How to Use the Northbeam MCP in CrewAI

Q: How are Northbeam exports handled in CrewAI?

You can set up a specific agent to poll getexportstatus. Once the status is complete, the agent can summarize the file for the rest of the crew.

Deploy a specialized CrewAI agent team to manage Northbeam attribution and ad spend optimization.

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Connect Northbeam MCP to CrewAI

Create your Vinkius account to connect Northbeam 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 Northbeam with CrewAI

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CrewAI agents for attribution monitoring

Assign a dedicated monitor agent to call `list_metrics` periodically. This agent watches for dips in ROAS and alerts the team. It works in the background. You don't have to watch the dashboard because the agent handles the observation for you.

Hierarchical Northbeam data analysis

Create a manager agent that uses `list_attribution_models` to decide which data to prioritize. It then tasks a worker agent to pull specific reports. This structure ensures accuracy. The manager coordinates the workflow while the worker executes the specific data pulls.

Automated reporting with CrewAI

Use a specialized agent to trigger `list_scheduled_exports` and handle the resulting files. It ensures your team gets the data they need on time. Your agents collaborate to organize the data into meaningful insights. They handle the routine tasks while you focus on strategy.

Setup guide

Set up Northbeam 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 Northbeam tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

You add the server URL to your agent's MCP list. Once connected, your agents can call tools like `list_breakdowns` immediately.

Yes. CrewAI uses shared memory so your agents can pass the results of `list_metrics` from the researcher to the analyst.

You can set up a specific agent to poll `get_export_status`. Once the status is complete, the agent can summarize the file for the rest of the crew.

The data is isolated within the Vinkius environment. Your crew only sees the specific metrics you allow them to access via the tool set.

Your attribution data is encrypted during transit. The MCP server ensures that only your authorized agents can interact with your account metadata.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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