Lightning-fast insights for BFCM: How to use Klaviyo’s MCP server to supercharge your strategy

Every retailer knows that the weeks leading up to Black Friday and Cyber Monday (BFCM) are a sprint. Teams are finalizing campaign plans, optimizing automations, and watching real-time data like hawks. But what if you could skip the dashboards, bypass the exports, and just ask:
- “Which campaigns had the best click-through rates last November?”
 - “Which segments are showing signs of churn?”
 - “Where should I spend time optimizing before Black Friday?”
 
And get those answers back in seconds, powered directly by your own Klaviyo data? That’s what the Klaviyo MCP (Model Context Protocol) server makes possible: lightning-fast insights, directly from your own account, through AI tools like Claude or ChatGPT.
What the MCP server is, and why you should care
The MCP server is Klaviyo’s secure AI bridge connecting your Klaviyo data with large language models (LLMs) like Claude, Cursor, or ChatGPT.
It allows you to talk to your data in natural language and get structured, accurate answers back without code, exports, or spreadsheets.
We built the MCP because AI works best when it works with your data. When you connect your Klaviyo data to AI, you turn generic answers into specific insights like identifying high-performing flows, finding underperforming segments, or spotting revenue opportunities before your competitors do.
In short, the MCP server helps you cut through the noise, find what matters most, and act on it faster than ever.
How the MCP server connects your data to AI
Think of the MCP as a translator between Klaviyo and AI tools. Instead of juggling siloed dashboards or custom scripts, MCP gives you secure, structured access to Klaviyo’s reporting and analytics endpoints—the same data your account already uses—but now you can query it conversationally.
That means instead of asking a data analyst to pull a report, you can type: “Show me my top five performing campaigns by revenue in the past 90 days.” And MCP will pull the data directly — ready for your AI assistant to analyze, summarize, or even suggest next steps.
How to choose between local and remote setup
Depending on how hands-on you are, there are two ways to set up your MCP connection:
- Remote-hosted (recommended for most users): This is the easiest option. You connect via a secure OAuth process which means no coding or manual configuration. Just link your Klaviyo account, and you’re ready to go. It’s ideal for browser-based AI tools like Claude, ChatGPT or VS Code.
 - Local-hosted (for advanced users): You can also run the MCP locally on your computer via desktop apps like Claude Desktop and Cursor for maximum speed and control. This setup uses a Klaviyo Private API Key (created in your account) to link directly to your data. Power users managing multiple clients can add several accounts in one configuration file.
 
Either way, setup takes just a few minutes, and then you’re ready to start chatting with your data.
4 powerful ways to use MCP before BFCM
During BFCM, speed and precision are everything. The MCP enables you to quickly diagnose issues, compare performance across campaigns, and identify optimization opportunities without waiting for scheduled reports or data team availability.
Beyond just pulling numbers, your preferred LLM can analyze trends, suggest A/B test opportunities, identify underutilized segments, and recommend specific tactical adjustments based on your actual account data.
Here are four high-impact ways marketers are using our MCP to drive results before, during, and after the biggest sales weekend of the year.
1. Instantly analyze campaign and flow performance
Get a quick, conversational readout of which campaigns and automations are performing best, or which ones need attention. You can ask things like: “Which campaigns have the highest click-through rates over the past 90 days?”
MCP uses reporting tools like get_campaign_report and get_flow_report behind the scenes to deliver an instant snapshot. You’ll see:
- Top and low performers
 - Areas with performance spikes or drops
 - AI-generated recommendations for optimization
 
It’s like having a marketing analyst working alongside you, but faster.
2. Refine your audiences and segmentation
Use MCP to explore which audience segments are most engaged or which are at risk of unsubscribing.
You can even ask your AI assistant to suggest new segments (like a “VIP reactivation” audience) or suppression lists to clean up your sends before peak season.
That means you can reduce fatigue, boost deliverability, and ensure your BFCM messages reach the people most likely to convert.
3. Compare and optimize your flows
Before BFCM, you want your automations, like your welcome series firing on all cylinders.
With MCP, you can easily compare flow performance side by side (for example, an old vs. a new welcome flow), see where drop-offs happen, and even ask your AI tool to suggest improvements.
No more digging through multiple reports or exports. MCP brings it all into one view.
4. Generate campaigns directly from insights
Here’s where things get really exciting: if your MCP setup includes write permissions (via your API key), you can go beyond insights and turn them into action.
That means you can ask your AI assistant to:
- Draft a campaign in Klaviyo
 - Suggest subject lines or send times based on performance data
 - Pre-populate audience and creative fields
 
You stay in control with the ability to review and finalize everything in Klaviyo, but the heavy lifting is done for you.
What marketers are loving about MCP
Marketers and partners already using the Klaviyo MCP are seeing huge time savings, replacing hours of analysis with a few minutes of conversation. Some of the most common use cases we see are:
- Campaign performance: See campaign metrics like opens, clicks, and conversions at a glance.
 - Flows performance: Review automated flow performance and engagement metrics.
 - Product insights: Identify top-performing products and revenue trends.
 - Profile lookups: Learn more about a specific customer’s journey, engagement, and purchase history.
 - Audience optimization: Get segmentation recommendations based on performance and behavior.
 - Campaign builder: Generate draft campaigns with audience, subject-line and send-time suggestions.
 

Some of these use cases we have even engineered as prompt templates that are immediately available from tools like Claude or Cursor:

Faster insights mean a smarter BFCM
The best retail marketers don’t just move fast, they learn fast. The MCP server gives you the power to analyze, iterate, and act without waiting on reports or dependencies.
So before your BFCM campaigns go live, connect Klaviyo’s MCP server with your favorite AI platform. Start asking your data the questions that matter most, and use those insights to fine-tune every message, segment, and send.
Because when everyone else is refreshing dashboards, you’ll already know what’s working, and what to double down on.

Related content

Learn how B2C brands create a seamless customer experience by connecting data, channels, and service to deliver effortless, personalized shopping.

Make BFCM easier with Customer Agent, the AI shopping assistant that helps customers find what they love faster and boosts every sale.

Discover how AI shopping is changing online retail and get 6 practical ways to optimize your brand’s presence for this new era.