How to Use the Klaviyo MCP in CrewAI

Deploy a crew of specialized AI agents to analyze Klaviyo campaign performance and manage customer segments autonomously using CrewAI.

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Connect Klaviyo MCP to CrewAI

Create your Vinkius account to connect Klaviyo 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 Klaviyo with CrewAI

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Analyze marketing campaigns with specialized CrewAI agents

The `list_campaigns` tool allows your research agent to pull historical email performance data directly into the shared memory space. A separate analyst agent then evaluates open rates and click-through metrics to find optimization opportunities. This collaborative approach lets one agent identify underperforming templates while another uses `list_email_templates` to suggest copy revisions. Your crew works in parallel, delivering polished marketing recommendations without human oversight.

Clean customer lists using this Klaviyo MCP Server

The `list_segments` tool provides your compliance agent with real-time access to your dynamic audience cohorts. The agent cross-references these cohorts with engagement metrics to flag inactive subscribers. Once identified, a coordinator agent uses `list_marketing_lists` to clean up your databases. This automated maintenance keeps your deliverability scores high by removing unengaged profiles before your next major send.

Audit automated marketing flows with multi-agent teams

The `list_automated_flows` tool exposes your active customer journeys to your monitoring agents. A dedicated auditor agent reviews the structure of each flow to ensure that follow-up emails are spaced correctly. If the agent detects a bottleneck, it triggers `track_event` to log a test record and verify the flow's behavior. The entire testing process runs autonomously, alerting your team only if a critical receipt or welcome sequence fails.

Setup guide

Set up Klaviyo 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 Klaviyo tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Yes, you can restrict tool access by passing specific tools to individual agents. For example, give your analyst agent access to `list_metrics` while restricting your execution agent to `create_profile`.

Agents share a common memory space to pass data. One agent pulls campaign history using `list_campaigns`, and a second agent reads that data to update matching records via `create_profile`.

Yes, it integrates perfectly with CrewAI's hierarchical process. A manager agent coordinates the workflow, delegating tasks like `list_automated_flows` to subordinate agents based on current goals.

Use the MCP configuration with a tool filter. This ensures your agents only see the specific tools they need, reducing token usage and preventing accidental edits.

The connection utilizes secure, single-endpoint tokens that prevent unauthorized access. All profile updates processed via `create_profile` bypass permanent storage, executing directly in an isolated memory space before being destroyed.

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