How to Use the Audienceful MCP in CrewAI

Q: What is the best way to monitor Audienceful tasks in CrewAI?

Configure a monitor agent to call listsendreports at set intervals. It will report back to you if the automation triggers don't execute as expected.

Deploy a specialized marketing crew using the Audienceful MCP Server and CrewAI.

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Connect Audienceful MCP to CrewAI

Create your Vinkius account to connect Audienceful 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 Audienceful with CrewAI

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Coordinate specialized agents with Audienceful

Assign one agent to `list_people` while another handles `update_person`. CrewAI manages the collaboration between these specialists to keep your list healthy. Shared memory allows your research agent to pass subscriber data to the action agent. They work together to maintain your audience quality.

Automate subscriber lifecycle management in CrewAI

Set up a monitor agent to watch `list_send_reports` for performance drops. If the metrics dip, the moderator agent calls `trigger_automation` to re-engage the audience. This setup removes the need for manual intervention. Your crew handles the entire cycle from research to action.

Manage custom data structures for your crew

Use `create_custom_field` to store insights gathered by your research agents. This keeps your Audienceful data relevant to your specific business goals. `delete_custom_field` helps you clean up unused data points as your campaign strategy shifts. Your CrewAI agents maintain the audience schema without human help.

Setup guide

Set up Audienceful 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 Audienceful tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Include the server URL in your agent definition. You can then use the tool filter to grant specific agents access to `create_person` or other tools.

Yes, you can create a crew where one agent iterates through a list from `list_people` and calls `update_person` for each entry.

Configure a monitor agent to call `list_send_reports` at set intervals. It will report back to you if the automation triggers don't execute as expected.

They share the same connection. Since the server handles the auth, every agent in your CrewAI team accesses the same audience data safely.

The server uses ephemeral sessions for every agent request. Your subscriber email addresses and profile details remain protected by the Vinkius sandbox during the collaboration.

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