Central ChatGPT MCP - agentcentral