The leading MCP for retail media data
Securely connect data from Amazon, Walmart, Shopify, TikTok, Meta, and more to your AI agent, and conduct multi-channel analysis that previously seemed cumbersome at scale.
With Intentwise’s MCP, Claude, Copilot, and ChatGPT will become part of your retail media data stack, allowing you to ask diagnostic questions or build custom dashboards across all of your sales and advertising channels.
Plus, Intentwise’s MCP embeds a semantic layer of expertise about TikTok, Walmart, Amazon, Shopify, and all of your e-commerce channels, so you ensure the answers you get back are as accurate as possible.

Automate retail media analytics with Intentwise’s MCP
The retail media data sets in Intentwise’s AI Gateway MCP
- Amazon data — Amazon ads and DSP, Amazon Marketing Stream, inventory, retail, Share of Voice, Search Query Performance
- Amazon Marketing Cloud — organic sales, LTV, New-To-Brand, repeat purchase rate, CAC
- Walmart — Walmart ads and retail data, including in-store
- TikTok — TikTok Shop and TikTok ads data
- Meta — Ads data across Meta platforms (Instagram, Facebook, etc)
- Shopify — Sales and retail data across your DTC site
How Intentwise’s MCP for retail media differs from competitor MCPs
Why Intentwise’s MCP for retail media is so secure
A retail media MCP server is a Model Context Protocol implementation that connects AI agents like Claude, ChatGPT, or Copilot to commerce data across all of your sales and advertising channels. Your retail media MCP enables you to ask natural language queries across Amazon, Walmart, Shopify, TikTok, Meta, and more, so you can trace the reasons behind multi-channel trends, create powerful decks that pull in data from every sales channel, and more.
The Amazon Ads MCP is merely an execution vehicle. You can take actions in your ads account through natural language queries. Create new campaigns and adjust bids with straightforward prompts. By contrast, AI Gateway tells you what’s actually happening in your account. Track performance swings and uncover what to do next. Plus, Amazon’s MCP is just for Amazon advertising. Intentwise’s AI Gateway MCP brings in data sets from all of your retail media channels, including Shopify, TikTok, Meta, Walmart, and more.
We think of Amazon MCP as the perfect complement to the AI Gateway: our server conducts deep analysis across Amazon and your other retail media platforms, while Amazon’s lets you take cross-cutting actions on Amazon itself.
Intentwise’s AI Gateway MCP brings in retail and ads data across your most important sales channels. See all of your Amazon data (ads, retail, inventory, Amazon Marketing Stream, Rapid Retail Analytics, Search Query Performance, Share of Voice, and Amazon Marketing Cloud), Walmart (ads, retail, in-store), TikTok (Shop and ads), Shopify, and Meta—all normalized and joined into a single AI-readable layer.
No. Intentwise’s AI Gateway MCP for retail media is built on AWS Bedrock, which means you only ever run your data in a local version of Claude, Copilot, or ChatGPT. No data will leave your own internal servers. No data will be shared with the AI companies.
Plus, AI Gateway is built on Intentwise’s industry-leading security architecture. Intentwise is certified for SOC 2 Type 2, GDPR, and ISO 27001.
Yes. With Intentwise’s AI Gateway MCP, you can build analytics workflows that run every hour, every day, every week—or at the interval of your choice. Ask Claude, ChatGPT, or Copilot what changed in your account and why, or which advertised products have low inventory cover, and get the answers in Slack or your email automatically. Read more about how to do that in our free guide.
Because we forge a continuous connection between your retail media channels and your AI agent, you won’t ever need to re-upload your data. Intentwise’s embedded layer of e-commerce expertise also ensures your AI agent knows your business context, and can truly reason through your queries.
Yes. With Intentwise’s MCP, agencies can query not only across all retail media channels, but also across their entire client portfolio—asking questions like “which client accounts had the biggest spend increase in the last 30 days?” or “which SKUs have inventory risk heading into peak season?”
Intentwise’s AI Gateway MCP server allows agencies to build retail media decks and client reports faster. Within Claude, you can create end-to-end custom dashboards, called Live Artifacts, that refresh every time you login, and then save them as a PDF and send them to your clients.
Or you can tell Claude to build decks for you automatically in PowerPoint—write out your specifications, upload an example deck, and then set Claude to build new decks as a recurring workflow. Because Intentwise’s MCP brings in data from all of your retail media channels, these will be powerful, cross-cutting reports that compare, contrast, and connect performance across Amazon, Walmart, Shopify, TikTok, and more.
All of this is only possible with AI Gateway’s live connection to Claude, which ensures your retail media data is interconnected and embedded with e-commerce expertise.
When choosing the right MCP for your retail media data, brands and agencies need to consider four factors.
- Data completeness. Ensure your MCP connects to all of the retail media channels you want—and brings in unified datasets across all of those channels. For Amazon, for instance, you’re going to want a MCP that connect to ads, sales, inventory, finance, Search Query Performance, Share of Voice, Amazon Marketing Cloud, Amazon Marketing Stream, and more. The same pattern holds for your other retail media platforms.
- Data accuracy. AI agents are prone to hallucinations. What is the accuracy rate of the MCP, and what steps have they taken to ensure top-tier accuracy?
- Cost optimization. The best MCPs, like Intentwise’s AI Gateway MCP, limit the number of rows you receive back from your AI agent by default, so you won’t burn through expensive tokens with heavy responses.
- Data security. Look for a MCP server that is built in a contained environment. MCPs that work with Microsoft Azure and AWS Bedrock let you run these LLM analytics inside a contained environment, where they don’t have access to Claude server or the internet.



