How to Use the Amazon DSP MCP in CrewAI

Q: How do I connect Amazon DSP to CrewAI?

Add the Vinkius URL directly to the mcps parameter in your agent definition. CrewAI automatically parses the available tools and makes them ready for execution.

Q: Can multiple CrewAI agents share Amazon DSP data?

Yes. A monitoring agent pulls active line items using listadgroups, and your reporting agent uses that exact list from shared memory to request performance stats.

Q: How do I restrict Amazon DSP MCP tools for specific CrewAI agents?

Use the MCPServerHTTP class instead of the simple array. Pass a toolfilter to ensure an agent only sees listcampaigns and nothing else.

Deploy specialized CrewAI agents to monitor and analyze your Amazon DSP campaigns autonomously.

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Connect Amazon DSP MCP to CrewAI

Create your Vinkius account to connect Amazon DSP 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 DSP with CrewAI

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Autonomous Media Buying Crews

This Amazon DSP MCP server lets your CrewAI agents pull ad performance autonomously. You assign a Researcher agent to monitor the exchange by calling `list_campaigns` and `list_ad_groups` to find active line items. That agent passes the active IDs to an Analyst agent. The Analyst hits `request_report` and tracks the output via `get_report_status`. They share memory, meaning the Analyst knows exactly which campaigns the Researcher flagged without asking twice.

Deep Audience Inspection

Display advertising demands constant creative rotation. Spin up an Auditor agent specifically tasked with matching assets to targets. It runs `list_audiences` to grab the demographic segments currently in use across your account. Next, it pulls the assigned banners using `list_creatives`. The agent evaluates whether the creative messaging aligns with the audience parameters, outputting a summary report for your media planners. It happens entirely in the background.

Secure MCP Server Integration

Connecting this to your Python environment takes seconds. Pass your Vinkius endpoint into the `mcps` array when defining your agent. CrewAI handles the HTTP transport and exposes the DSP functions instantly. For advanced setups, you establish strict boundaries. Import `MCPServerHTTP` and apply a `tool_filter`. You restrict your Junior Analyst agent so it only accesses `get_campaign_details`, preventing it from triggering heavy reporting tasks.

Setup guide

Set up Amazon DSP 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 DSP tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Add the Vinkius URL directly to the `mcps` parameter in your agent definition. CrewAI automatically parses the available tools and makes them ready for execution.

Yes. A monitoring agent pulls active line items using `list_ad_groups`, and your reporting agent uses that exact list from shared memory to request performance stats.

Use the `MCPServerHTTP` class instead of the simple array. Pass a `tool_filter` to ensure an agent only sees `list_campaigns` and nothing else.

Configure your agent to handle asynchronous tasks. It checks `get_report_status`, realizes the file is pending, and moves on to other tasks before checking back.

Vinkius runs your connection in an ephemeral V8 Isolate. The system processes your creative metadata and audience segments during the execution window, then wipes the sandbox clean.

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