How to Use the Klaviyo (Marketing Automation) MCP in LangChain

Q: Can LangChain run multi-step reasoning with this Klaviyo (Marketing Automation) toolset?

Yes. Your LangChain agent can call listaudiencesegments to find high-value targets, then decide to call getprofile to check their CLV, and finally add them to a win-back list.

Q: How does LangSmith help debug Klaviyo (Marketing Automation) tool calls in LangChain?

It traces every single execution of tools like getcampaigndetails or listlists. You see the raw JSON inputs, response times, and any API errors directly in your LangSmith dashboard.

Build LangChain chains that audit your Klaviyo email campaigns and move profiles into targeted lists based on live behavior.

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Connect Klaviyo (Marketing Automation) MCP to LangChain

Create your Vinkius account to connect Klaviyo (Marketing Automation) to LangChain 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 (Marketing Automation) with LangChain

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Chain Klaviyo data directly into LangChain pipelines

Your agent can inspect active broadcasts with `list_email_campaigns` and grab details using `get_campaign_details` in a single run. Instead of manual exports, LangChain passes these campaign details directly to downstream steps to decide which audience needs attention. Once your chain processes the campaign performance, it can pull specific users with `list_profiles` and instantly run `add_profiles_to_list`. This turns raw campaign analysis into immediate audience updates without writing glue code.

Track MCP Server operations with LangSmith visibility

Stop guessing why a contact didn't get updated. When your agent calls `create_profile` or checks properties with `get_profile` over MCP, LangSmith logs the exact payload, latency, and token cost of the tool call. You can see exactly how the ReAct agent parsed the Klaviyo response. If `add_profiles_to_list` fails due to a bad ID format, you will spot the exact step in your trace timeline.

Analyze customer journeys with multi-step chains

Use LangChain to pull your entire marketing setup by running `list_automation_flows` and diving into specific steps with `get_flow_details`. The agent reads the trigger conditions and sequences to map out your customer touchpoints. The output feeds directly into your analysis step, letting the agent suggest updates to your welcome series or abandoned cart setups based on actual live flow structures.

Setup guide

Set up Klaviyo (Marketing Automation) MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Klaviyo (Marketing Automation) tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "klaviyo-marketing-automation-mcp": {
        "transport": "http",
        "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    }
}) as client:
    tools = client.get_tools()

    agent = create_react_agent(
        ChatOpenAI(model="gpt-4o"),
        tools,
    )
    result = await agent.ainvoke({
        "messages": "List recent Klaviyo (Marketing Automation) transactions"
    })
    print(result["messages"][-1].content)

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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.

Why Choose Vinkius

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Common questions about Klaviyo (Marketing Automation) MCP in LangChain

Install the adapter package and use MultiServerMCPClient to connect to the Vinkius endpoint. Call client.get_tools() and pass them to create_agent to give your LangChain agent direct access to tools like list_profiles.

Yes. Your LangChain agent can call list_audience_segments to find high-value targets, then decide to call get_profile to check their CLV, and finally add them to a win-back list.

It traces every single execution of tools like get_campaign_details or list_lists. You see the raw JSON inputs, response times, and any API errors directly in your LangSmith dashboard.

Absolutely. You can fetch local customer purchase history from your database and use create_profile to sync that data into Klaviyo in the same execution chain.

Yes. Vinkius runs the server in an isolated V8 sandbox, meaning your customer email addresses and phone numbers are never stored on our platform. The credentials you use to fetch profiles via get_profile are securely handled and scoped only to your active session.

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