About
about agentcentral
agentcentral is a hosted Amazon Seller data layer for AI agents. It connects Claude, ChatGPT, and other agents to Amazon Seller Central through one Model Context Protocol server, so an agent can read and work against the account without browser scraping, screenshots, or manual CSV exports.
Seller Central was built for people clicking through dashboards, not for agents that need structured, queryable data. Getting current numbers into an agent usually means exporting reports, pasting them into a chat, and watching them go stale within hours. agentcentral closes that gap by exposing seller data through a single connection an agent can call directly, so questions get answered from live account data rather than yesterday's spreadsheet.
One connection covers the domains a seller actually runs the business on: advertising, inventory, orders, catalog, ranking, finance, and fulfillment. Behind that connection the data is normalized and joined across Amazon's separate reports and APIs, so an agent does not have to reconcile mismatched IDs, date windows, or column names before it can answer a question.
agentcentral is built for Amazon sellers and the agencies and developers who build agents for them. If you already work with an AI agent and want it grounded in your own Seller Central data, this is the layer that gets the data there cleanly.
What it solves
A data layer, not a recommendation engine
agentcentral returns facts, metrics, history, and clearly labeled classifications. It does not decide what you should do with your account or hand the agent a list of actions to take. Deterministic calculations carry explicit formulas, and source-provided suggestions from Amazon are passed through with their source made clear. What to do with the data stays with you and your agent, while agentcentral keeps the data clean, complete, fast, and well-labeled.
Who builds it
Founded by Christian Verhoeven.
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