Klaviyo MCP MCP | Api Key Klaviyo MCP connector for AI agents

CALL ANY TOOL

List campaigns, flows, and subscriber lists. Retrieve metrics, profiles, and campaign performance.

klaviyo_campaigns_list

List campaigns

List Klaviyo email and SMS campaigns with status filter.

Parameters

Name

Type

Required

Description

status

string

Optional

Status: draft, scheduled, sent, cancelled

channel

string

Optional

Channel: email or sms

limit

integer

Optional

Max campaigns

klaviyo_campaign_get

Get campaign

klaviyo_lists_list

List lists

klaviyo_metrics_list

List metrics

klaviyo_flows_list

List flows

klaviyo_profile_get

Get profile

Build your Agent

Drop the toolkit in, point it at the user, and your marketing automation agent can use Klaviyo MCP from the first run.

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import { ScalekitClient } from "@scalekit-sdk/node";
import { DynamicStructuredTool } from "@langchain/core/tools";
import { createReactAgent } from "@langchain/langgraph/prebuilt";
import { z } from "zod";

const sk = new ScalekitClient(envUrl, clientId, clientSecret);

const { tools } = await sk.tools.listScopedTools("user_123", {
  filter: { connectionNames: ["klaviyomcp"], toolNames: ["klaviyo_campaigns_list", "klaviyo_campaign_get", "klaviyo_lists_list"] },
  pageSize: 100,
});

const lcTools = tools.map((t) => new DynamicStructuredTool({
  name: t.tool.definition.name,
  description: t.tool.definition.description,
  schema: z.object({}).passthrough(),
  func: async (args) => {
    const { data } = await sk.tools.executeTool({
      toolName: t.tool.definition.name,
      identifier: "user_123",
      params: args,
    });
    return JSON.stringify(data);
  },
}));

const agent = createReactAgent({ llm, tools: lcTools });

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import { ScalekitClient } from "@scalekit-sdk/node";
import OpenAI from "openai";

const sk = new ScalekitClient(envUrl, clientId, clientSecret);
const openai = new OpenAI();

const { tools } = await sk.tools.listScopedTools("user_123", {
  filter: { connectionNames: ["klaviyomcp"], toolNames: ["klaviyo_campaigns_list", "klaviyo_campaign_get", "klaviyo_lists_list"] },
  pageSize: 100,
});

const llmTools = tools.map((t) => ({
  type: "function",
  function: {
    name: t.tool.definition.name,
    description: t.tool.definition.description,
    parameters: t.tool.definition.input_schema,
  },
}));

const resp = await openai.responses.create({
  model: "gpt-4o", input: prompt, tools: llmTools,
});

import { ScalekitClient } from "@scalekit-sdk/node";
import Anthropic from "@anthropic-ai/sdk";

const sk = new ScalekitClient(envUrl, clientId, clientSecret);
const anthropic = new Anthropic();

const { tools } = await sk.tools.listScopedTools("user_123", {
  filter: { connectionNames: ["klaviyomcp"], toolNames: ["klaviyo_campaigns_list", "klaviyo_campaign_get", "klaviyo_lists_list"] },
  pageSize: 100,
});

const llmTools = tools.map((t) => ({
  name: t.tool.definition.name,
  description: t.tool.definition.description,
  input_schema: t.tool.definition.input_schema,
}));

const msg = await anthropic.messages.create({
  model: "claude-sonnet-4-6", max_tokens: 1024,
  tools: llmTools,
  messages: [{ role: "user", content: prompt }],
});

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import { Agent } from "@google/adk/agents";
import {
  MCPToolset, StreamableHTTPConnectionParams,
} from "@google/adk/tools/mcp";

const toolset = new MCPToolset({
  connectionParams: new StreamableHTTPConnectionParams({
    url: "https://mcp.scalekit.com/klaviyomcp",
    headers: { Authorization: `Bearer ${userScopedToken}` },
  }),
});

const agent = new Agent({
  name: "agent", model: "gemini-2.0-flash",
  tools: await toolset.getTools(),
});

Try these prompts

Paste any prompt into your agent to start using Klaviyo MCP.

Campaigns & flows

Copy the prompt

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List all active flows.

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Which campaigns were sent this week?

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Get stats for [campaign name].

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List flows with CTR above 10%.

Lists & profiles

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List all subscriber segments.

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Get size of [list name].

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Find profile for [email].

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Which lists have the most unsubscribes this month?

Reporting

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Top 3 flows by revenue attributed.

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Open rate trend for [campaign series].

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Unsubscribe rate by segment.

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Compare [campaign A] vs [campaign B] performance.

SEE HOW AUTH WORKS

Users authorize Klaviyo MCP once. Their credentials stay vaulted, every call is checked, and every action is logged.

1

Authorize

Your user connects

Klaviyo MCP

once. We tie it to their identity and the meetings they approved — no shared bot account, no org-wide access

Who:

user ‘A’

when:

Once per user

access:

Limited to user

2

Store

Their

Klaviyo MCP

token lives in a vault scoped to them. User A's meetings are never reachable by an agent acting for user B, even on the same connection

vault:

encrypted

scope:

per-user

tokens:

auto-refreshed

3

Resolve

When your agent calls a

Klaviyo MCP

tool, we fetch the right token server-side. It never touches your agent, never appears in the LLM context, never shows up in your logs

speed:

~40ms

check:

before every call

seen by:

nobody

4

Audit

Every

Klaviyo MCP

tool call is logged — who triggered it, which meeting was fetched, what came back. 90 days of history, tied to the user who authorized it

history:

90 days

export:

SIEM-ready

logged:

every call

Test other agents

Same per-user auth pattern across other marketing automation agents and MCP connectors. Working code, live demos, fork what fits.

SALES

Outbound prospecting agent

Build targeted prospect lists with Apollo, enrich with firmographic data, and draft personalised outreach. Runs on a schedule.

Apollo

View agent

GTM

HubSpot to Slack updates agent

Watch HubSpot deal stage changes and post structured updates to the right Slack channel. Reps stop checking the CRM all day.

HubSpot

Slack

View agent

Why Scalekit

Secure your agent's access. Connectors ship in minutes

Other connector libraries treat auth as a demo afterthought. Scalekit starts with user identity, scope enforcement, and audit.

01.

Shared tokens break per-user analytics

A shared token looks fine in a demo. In production every call looks like a service account. Scalekit resolves the real user credential so attribution, audit, and scope stay accurate.

// shared token
 audit → bot_service_account
 user_filter → broken

 // scalekit
 audit → user_abc
 scope → enforced ✓

02.

Authentication is not authorization

03.

Multi-tenancy is architectural

04.

Klaviyo MCP today. Others tomorrow.

“Our agents act across Salesforce, Gong, Google Drive, and more, on behalf of every customer. Scalekit behind the scenes meant we can keep adding tools without ever rebuilding how credentials or tool calling work.”

Venu Madhav Kattagoni

Head of Engineering / Von

FAQs

Frequently Asked Questions

Does the agent access Klaviyo MCP as the user or as a shared key?

As the user. Each workspace member authorizes once and Scalekit resolves their credential at request time. Audit logs attribute every action to that user, not a shared service account.

Where is the Klaviyo MCP api key stored?

In Scalekit's managed AES-256 token vault, namespaced per tenant. Refresh is automatic. Revocation is a single dashboard action. Tokens never appear in prompts, logs, or LLM context.

Can I limit what the agent is allowed to do in Klaviyo MCP?

Yes. Pass a tool name filter to listScopedTools so the marketing automation agent only sees the subset you authorize. Pre-API-call scope checks block out-of-policy actions before the request reaches Klaviyo MCP.

What happens when a user revokes Klaviyo MCP access?

The connection is invalidated on the next tool call. Subsequent requests for that user fail closed with a clear error. Other users in the tenant remain unaffected. The event is logged for audit.

Can the agent see suppressed or unsubscribed profiles?

Yes, if the authorizing user's API key has the profiles scope. Suppressed profiles are returned with their suppression reason. The agent cannot re-subscribe a suppressed profile — that action requires manual review in Klaviyo.

Klaviyo MCP

Tools your marketing automation agent reaches for on Klaviyo MCP, scoped per user.