How to Use the Amazon Marketing Cloud MCP in CrewAI

Q: How do CrewAI agents coordinate to run an Amazon Marketing Cloud query?

You assign the createexecution tool to your SQL Writer Agent and getexecutionstatus to your Monitor Agent. CrewAI's shared memory allows the Monitor Agent to track the execution ID generated by the writer.

Q: Can a CrewAI agent update an existing Amazon Marketing Cloud workflow?

Yes, an agent equipped with updateworkflow can modify SQL definitions. The agent first calls getworkflowdetails to inspect the current setup before applying changes.

Q: Can I limit which tools a specific CrewAI agent can use?

Yes, you can use MCPServerHTTP with a toolfilter to restrict access. For example, you can allow your Analyst Agent to only run queries while blocking it from deleting workflows.

Deploy specialized CrewAI agent teams to write, execute, and audit Amazon Marketing Cloud SQL queries autonomously.

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Connect Amazon Marketing Cloud MCP to CrewAI

Create your Vinkius account to connect Amazon Marketing Cloud 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 Marketing Cloud with CrewAI

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Multi-Agent SQL Execution and Auditing

This MCP Server enables your CrewAI agents to divide and conquer AMC tasks using `create_execution` and `get_execution_status`. An Analyst Agent drafts the SQL queries, while a separate QA Agent monitors the execution status and verifies the output structure. This division of labor prevents malformed SQL from running up high query costs. The QA Agent checks the status, and if it fails, sends the error log back to the Analyst Agent for immediate correction.

Autonomous AMC Workflow Optimization with CrewAI

Your agents can cooperatively manage complex marketing schemas using `list_workflows` and `update_workflow` via this MCP Server. A manager agent coordinates the process, assigning workflow updates to specialized sub-agents. The crew reads the current workflow details, compares them against your active campaign goals, and updates the SQL logic autonomously. This lets your marketing operations run 24/7 without requiring manual SQL editing.

Automatic Data Extraction Pipelines

You can build automated data extraction pipelines by combining `get_execution_download_urls` and `list_executions` in a CrewAI sequential flow. One agent schedules the data runs, and another extracts the secure download URLs once the execution finishes. Because CrewAI agents share memory, the extraction agent knows exactly which execution IDs to target. It grabs the S3 URLs and hands them off to your data warehousing tools for ingestion.

Setup guide

Set up Amazon Marketing Cloud 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 Marketing Cloud tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Amazon Marketing Cloud 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 Marketing Cloud Analyst",
        goal="Access and analyze Amazon Marketing Cloud data via MCP.",
        backstory="Expert analyst with direct Amazon Marketing Cloud access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Amazon Marketing Cloud 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 Marketing Cloud. 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 Marketing Cloud MCP in CrewAI

You assign the `create_execution` tool to your SQL Writer Agent and `get_execution_status` to your Monitor Agent. CrewAI's shared memory allows the Monitor Agent to track the execution ID generated by the writer.

Yes, an agent equipped with `update_workflow` can modify SQL definitions. The agent first calls `get_workflow_details` to inspect the current setup before applying changes.

You can pass the Vinkius HTTP endpoint URL directly into the `mcps` list when initializing your CrewAI agents. The framework automatically registers all ten SQL and workflow tools.

Yes, you can use `MCPServerHTTP` with a `tool_filter` to restrict access. For example, you can allow your Analyst Agent to only run queries while blocking it from deleting workflows.

All SQL query strings and execution metadata are processed inside an isolated V8 sandbox on Vinkius. This MCP Server handles the pipeline securely, while your actual raw marketing event data remains inside your AWS clean room.

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