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Saved February 14, 2026
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Amazon is testing a new tool that connects its advertising platform with various AI systems, simplifying the process of creating and managing ad campaigns. The Amazon Ads MCP Server translates natural language commands into structured campaign actions, reducing the complexities of traditional workflows. It aims to streamline operations for marketers by allowing them to execute tasks with single prompts.
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Amazon is beta testing a new platform called the Amazon Ads MCP Server, designed to integrate its advertising services with various AI systems. Announced at the IAB ALM event, this platform uses the Model Context Protocol, an open standard that allows AI tools to communicate with external applications. It acts as a bridge between AI agents and the Amazon Ads API, turning natural language prompts into structured ad campaigns, which simplifies the process for marketers.
The MCP Server addresses the limitations of existing APIs that manage tasks individually, which often leads to inefficiencies in multi-step advertising workflows. By streamlining these processes, it allows advertisers to perform complex actions with simple commands. For instance, marketers can quickly expand campaigns from the U.S. to other countries with a single prompt or create an entire Sponsored Products campaign that usually involves multiple steps, all with just one command.
This server is compatible with both custom-built AI agents and popular platforms like Claude, ChatGPT, and Gemini. Amazon designed it to evolve alongside its APIs without needing extensive code changes, making it a flexible tool for managing ad campaigns. The MCP Server builds on Amazon's previous Ads Agent tool, which enabled conversational interactions with its advertising data. As Amazon continues to grow—reporting a 14% revenue increase to $213.4 billion in Q4 2025—its focus on AI integration within advertising reflects a significant investment in technology.
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