Amazon Ads MCP Server for OpenAI Agents SDK 8 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Amazon Ads through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Amazon Ads Assistant",
instructions=(
"You help users interact with Amazon Ads. "
"You have access to 8 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Amazon Ads"
)
print(result.final_output)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Amazon Ads MCP Server
Connect your Amazon Ads account to your AI agent to unlock professional campaign orchestration and performance tracking. From auditing Sponsored Products and Sponsored Brands to generating asynchronous performance reports and managing keyword bids, your agent handles your e-commerce advertising strategy through natural conversation.
The OpenAI Agents SDK auto-discovers all 8 tools from Amazon Ads through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Amazon Ads, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Profile Oversight — Retrieve Amazon Ads profiles to manage campaigns across different global marketplaces
- Campaign Orchestration — List and audit Sponsored Products and Sponsored Brands campaigns to monitor active budgets
- Ad Group & Keyword Management — List ad groups and targeted keywords to ensure your products appear in the right search results
- Performance Reporting — Request and retrieve asynchronous reports to analyze clicks, impressions, and ad spend
- Advertising Insights — Quickly identify underperforming keywords or out-of-budget campaigns directly from your chat interface
The Amazon Ads MCP Server exposes 8 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Amazon Ads to OpenAI Agents SDK via MCP
Follow these steps to integrate the Amazon Ads MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 8 tools from Amazon Ads
Why Use OpenAI Agents SDK with the Amazon Ads MCP Server
OpenAI Agents SDK provides unique advantages when paired with Amazon Ads through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Amazon Ads + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Amazon Ads MCP Server delivers measurable value.
Automated workflows: build agents that query Amazon Ads, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Amazon Ads, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Amazon Ads tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Amazon Ads to resolve tickets, look up records, and update statuses without human intervention
Amazon Ads MCP Tools for OpenAI Agents SDK (8)
These 8 tools become available when you connect Amazon Ads to OpenAI Agents SDK via MCP:
get_report_status
Check report status
list_profiles
List advertiser profiles
list_sb_campaigns
List Sponsored Brands campaigns
list_sb_keywords
List SB keywords
list_sp_ad_groups
List SP ad groups
list_sp_campaigns
List Sponsored Products campaigns
list_sp_keywords
List SP keywords
request_sp_report
Request performance report
Example Prompts for Amazon Ads in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Amazon Ads immediately.
"List my Amazon Ads profiles."
"Show me the active Sponsored Products campaigns for profile ID '123456'."
"Request a campaign performance report for yesterday (Profile ID '123456')."
Troubleshooting Amazon Ads MCP Server with OpenAI Agents SDK
Common issues when connecting Amazon Ads to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Amazon Ads + OpenAI Agents SDK FAQ
Common questions about integrating Amazon Ads MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Amazon Ads with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Amazon Ads to OpenAI Agents SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.