🇺🇸 USPPC & AdvertisingMedium ImpactFebruary 2, 2026

Amazon Ads Launches MCP Server in Open Beta — Connects Claude, ChatGPT, Gemini Directly to Amazon Ads APIs

Amazon Ads partners and advertisers (including FBA/FBM sellers running Sponsored Products, Sponsored Brands, or DSP) with active API credentials who want to manage campaigns, reporting, or account workflows through AI assistants like Claude, ChatGPT, or Gemini instead of the Ads console

On February 2, 2026, Amazon Ads announced the open beta of its MCP (Model Context Protocol) Server — a new integration layer that connects AI agents like Claude, ChatGPT, and Gemini directly to Amazon Ads API functionality. The server translates natural language prompts into structured API calls, letting advertisers create accounts, run reports, launch campaigns, and expand to new locales by chatting with an AI assistant. Pre-built workflow tools collapse multi-step operations — for example, an end-to-end Sponsored Products tool handles campaign creation, ad group setup, and ad creation in a single prompt that returns a ready-to-launch campaign awaiting review. Open beta is available globally to Amazon Ads partners with active API credentials.

Key Points

Announced February 2, 2026: Amazon Ads MCP Server enters open beta, built on the open Model Context Protocol standard
Connects AI agents (Claude, ChatGPT, Gemini, plus custom-built agents) to Amazon Ads APIs through a single integration
Translates natural language prompts into structured Amazon Ads API calls — advertisers no longer need to hand-write API code or click through console UIs for routine actions
Pre-built workflow tools include account creation, country/locale expansion, and end-to-end Sponsored Products campaign setup (campaign + ad groups + ads in one prompt)
Beyond campaigns, the server can run performance and reporting queries, manage account-level settings, and access billing or financial data
Available globally in open beta to Amazon Ads partners with active API credentials — no separate enrollment fee mentioned

What You Should Do Now

1If you build custom tooling on the Amazon Ads API, evaluate the MCP Server as a way to expose your existing Amazon Ads workflows to your team's AI assistants
2If you use Claude/ChatGPT/Gemini for ad-ops tasks today, check whether the MCP Server's pre-built tools (account creation, campaign launch, locale expansion) cover the workflows you currently script by hand
3Review the Amazon Ads developer documentation for the MCP Server's available tools and ensure your API credentials remain active before connecting
4Skip this launch if you do not have Amazon Ads API access or do not use AI agents for advertising operations — the integration is targeted at developers, partners, and AI-tooling-forward advertisers

Official Source

Amazon Ads →

This summary is written in our own words based on the official source linked above. Policies may be updated after publication. Always check the official Amazon source for the latest details.

Related Tools

PPC Workspace