Can I view campaign performance and open rates?

Yes. Browse all campaigns with delivery stats including open rate, click rate, bounce rate, unsubscribes, and revenue attributed. Filter by date and status.

Can I manage subscriber lists and segments?

Yes. List all subscriber lists and segments with member counts. Create new lists and manage subscriber profiles.

Can I monitor automated email flows?

Yes. Track all automated flows with trigger conditions, email counts, and performance metrics including conversion rates and revenue per flow.

INSTANT PLUG AND PLAY

Klaviyo MCP Server for CrewAIGive CrewAI instant access to 12 tools to Create Profile, Get Profile, List Automated Flows, and more

Name: Klaviyo
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR 12 Tools Framework

Connect your CrewAI agents to Klaviyo through Vinkius, pass the Edge URL in the `mcps` parameter and every Klaviyo tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Use with Your AI Agent

Ask AI about this App Connector for CrewAI

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The Klaviyo app connector for CrewAI is a standout in the Growth Engine category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Klaviyo Specialist",
    goal="Help users interact with Klaviyo effectively",
    backstory=(
        "You are an expert at leveraging Klaviyo tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Klaviyo "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 12 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Klaviyo MCP Server

Connect your Klaviyo account to any AI agent and manage email marketing through natural conversation.

When paired with CrewAI, Klaviyo becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Klaviyo tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

What you can do

List Management — Browse, create, and manage subscriber lists and segments
Campaign Tracking — View campaigns with open rates, click rates, and delivery stats
Profile Management — Browse and inspect subscriber profiles with engagement data
Flow Monitoring — Track automated email flows and their performance
Metrics & Analytics — Access performance metrics, revenue attribution, and trends
Template Access — Browse email templates and their configurations

The Klaviyo MCP Server exposes 12 tools through the Vinkius. Connect it to CrewAI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 12 Klaviyo tools available for CrewAI

When CrewAI connects to Klaviyo through Vinkius, your AI agent gets direct access to every tool listed below — spanning sms-marketing, subscriber-segmentation, campaign-management, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

create_profile

Create a new profile

get_profile

Get profile details

list_automated_flows

List automated flows

list_campaigns

List sent campaigns

list_email_templates

List email templates

list_marketing_lists

List marketing lists

list_metrics

List tracking metrics

list_profiles

List all customer profiles

list_segments

List dynamic segments

list_tags

List account tags

list_webhooks

List active webhooks

track_event

g. "Viewed Product"). Record a customer event

Connect Klaviyo to CrewAI via MCP

Follow these steps to wire Klaviyo into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 12 tools from Klaviyo

Why Use CrewAI with the Klaviyo MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Klaviyo through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Klaviyo + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Klaviyo MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Klaviyo for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Klaviyo, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Klaviyo tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Klaviyo against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for Klaviyo in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Klaviyo immediately.

"Show all campaigns from this month with open rates and revenue."

"List all subscriber lists and the top-performing automated flows."

"Show the profile for sarah@company.com and her engagement history."

Troubleshooting Klaviyo MCP Server with CrewAI

Common issues when connecting Klaviyo to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Klaviyo + CrewAI FAQ

Common questions about integrating Klaviyo MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.