How to Use the Amazon Ads MCP in AutoGen

Q: How do I register Amazon Ads tools with AutoGen agents?

Install autogen-extmcp and use mcpservertools with your Vinkius server URL. Pass the resulting tool list directly into your AssistantAgent constructor to give them API access.

Q: How does AutoGen handle Amazon Ads profile selection?

One agent can call listprofiles to get the list of active advertiser profiles. It then shares the correct profile ID in the group chat, allowing other agents to use it for campaign queries.

Q: Does this MCP Server support the AutoGen HTTP transport?

Yes, you connect using StreamableHttpServerParams pointing to your Vinkius endpoint. The adapter automatically handles the schema conversion for all Sponsored Products and Sponsored Brands tools.

Build multi-agent AutoGen teams that debate and optimize your Amazon Ads campaign strategies.

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Connect Amazon Ads MCP to AutoGen

Create your Vinkius account to connect Amazon Ads to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Amazon Ads with AutoGen

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Run AutoGen debates on Amazon Ads campaign structures

Set up a multi-agent conversation where one agent pulls active structures using `list_sp_campaigns` and another reviews them for budget issues. A third agent can query `list_sp_ad_groups` to ensure your ad group setup matches best practices. These agents debate the layout of your Sponsored Products campaigns in real time. They only present a final recommendation to you once they reach a consensus based on the live API data.

Automate Amazon Ads report analysis via agent consensus

This MCP Server allows an AutoGen analyst agent to coordinate with a data-retrieval agent. The retriever triggers `request_sp_report` and checks `get_report_status` until the file is ready. Once the data is back, the analyst agent reviews the performance metrics while a critic agent challenges its conclusions. This back-and-forth ensures you get a vetted analysis of your Sponsored Products performance.

Validate Amazon Ads keyword targets before bidding

Prevent costly bidding mistakes by running your keywords through an AutoGen review loop powered by this MCP Server. One agent fetches your current active targets using `list_sp_keywords` and `list_sb_keywords`. A second agent analyzes the keyword performance, while a compliance agent flags negative keywords. They negotiate the best optimization strategy before presenting the final plan to your console.

Setup guide

Set up Amazon Ads MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Amazon Ads tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Amazon Ads_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Amazon Ads data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Amazon Ads_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Amazon Ads data")
    print(result.messages[-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Amazon Ads. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Amazon Ads MCP in AutoGen

Install `autogen-ext[mcp]` and use `mcp_server_tools` with your Vinkius server URL. Pass the resulting tool list directly into your `AssistantAgent` constructor to give them API access.

Yes, you can register the tools with multiple agents in your group chat. The agents will decide during their conversation which agent should call tools like `list_sp_campaigns`.

One agent can call `list_profiles` to get the list of active advertiser profiles. It then shares the correct profile ID in the group chat, allowing other agents to use it for campaign queries.

Yes, you connect using `StreamableHttpServerParams` pointing to your Vinkius endpoint. The adapter automatically handles the schema conversion for all Sponsored Products and Sponsored Brands tools.

Your performance metrics and profile tokens are only used to execute the tool calls inside the secure Vinkius V8 sandbox. No advertising data is cached or stored outside your local AutoGen execution environment.

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