The Polar MCP (Model Connection Protocol) enables you to securely connect your Polar Analytics data with external automation tools such as Make.
This integration allows you to automate your data-driven workflows — from sending daily performance summaries to posting real-time revenue alerts in Slack, or updating reports in Google Sheets — without any manual effort.
In this guide, you’ll learn how to:
Connect your Polar MCP endpoint to Make.
Build automated workflows that fetch and distribute Polar data.
Use examples and best practices to create efficient, reliable automations.
Connecting Polar MCP to Make
Step 1. Get your Polar MCP Endpoint
Before setting up Make, log in to your Polar Analytics account and copy your Polar MCP endpoint URL:
https://api.polaranalytics.com/mcp
Make sure your workspace is fully connected to your data sources (e.g., Shopify, Meta Ads, Google Ads).
Step 2. Set Up a New Scenario in Make
Log in to your Make account at https://www.make.com.
Click Create a new scenario.
Add your first module and select HTTP from the available app list — this module will handle communication with the Polar MCP API.
Step 3. Configure the HTTP Request Module
In your HTTP module, configure the following:
Method:
POSTURL:
https://api.polaranalytics.com/mcp
Headers:
Content-Type:application/json
Authentication: Basic Authentication
Username: Your Polar Analytics email
Password: Your Polar Analytics password
Request Body:
Add the query you want to send to Polar MCP, formatted in JSON. Example:{ "query": "SELECT date, channel, spend, revenue, roas FROM marketing_performance WHERE date >= CURRENT_DATE - INTERVAL '1 DAY'" }
Click OK, then Run once to test the connection.
If successful, the module will return a JSON response with your Polar data.
Creating Automated Data Workflows
Once you’ve successfully connected Polar MCP, you can chain additional Make modules to automate workflows across your tech stack.
Here are some popular use cases:
1. Send Daily Performance Updates to Slack
Step 1: After your HTTP module, add a Slack module.
Step 2: Choose the Send a Message action.
Step 3: Format the message using variables from the Polar MCP output, such as:
📊 *Daily Marketing Performance* Date: {{date}} Channel: {{channel}} Spend: ${{spend}} Revenue: ${{revenue}} ROAS: {{roas}}Step 4: Schedule the scenario to run daily at a specific time (e.g., 8:00 AM).
2. Automatically Update a Google Sheet
Step 1: Add a Google Sheets module.
Step 2: Select “Add a Row” as your action.
Step 3: Map your Polar MCP output fields to Google Sheets columns (Date, Channel, Spend, Revenue, ROAS).
This ensures your marketing data updates automatically each day — no manual downloads required.
3. Trigger Alerts for Key Performance Changes
Add a Router or Filter module in Make to define conditions (e.g., ROAS < 2.0).
Send an alert via Slack, Gmail, or SMS whenever the condition is met.
This use case helps you proactively monitor campaign performance and take immediate action.
Best Practices for Using Polar MCP with Make
Here are a few recommendations to help you build reliable, efficient workflows:
1. Use Efficient Queries
Only request the data you need — avoid overly large date ranges or unnecessary fields. Smaller queries reduce API load and return results faster.
2. Enable Scheduling
Use Make’s Scheduler to run automations at regular intervals (daily, weekly, or hourly). This ensures your reports and alerts are always up to date.
3. Monitor Error Handling
Set up error notifications in Make to alert you if a scenario fails (e.g., due to a connection timeout or invalid credentials).
4. Keep Credentials Secure
If multiple users manage the Make account, ensure your Polar MCP credentials are stored securely in Make’s built-in authentication manager.
5. Combine Data Sources
Make can integrate other tools — like your CRM or inventory system — alongside Polar. Combining these data points can unlock deeper insights and automations (e.g., linking ad spend data with sales pipeline conversions).
By connecting Polar MCP with Make, you can automate workflows, eliminate repetitive reporting, and ensure your team receives fresh, actionable data where they need it most.
Key takeaways:
Use the MCP endpoint (
https://api.polaranalytics.com/mcp) to connect Polar to Make via HTTP.Build automated workflows to push Polar data into Slack, Google Sheets, or email reports.
Combine filtering, scheduling, and alerting in Make to create powerful, hands-free reporting systems.
For related resources, explore: