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Nova Analytics

Nova MCP for AI assistants

The Decision Layer for Amazon Sellers

Nova MCP is the bridge between AI and the most advanced Amazon data model on the market.

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Connect your Amazon data to your favourite AI assistant

ClaudeChatGPTGemini
Rated 4.6/5 onTrustpilot
Nova connector enabled inside the Claude connectors panel

Your assistant, connected to live Amazon data.

Your AI assistants, plugged into every Amazon data source

Amazon data sources

Amazon SP-APIOrders, fees, settlements, inventory
Amazon Advertising APICampaigns, keywords, search terms
Amazon Vendor CentralBeta1P sales, POs, catalog
Nova MCP477 live data points

AI assistants

ClaudeDesktop, Code, web
ChatGPTConnectors & custom GPTs
GeminiMCP-capable clients

450+ metrics. Hourly refresh. 21 Amazon marketplaces.

How to choose the right MCP - 8 criteria to decide

01Data accuracyNova

Nova MCP

99.8% guaranteed. 370 Amazon transaction lines reconciled into 154 P&L lines, the best data model on the market

Typical Amazon MCP connector: Clean copies of the Amazon APIs. Fee reconciliation depth is rarely documented

02Data freshnessNova

Nova MCP

Several times a day for every data point, up to every 30 minutes for the metrics that move money, like Buy Box lost

Typical Amazon MCP connector: Most connectors refresh once a day, so the assistant answers on yesterday's numbers

03Data coverageNova

Nova MCP

SP-API, Amazon Ads, Search Query Performance, customer search terms, inventory, listing health and Best Seller Rank, with Vendor Central in beta

Typical Amazon MCP connector: Broad API coverage, served as tables rather than decisions

04Token consumptionNova

Nova MCP

Structured tables and pre-aggregated answers. No raw dumps, no compute pushed onto Claude or ChatGPT

Typical Amazon MCP connector: Raw table access, so the model burns tokens filtering and aggregating rows itself

05SKU cost allocationNova

Nova MCP

Profitability to the cent at SKU level, attributed unit by unit

Typical Amazon MCP connector: Sales and fees per SKU, with no true landed cost allocation

06Smart data enrichmentNova

Nova MCP

COGS per SKU, FBM cost, 24 months of backfilled history, your own tagging and segments

Typical Amazon MCP connector: Only what Amazon publishes. Your costs and taxonomy live somewhere else

07Speed of answersNova

Nova MCP

Lightspeed. One question answered in one low-token call against a structured table

Typical Amazon MCP connector: Several round trips per question while the model assembles the answer

08Marketplace coverageNova

Nova MCP

21 Amazon marketplaces with currency-normalized reporting across accounts and regions

Typical Amazon MCP connector: Marketplace count and cross-market currency normalization are rarely documented

Everything you need to 3x your Amazon business

Search 477 Amazon metrics

Can't find what you need?

Showing 477 of 477

Setup, in one minute

How to connect Nova to Claude.

Four steps, no engineering. The same server URL works in ChatGPT, Gemini and Cursor: add it in that assistant's connectors settings.

  1. 01

    Open Claude, go to Settings then Connectors

    In Claude, open your profile, then Settings, then the Connectors tab. Works on the desktop app and on claude.ai.

  2. 02

    Click Add custom connector

    In the Connectors panel, click Add, then Add custom connector. If you do not see the option, check that you are on a Claude paid plan.

    Claude connectors panel with the Add custom connector option highlighted
  3. 03

    Fill in the connector details

    Name

    Nova

    Remote MCP server URL

    https://mcp.novadata.io/api/mcp

    No authentication is required in the current beta. Click Add, then Save.

    Claude Add custom connector modal with Nova name and MCP server URL filled in
  4. 04

    Toggle Nova on and start asking questions

    Toggle Nova on, open a new conversation, and ask about your live Amazon business.

    Claude connectors toggle with Nova enabled next to Gmail, Mixpanel and Pappers
Full Connect to Claude guide

Screenshots, troubleshooting and example prompts.

Frequently asked questions

How many Amazon data points does the Nova MCP serve?

The Nova MCP serves 477 data points across sales, profitability, PPC campaigns, ad groups and keywords, customer search terms, search query performance (SQP), Best Seller Rank, fees, refunds, FBA stock health, listing health, and your own cost inputs. All refreshed continuously from Seller Central, SP-API, and the Ads API.

Which AI assistants can connect to Nova?

Any assistant that supports the Model Context Protocol. Claude, ChatGPT and Gemini are the ones sellers use most. You add Nova once as a custom connector and the assistant can query your Amazon business from then on.

Why does token consumption matter with an Amazon MCP?

Connectors that hand the model raw tables force it to filter and aggregate thousands of rows itself, which burns tokens and slows the answer down. Nova returns structured, pre-aggregated tables, so one question is usually one low-token call.

Which categories are covered?

Sales and orders, profitability, PPC and advertising, customer search terms, search query performance, Best Seller Rank, buy box, inventory, fees and reimbursements, refunds, subscribe and save, listing health, and your own cost inputs (COGS, freight, 3PL, and more).

Is the data library free to browse?

Yes, browse and search the full library freely. Connecting your assistant to live data requires a Nova account (14-day free trial, no card).

How often is the data refreshed?

Several times a day for every data point, and up to every 30 minutes for the metrics that move money, pulled from the Amazon Selling Partner API, Advertising API, Brand Analytics, and Seller Central business reports.

Give your AI assistant every Amazon number

The Nova MCP serves these 477 data points to Claude, ChatGPT and Gemini, straight from Seller Central, SP-API and the Ads API. Refreshed several times a day, ready to query.

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