Amazon Ads has launched its Model Context Protocol (MCP) Server in open beta, providing a new method for AI agents to interact with its advertising APIs. This announcement was made during the IAB Annual Leadership Meeting.
The MCP Server allows AI platforms such as Claude, ChatGPT, and Gemini to seamlessly connect to Amazon’s advertising stack using natural language prompts. According to Amazon, the server acts as a translation layer, converting conversational inputs into structured API calls that enhance campaign management and reporting.
Paula Despins, VP of Ads Measurement at Amazon Ads, emphasized that the MCP Server serves as a “translation layer” that transforms conversational prompts into actionable API calls, streamlining the interaction between advertisers and the platform.
This development is indicative of a broader trend towards automation in digital advertising, where AI systems are increasingly involved in campaign creation, reporting, and optimization. With such tools, brands can expect enhanced efficiency and precision in their advertising efforts.
However, the current beta version only implements the “Tools” component of the MCP specification, with other elements like Resources and Prompts expected to follow in future updates. Additionally, the system functions on asynchronous reporting cycles and has limited historical data access, depending on the ad formats used.
Hector AI, an Amazon Ads technology partner based in India, has introduced its own offering as a complementary layer to Amazon’s connectivity standard. The company claims its hybrid MCP architecture integrates Amazon’s infrastructure with its proprietary intelligence layer, enhancing the overall effectiveness of the advertising workflow.
Meher Patel, founder of Hector AI, remarked on the significance of the MCP launch, stating: “Amazon’s MCP launch is a genuine milestone — it standardizes how AI connects to their ad platform. But connectivity is only the first step. What brands and agencies need is an intelligence layer that understands campaign hierarchies, identifies root causes automatically, and delivers actionable insights instantly. That’s what Hector MCP was built to do.”
The introduction of the MCP Server aligns with a growing industry focus on agent-driven advertising workflows, as platforms seek to deepen the integration between AI systems and ad-tech infrastructure. This shift is likely to empower marketers with tools that provide real-time insights and facilitate data-driven decisions.
As the beta testing phase progresses, the advertising landscape is expected to evolve further, with more advanced features and functionalities under the MCP framework. The implications of this technology could enhance not only individual campaign performance but also shape the future of digital advertising as a whole, paving the way for more intelligent and automated marketing strategies.
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