Nova Analytics
Amazon MCP for Sellers
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An Amazon MCP gives your AI a socket. Sellers need answers.

MCP is the right protocol. SP-API is the wrong context. Nova is the seller-side read layer your AI actually queries.

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How the read layer works

From fragmented Amazon APIs to any AI assistant, in one flow

Nova absorbs SP-API, Ads, and Reports complexity. Your AI reads one clean schema.

Step 1
Amazon

Amazon APIs

Fragmented, schema-shifting

SP-APIrate-limited
Ads APIshifting schemas
Reports APIlags 24 to 48h

We absorb the chaos so Your AI does not have to.

Nova
Step 2

One schema, pre-modeled for AI

Sales & Profit

Net Profit at SKU levelOrdersFeesCOGSSettlementsReturns

Advertising & Discoverability

PPC KeywordsSearch TermsSessionsBuy BoxBSR

Catalog & Inventory

FBA InventoryListingsCatalogueSubscribe & Save
200+
metrics
21
marketplaces
SKU
level grain
Hourly
refresh
Step 3
Your AI

Your AI

Reads Nova in one query. Returns profit, fees, ads, inventory answers in seconds.

Live, hourly refresh

What an Amazon MCP server actually is

MCP (Model Context Protocol) is Anthropic's open standard for letting AI assistants call tools. An Amazon MCP server wraps Amazon endpoints (SP-API, Ads API) and exposes them as callable functions to Claude, ChatGPT, Cursor, or any MCP-compatible client.

Amazon now ships an official Ads MCP server. The community publishes SP-API wrappers. They all do the same thing: hand the AI a phone line to Amazon. What they do not hand it is a seller-grade data model.

That gap is the difference between "Claude tried to compute my margin and timed out" and "Claude told me the 5 SKUs that lost money this week and why."

The problem with raw MCP

Why "give the AI SP-API" rarely works

Token bills explode

8 to 20 tool calls per question, with pagination and retries. One question can burn dollars in tokens.

No profit model

SP-API returns orders, fees and settlements in different shapes. The AI tries to reconcile them in the prompt. It gets the answer wrong.

Schema fragility

Amazon ships breaking changes regularly. Every change breaks your AI workflows until someone patches the wrapper.

Raw Amazon MCP vs Nova for sellers

Same AI, same prompt, different context layer.

Dimension
Raw Amazon MCP / SP-API
Nova for sellers
Tool calls per question
8 to 20
1 SQL query
Token cost per answer
High, scales with retries
Flat, predictable
Schema stability
Breaks on Amazon updates
14+ months stable
SKU-level profit
Not available
Reconciled across 200+ fees
Freshness
Per-call, rate-limited
Hourly across all marketplaces
Marketplaces
One auth per region
21 marketplaces, one model
Joins (orders × ads × fees × inventory)
AI does them in the prompt
Pre-joined in the warehouse
Best fit
Actions (push bids, edit listings)
Reads (P&L, planning, alerts)

Use both. MCP for actions. Nova for answers.

The smart stack pairs an MCP action layer with Nova as the read layer.

MCP action layer

Use Amazon's Ads MCP and SP-API wrappers to push changes: bid updates, listing edits, inbound creation.

Good at: writes, mutations, single-record actions.

Nova read layer

Point your AI at Nova for everything it needs to reason: profit, fees, ads efficiency, inventory risk, organic share.

Good at: analytics, planning, alerting, briefings, agents.

Live in 24 hours, not 24 weeks

Three steps from Amazon to any AI assistant.

Step 01

Connect Amazon

Auth your Seller Central and Ads accounts in Nova. 21 marketplaces supported.

Step 02

Point your AI at Nova

Drop the Nova endpoint into Claude, ChatGPT, Gemini, or your own agent.

Step 03

Ask anything

Your AI reads SKU profit, ads, inventory and answers from one joined model.

Built for every major AI assistant

Amazon Data for ClaudeAmazon Data for ChatGPTAmazon Data for GeminiData Sharing pillar

About Amazon MCP for Sellers

Common questions about MCP, SP-API, and Nova as the seller read layer

MCP (Model Context Protocol) is Anthropic's open standard for letting AI assistants call tools. An Amazon MCP server exposes Amazon endpoints (SP-API, Ads API) as tools the AI can invoke. Amazon ships an official Ads MCP server. AWS has community SP-API wrappers. None of them give you SKU-level profit.
MCP gives the AI a socket, not an answer. To compute SKU profit, the AI has to call orders, then settlements, then fees, then ads, then reconcile by SKU, in a single prompt. That is 8 to 20 tool calls, a huge token bill, and a wrong number at the end because the joins and fee logic are not in the model.
No. Nova complements it. You can keep your MCP setup for actions (push a bid, update a listing). Use Nova for the read layer: profit, fees, inventory, ads, organic, joined and modeled, queryable in one SQL call.
Yes. Many teams do. Ads MCP for actioning campaign changes, Nova for the underlying P&L and attribution data the AI reasons on.
Pre-joined schema, SKU-level profit reconciled across 200+ fees, hourly refresh, 21 marketplaces, 14-month schema stability, and a query surface designed for AI consumption (stable column names, no pagination hell, no rate-limit retries).
Yes, read-only by default. AI assistants read the joined model and reason about it. Actions stay in your hands or in your action-layer tooling.
Most teams are live in under 24 hours. Connect Amazon in Nova, point your AI at the Nova endpoint, start asking questions.

Give your AI seller-grade Amazon data

Live in 24 hours. Profit-accurate. 21 marketplaces.

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