DataDoe launches Amazon data layer for AI assistants

By AI, Created 5:19 PM UTC, May 18, 2026, /AGP/ – DataDoe, Inc. has introduced Amazon Data MCP, a Model Context Protocol server that connects live Amazon business data to tools like Claude, ChatGPT and Cursor. The launch aims to help sellers, agencies and developers replace spreadsheets and report exports with structured context for analysis, automation and AI workflows.

Why it matters: - Amazon sellers and agencies often make decisions with fragmented data spread across Seller Central, Vendor Central, Amazon Ads, FBA inventory, settlement reports, refunds, returns, fees and internal cost systems. - DataDoe’s new data layer is designed to give AI tools permissioned access to live business context, which can make analysis, reporting and automation faster and more accurate. - The approach targets a common AI problem in ecommerce: assistants are only useful when they can reach clean operational data.

What happened: - DataDoe, Inc. launched Amazon Data MCP, a Model Context Protocol server and data layer for Amazon operators. - The platform is built to work with Claude, ChatGPT, Cursor, Claude Code and other MCP-compatible environments. - The launch was announced May 15, 2026. - DataDoe is positioning the product for Amazon sellers, vendors, agencies and developers.

The details: - Amazon Data MCP organizes Amazon data into a structured layer that can support analytics, API access, BigQuery workflows, exports and AI applications. - The platform is intended to replace manual steps such as exporting CSV files, copying numbers between reports and uploading spreadsheets. - Users can connect AI assistants to live Amazon data instead of screenshots, stale spreadsheets or one-off report downloads. - Example use cases include identifying SKUs that lost margin after ad spend and FBA fees, finding campaigns that created profitable growth, spotting inventory risk, and measuring marketplace performance after refunds, returns and currency effects. - Agencies can use the system to generate account summaries and client reports from live data. - Developers can build dashboards, alerts, internal tools and AI agents without maintaining their own Amazon SP-API infrastructure. - DataDoe said teams can use its Claude integration page to connect Amazon context with AI assistants, and the broader platform also supports analytics teams, developers, agencies and AI builders. - The company is available at DataDoe.com. - DataDoe also shared social links for LinkedIn, Instagram, YouTube and TikTok.

Between the lines: - DataDoe is framing the product as infrastructure, not another chatbot interface. - That positioning suggests the company sees the main bottleneck in ecommerce AI as data plumbing, not model capability. - The launch message echoes a conference quote from earlier this year: “AI agents won’t scale your business. Systems will.” - Co-Founder Kris Krokos said the companies that win will build structured AI systems with clean access to real operational data, and that AI value comes from understanding the context of the business. - DataDoe says Amazon is the first focus because ecommerce data is especially fragmented across marketplaces and internal systems. - The company is already testing additional marketplaces.

What’s next: - DataDoe plans to expand beyond Amazon as it tests additional marketplaces. - The company wants to become a broader data layer for AI implementation across ecommerce businesses. - As AI tools become more capable, DataDoe is betting that teams will need a separate foundation for business data that can plug into different interfaces without rebuilding connections each time.

The bottom line: - DataDoe is trying to make Amazon data usable by AI tools without forcing teams to stitch together reports and spreadsheets first.