How to Use the Klaviyo (Marketing Automation) MCP in LlamaIndex
Index your Klaviyo customer profiles and campaign data into LlamaIndex vector stores for natural language querying.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Klaviyo (Marketing Automation) MCP to LlamaIndex
Create your Vinkius account to connect Klaviyo (Marketing Automation) to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Turn Klaviyo audience segments into queryable indexes
Stop writing complex filters to find who your customers are. LlamaIndex pulls your active cohorts using `list_audience_segments` and indexes the results directly into your vector store. You can then query your knowledge base to find out who your high-value customers are. The agent uses `get_profile` to pull specific details and grounds its answers in real-time CRM data.
Query your email campaigns using LlamaIndex RAG
Fetch live marketing data using `list_email_campaigns` and `get_campaign_details` to build a local index of your marketing history. This prevents your agent from hallucinating what your emails actually said. When you ask about your messaging strategy, the agent queries this index and references the actual text returned by the MCP Server, giving you factual answers about what went out.
Index active automation flows via MCP
Pull your entire automation setup using `list_automation_flows` and feed the step-by-step details from `get_flow_details` into LlamaIndex. This creates a searchable map of your customer journeys. You can ask your agent which flows target abandoned carts or welcome sequences. The agent searches the indexed flow structures to pinpoint gaps in your marketing setup.
Set up Klaviyo (Marketing Automation) MCP in LlamaIndex
Prerequisites
- Python 3.10+ installed
-
llama-index-tools-mcppackage - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package providesBasicMCPClientandMcpToolSpec. - 2
Connect with BasicMCPClient
Point
BasicMCPClientto your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports. - 3
Convert to LlamaIndex tools
Call
mcp_tool_spec.to_tool_list_async()to convert all Klaviyo (Marketing Automation) MCP tools into nativeFunctionToolobjects that any LlamaIndex agent can use. - 4
Run with any LLM
Create a
FunctionAgentwith the tools and your preferred LLM. SwapOpenAIforAnthropic,Gemini, or any LlamaIndex-supported provider.
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
# Connect to the MCP
mcp_client = BasicMCPClient(
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)
# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()
# Create and run the agent
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt="You have access to Klaviyo (Marketing Automation) tools.",
)
response = await agent.run("List recent Klaviyo (Marketing Automation) data") 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 (Marketing Automation) MCP in LlamaIndex
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