Amazon MCP Server: Talk to Your Seller Central
An Amazon MCP server lets AI assistants such as Claude read your Seller Central account - orders, inventory, returns, listings - and answer in plain language. Inwizards builds custom Amazon seller MCP servers on the SP-API, drawing on the engineering behind our Amazon–Odoo Connector, so you connect Claude to Amazon Seller Central on your own terms.
What is an Amazon MCP server?
An Amazon MCP server connects your Amazon Seller Central account to AI assistants such as Claude through the Model Context Protocol, an open standard. Built on the SP-API, it lets you ask about orders, inventory, returns, and listings in plain language - and make approved changes - within the permissions you set.
Born next to the Amazon–Odoo Connector.
We did not discover the SP-API for this page. We ship a product on it.
Inwizards builds and maintains the Amazon–Odoo Connector, a product that moves orders, inventory, listings, and fulfilment data between Seller Central and Odoo ERP over the SP-API. Rate limits, report queues, marketplace IDs, restricted data tokens - those scars are already earned, on a product sellers run their operations through.
An Amazon MCP server is a different product on the same foundation. Instead of syncing seller data into an ERP, it hands that data to an AI assistant that can answer questions and, only with your approval, act. We build it with the same engineering approach behind our WhatsApp, Zoho, Odoo, and SAP MCP servers: scoped access, audit logs, and writes gated behind a human.
To be plain about what this page offers: this is a service. Building software since 2009, with teams in the USA, Dubai, and Indore, we build custom Amazon seller MCP servers scoped to your account - we do not resell a dashboard subscription.
Questions your seller account should answer itself
Four questions every operations morning starts with - and what the assistant actually does over MCP to answer them.
What sold yesterday across all marketplaces?
The assistant queries orders marketplace by marketplace through the server and answers in one breath: what moved, where, and what looks unusual against the recent trend. No report exports, no spreadsheet stitching, no flipping between Seller Central regions.
Which SKUs will run out before my next shipment lands?
It reads current FBA and FBM stock alongside recent sell-through and names the SKUs at risk, so a looming stockout surfaces while there is still time to act - not in a lost-sales postmortem after the listing went dark.
Show me returns spiking this week - and why.
Returns get pulled and grouped by SKU and reason, then summarized in plain language: which product, which complaint, whether the pattern is new or seasonal. A quality problem arrives as a sentence you can forward, not a hunch.
Draft a restock plan for Q4.
The assistant combines stock levels, sell-through, and the lead times you give it into a draft plan you can argue with. Nothing is ordered, repriced, or changed until a human approves it - writes stay approval-gated by design.
Every answer above is a read against your live seller account through scoped SP-API calls, with an audit trail behind each one. The AI never sees credentials, and it never acts alone.
Subscription dashboard vs your own MCP server
Plenty of subscription tools already put AI on top of Amazon data - and for standard reporting they are genuinely fine. Here is the honest split.
- Fast to start - connect your account and ask questions the same day
- Maintained for you, with no build effort on your side
- Solid for standard reporting on a straightforward account
- Generic tool set, identical for every seller who signs up
- Ongoing per-month, per-seat fees, and your queries run through someone else's platform
- Knows your SKU structure, bundles, and naming conventions by heart
- Encodes your repricing and inventory rules, not a template's
- Spans multiple marketplaces - North America, Europe, Gulf - in one server
- Connects Amazon data with your ERP, including Odoo, in the same assistant
- Runs on infrastructure you control - no per-seat subscription, on-premise option included
If a subscription dashboard covers what you need, use one - it is the faster road for a single-marketplace seller with standard reports. Custom earns its keep when your operation stopped being standard.
How we build your Amazon MCP server
Five phases, deliberately short - the assistant answers real seller questions in the pilot, not in a slide deck.
Scope the SP-API access
We map your seller account together: marketplaces, FBA or FBM mix, and exactly which SP-API roles and data sets the server may touch. Anything sensitive is excluded before a line of code exists.
Define the tool surface
Orders, inventory, reports, and listings become named tools the assistant can call. Reads are broad; anything that writes - repricing, listing edits, inventory updates - is designed approval-gated from the start.
Build with audit logging
The server is built against your account's reality - throttling, report queues, marketplace quirks included - and every tool call is logged, so you can always review what the AI looked at and what it asked to change.
Connect your assistants
Claude, ChatGPT, or your own agents connect over MCP. Your team runs a read-only pilot, asking real operational questions against live data, before anything is allowed to modify the account.
Iterate on real use
We review the logs with you, sharpen the tools your team actually reaches for, and switch on writes one approved action at a time as the audit trail earns trust.
Who this is built for
Different operations, same frustration: the answers sit in Seller Central, but getting them out takes too long.
Established sellers and brands
You sell across more than one marketplace, your catalog has real depth, and daily decisions - restocks, pricing, returns triage - deserve better than a morning of report downloads. An assistant that knows your account turns that into a conversation.
Agencies managing several seller accounts
Each client account gets its own scoped server, so one assistant can switch context cleanly between brands without ever mixing data. Account reviews start from live answers instead of exported snapshots.
Odoo + Amazon operations
If your orders already flow through our connector into Odoo, the MCP server is the natural next layer: one assistant that sees Amazon and your ERP side by side and answers across both.
Amazon–Odoo Connector →Keep exploring
Seller answers get sharper when the same assistant also sees your ERP and your messaging.
Questions sellers ask us
From ecommerce operators, brand owners, and agencies - before they connect AI to a live seller account.
Through an MCP server. We build a custom Amazon seller MCP server on the SP-API and scope it to your account, you add it in Claude's settings as a connector, and Claude can then answer questions about orders, inventory, returns, and listings inside the permissions you set.
It depends on how many marketplaces you sell in and what you want the assistant to do, so we do not publish a number. Every engagement starts with a fixed-scope discovery that maps your SP-API access and tool surface, and you receive a clear written quote before any build work begins.
The server reaches only the SP-API endpoints you approve, credentials stay in your keeping, every tool call can be logged for review, and both the server and the AI model can run on infrastructure you control. Your sales data is not routed through a third-party analytics platform.
Not unless you deliberately allow it. Writes - repricing, listing edits, inventory updates - are approval-gated: the assistant drafts the change, a human confirms it, and the action is logged. Most teams start read-only and switch on writes one action at a time.
No. MCP is an open standard, so the same server works with ChatGPT, Claude, and any other MCP-compatible assistant or agent framework you run. You are never locked to one AI vendor.
Yes, and that is one of the strongest reasons to go custom. A single server can span your North American, European, and Gulf marketplaces, so one question - what sold yesterday, where is stock thin - is answered across all of them at once.
The Amazon-Odoo Connector syncs orders, inventory, and listings between Seller Central and Odoo ERP; the MCP server adds a conversational layer on the same SP-API foundation. They work independently or together - many teams want the assistant to see both Amazon and Odoo in one conversation.
Put an AI copilot on your Seller Central.
Book a demo, watch an MCP server answer seller questions live, then map the tool surface to your own SKUs, marketplaces, and rules.