How to Use the Amazon Ads MCP in CrewAI

Q: Can I restrict which CrewAI agents have access to my Amazon Ads campaigns?

Yes. You can use the toolfilter option in the MCP Server configuration to expose tools like listspcampaigns only to your campaign manager agent, keeping your reporting agents restricted to read-only tools.

Deploy a collaborative team of specialized AI agents to manage your Amazon Ads campaigns using CrewAI.

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Connect Amazon Ads MCP to CrewAI

Create your Vinkius account to connect Amazon Ads to CrewAI 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 CrewAI

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Run collaborative Amazon Ads crews with this MCP Server

CrewAI lets you set up specialized agent roles to tackle your Amazon Ads campaigns. You can have a Research Agent pull profile data using `list_profiles` and hand it off to an Analyst Agent that queries `list_sp_campaigns` to find underperforming targets. Because the agents share memory, they coordinate their actions. The Analyst Agent identifies the weak campaigns, and a Campaign Manager Agent uses `list_sp_ad_groups` to isolate and adjust the specific ad groups that are draining your budget.

Autonomous keyword research and brand monitoring

Set up a dedicated CrewAI team to manage your brand presence on Amazon. One agent monitors Sponsored Brands using `list_sb_campaigns` while another tracks competitor keywords by pulling active targets with `list_sb_keywords`. This MCP Server provides the raw keyword data your crew needs to make decisions. The agents work sequentially, ensuring that keyword lists are fully updated via `list_sp_keywords` before any reports are generated.

Automated reporting and escalation pipelines

Build a supervisor-monitored CrewAI team that handles reporting for your Amazon Ads accounts. A junior agent requests performance data via `request_sp_report`, tracks the build using `get_report_status`, and hands the completed report to a senior analyst agent. If the report reveals high spend spikes, the senior agent escalates the issue. By passing your Vinkius URL directly to the crew's tool config, you expose these reporting tools to the exact agents that need them.

Setup guide

Set up Amazon Ads MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Amazon Ads tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Amazon Ads Analyst",
    goal="Access and analyze Amazon Ads data via MCP.",
    backstory="Expert analyst with direct Amazon Ads access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Amazon Ads transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

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

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Amazon Ads Analyst",
        goal="Access and analyze Amazon Ads data via MCP.",
        backstory="Expert analyst with direct Amazon Ads access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Amazon Ads transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

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 CrewAI

Yes. You can use the `tool_filter` option in the MCP Server configuration to expose tools like `list_sp_campaigns` only to your campaign manager agent, keeping your reporting agents restricted to read-only tools.

Agents utilize CrewAI's shared memory. When one agent triggers `request_sp_report` and tracks it with `get_report_status`, the resulting report data is automatically made available to other agents in the crew.

The simplest method is passing your Vinkius endpoint URL directly into the agent's `mcps` array parameter during initialization.

Yes. You can configure your crew to run sequentially, ensuring one agent finishes auditing your `list_sp_ad_groups` before another agent begins analyzing keywords using `list_sp_keywords`.

All credentials and profile data are managed via Vinkius's zero-trust architecture. Your keyword performance metrics and campaign metadata are processed in isolated, ephemeral environments, ensuring zero data persistence.

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