Your AI, on your account. With a hand brake.
SellerDragon is an MCP server for your Amazon business. Connect the AI client you already use and ask for the work in plain language – ranks, stock, listings, PPC. Reads answer instantly. Writes wait for your approval.
Most AI integrations are a chat window taped to an API. This is an operating layer – staged writes, verified submissions, and a memory that outlives the conversation.
The safety model
Ask. Stage. Approve.
AI on a live seller account is only sane with a hand brake. So writes are never direct – every change your AI proposes goes through the same three gates, every time.
Ask
Your AI reads the account: sales, ranks, search terms, stock cover, listings, campaign performance. Reads are instant and read-only – ask anything, nothing changes.
Stage
Writes are proposals. Bid changes, negatives, budgets, listing edits land in a staging queue with the exact before/after – nothing has touched Amazon yet.
Approve
You review the staged change and approve or discard it. Approved changes ship through Amazon's official APIs and are verified after submission.
It's a control panel for your AI – every change ends with your approval.
What your AI can reach
The whole account, one question away.
The same isolated data the dashboard and Sheets read – exposed to your AI as real tools, not a chat gimmick.
The superpower is time. Seller Central shows you today – a snapshot here, a report there. SellerDragon keeps your history and hands it to your AI whole: ranks, spend, stock and search lined up on one timeline. "What changed, when, and what moved with it" is the question Amazon can't answer cleanly. Here it's one sentence.
Performance
- Sales trends by ASIN, SKU or family
- Ads summaries and campaign dossiers
- TACoS at account and product-group level
Keywords & search
- Organic ranks and rank movement
- SQP funnels and search-term performance
- Keyword opportunities and market share
- Over-time correlation – ranks vs bids vs stock events
Inventory
- Stock cover at the current run rate
- Levels, locations and inbound
- Stranded and problem stock flags
Listings
- Full listing detail, issues and schemas
- Staged edits, creates and deletes
- Family-wide batches, one approval
PPC actions
- Staged bid changes and budgets
- Negatives from search terms
- Campaign creates, verified after submit
Memory
- Notes with action dates – "recheck in 7 days", asked back as "what's due today?"
- Playbooks – standing instructions your AI follows
- Change history: who did what, when
Memory · notes & playbooks
It remembers, so you don't have to.
An AI that forgets everything each morning is a tourist. SellerDragon's MCP carries two kinds of memory – the account's, and yours.
Notes with action dates live on campaigns, ASINs and keywords. Stage "recheck this bid in 7 days" and it surfaces when it's due – your AI opens the morning with "what needs doing today?" and the answer is your own follow-ups, on time.
Playbooks hold your doctrine – how you optimize campaigns, how listings get written, how inventory is watched. Your AI reads them before proposing anything, so suggestions sound like you on a good day, not like a generic best-practices blog.
And the memory lives in SellerDragon, not in the chat window. Switch AI clients, start a fresh session, open the dashboard – same notes, same playbooks, same due list. It's the account's memory, not the conversation's.
And because it's all staged, the worst case of a bad suggestion is a proposal you discard.
Included everywhere
MCP is on every plan.
Not an add-on, not an upsell. Plans differ only in monthly call volume.
Stop copy-pasting your account into a chat window.
Connect your AI to the real numbers, with a hand brake on every write.
Same isolated per-account data as every other door. Buyer PII is discarded before it ever reaches a database.