How to Use the Iterable MCP in CrewAI

Q: Can I filter which Iterable tools CrewAI agents see?

Yes, you can use toolfilter to restrict access. This ensures your research agent only sees what it needs while your management agent handles the sensitive tasks.

Q: Can my CrewAI agents audit Iterable templates?

They can. Using listtemplates, your agents can scan for outdated content or verify that the correct assets are being used in active campaigns.

Run autonomous marketing crews with CrewAI using this Iterable MCP Server for specialized, role-based campaign management.

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Connect Iterable MCP to CrewAI

Create your Vinkius account to connect Iterable 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 Iterable with CrewAI

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Deploy specialized CrewAI marketing agents

Assign an analyst agent to use `get_campaign_metrics` while a content agent uses `list_templates`. CrewAI allows these agents to work together to optimize your outreach. Each agent focuses on its specific role without getting distracted by the entire stack. You gain a collaborative unit that manages your marketing assets autonomously.

Autonomous campaign monitoring via CrewAI

Let a monitor agent use `list_campaigns` to track your active outreach and report back on status. CrewAI manages the collaboration so your team stays informed without manual oversight. This keeps your campaign tracking running 24/7. Your agents handle the routine checks while you focus on high-level strategy.

Collaborative subscriber insights in CrewAI

Use `get_user` to provide your agents with deep subscriber context during their research tasks. CrewAI shares this memory across the crew so every agent knows exactly who they are addressing. This prevents fragmented messaging and ensures your agents have the full picture. It turns individual user data into actionable insights across your entire crew.

Setup guide

Set up Iterable 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 Iterable tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

You pass the server URL to your agents during setup. They then use the available tools to query your marketing campaigns and subscriber records as needed.

Yes, you can use tool_filter to restrict access. This ensures your research agent only sees what it needs while your management agent handles the sensitive tasks.

The MCP Server runs in an ephemeral sandbox. It only exposes data to the agents you authorize, and it does not store any records after the crew session finishes.

They can. Using `list_templates`, your agents can scan for outdated content or verify that the correct assets are being used in active campaigns.

The server manages subscriber email records and campaign performance data. Every transaction happens inside a secure, zero-trust container that clears after each task execution.

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