Klaviyo MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Create Profile, Get Profile, List Automated Flows, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Klaviyo as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
Ask AI about this App Connector for LlamaIndex
The Klaviyo app connector for LlamaIndex 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
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Klaviyo. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in Klaviyo?"
)
print(response)
asyncio.run(main())
* 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.
LlamaIndex agents combine Klaviyo tool responses with indexed documents for comprehensive, grounded answers. Connect 12 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex
When LlamaIndex 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 a new profile
Get profile details
List automated flows
List sent campaigns
List email templates
List marketing lists
List tracking metrics
List all customer profiles
List dynamic segments
List account tags
List active webhooks
g. "Viewed Product"). Record a customer event
Connect Klaviyo to LlamaIndex via MCP
Follow these steps to wire Klaviyo into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the Klaviyo MCP Server
LlamaIndex provides unique advantages when paired with Klaviyo through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Klaviyo tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Klaviyo tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Klaviyo, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Klaviyo tools were called, what data was returned, and how it influenced the final answer
Klaviyo + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Klaviyo MCP Server delivers measurable value.
Hybrid search: combine Klaviyo real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Klaviyo to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Klaviyo for fresh data
Analytical workflows: chain Klaviyo queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Klaviyo in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Klaviyo to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpKlaviyo + LlamaIndex FAQ
Common questions about integrating Klaviyo MCP Server with LlamaIndex.