Amazon Ads MCP Server

The Amazon Ads MCP Server bridges your Amazon Advertising account with AI assistants that understand the Model Context Protocol. By authenticating through MarketplaceAdPros, the server exposes a rich set of advertising resources—campaigns, ad groups, keywords, product ads, and targeting data—for Sponsored Products, Brands, and Display. It also delivers real‑time reports and lets you query them using plain English, turning complex API calls into conversational commands. For subscribers, additional insights such as Marketplace Ad Pros recommendations and experiment data are available, giving AI assistants a comprehensive view of your advertising ecosystem.

Developers can leverage this server to automate routine ad management tasks, generate performance reports on demand, and embed advanced analytics into conversational agents. Instead of writing boilerplate code to fetch and parse Amazon’s REST endpoints, a Claude or other MCP‑compatible assistant can issue natural language queries like “Show me the top 5 keywords by spend for Campaign X” or “Add a new ad group with bid $1.20.” The server translates these requests into the appropriate Amazon Ads API calls, returns structured data, and keeps authentication hidden behind a bearer token.

Key capabilities include:

• Resource discovery for all major Amazon ad products, enabling dynamic navigation of campaign hierarchies.
• Report querying with an intuitive English interface, eliminating the need for manual report generation or CSV parsing.
• Subscription‑level features such as recommendation engines and experiment tracking, giving AI assistants actionable insights.
• Streamable HTTP support, allowing the server to run as a cloud endpoint () and be consumed by any MCP‑compatible client without local installation.

Real‑world use cases span from automated budget adjustments—where an assistant continuously monitors spend thresholds—to conversational dashboards that answer ad‑performance questions on the fly. Marketing teams can integrate the MCP server into their existing workflow tools, creating bots that schedule experiments, pause underperforming keywords, or alert stakeholders when a campaign exceeds its cost‑per‑click target.

By integrating seamlessly into AI workflows, the Amazon Ads MCP Server reduces friction in data access, accelerates decision making, and unlocks advanced ad‑management capabilities that would otherwise require custom code. Its standout advantage lies in the combination of a conversational interface with deep Amazon Ads integration, empowering developers to build smarter, data‑driven assistants that speak the language of advertising.