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Using MCP tools as an Open API

Use Polar API — via the Model Context Protocol (MCP) — as an open API, detailing available endpoints, authentication, and a quick-start workflow for generating reports and accessing dashboard data.

Kellie Reese avatar
Written by Kellie Reese
Updated today

The Polar MCP (Model Connection Protocol) can be used not only to connect Polar Analytics with AI assistants (like ChatGPT or Claude) and workflow tools (like Make or n8n), but also as an open API.

This means you can use the Polar MCP endpoint directly to query your Polar data from any environment — whether that’s your own data app, custom dashboard, or internal automation script.

Using MCP as an open API gives you the flexibility to:

  • Retrieve real-time metrics from your Polar workspace.

  • Embed Polar data into external systems or applications.

  • Extend Polar’s capabilities into custom business workflows.

In this guide, you’ll learn how to:

  1. Access and authenticate with the Polar MCP API.

  2. Send and receive data using standard HTTP requests.

  3. Implement use cases for automation and integration with external tools.

Understanding Polar MCP as an Open API

The Model Connection Protocol (MCP) powers the connection between your Polar workspace and external tools. At its core, MCP is a REST-based interface that exposes a secure and structured way to query your Polar data directly.

When used as an open API, MCP functions similarly to any modern API endpoint — allowing you to issue requests using standard HTTP methods like POST, authenticate securely, and receive structured JSON responses containing your data.

Why Use Polar MCP as an Open API?

  • No coding complexity — It’s simpler than managing your own warehouse queries.

  • Universal compatibility — Works with any system that supports HTTPS requests (e.g., Zapier, Postman, or Python scripts).

  • Real-time data access — Returns live metrics from your Polar database, always up-to-date.

  • Custom flexibility — You control how and where the data is used (dashboards, alerts, or external apps).

Example:
You can use MCP as an open API to power a custom “Executive Dashboard” that displays real-time revenue, ad spend, and ROAS directly from Polar — without manually exporting reports.

Authenticating and Querying the MCP API

To use MCP as an open API, you’ll need your workspace credentials and the official MCP endpoint:

MCP Endpoint

https://api.polaranalytics.com/mcp

Authentication

The MCP uses Basic Authentication.
You’ll log in with the same email and password you use for Polar Analytics.

Example Request (Using cURL)

You can test your connection with a simple POST request:

curl -X POST https://api.polaranalytics.com/mcp \   -u "your_email@example.com:your_password" \   -H "Content-Type: application/json" \   -d '{     "query": "SELECT date, channel, spend, revenue, roas FROM marketing_performance WHERE date >= CURRENT_DATE - INTERVAL '1 DAY'"   }'

Response Example:

[   {     "date": "2025-12-10",     "channel": "Facebook Ads",     "spend": 1240.50,     "revenue": 6120.00,     "roas": 4.93   },   {     "date": "2025-12-10",     "channel": "Google Ads",     "spend": 980.20,     "revenue": 4015.70,     "roas": 4.09   } ]

Notes:

  • The "query" field accepts any valid SQL-like request compatible with Polar’s data model.

  • The response is always returned in standard JSON format, ready to parse into your preferred system.

  • All queries run against your live Polar workspace data, ensuring you get real-time metrics.

Common Use Cases and Best Practices

1. Integrating Polar Data into Custom Dashboards

You can use MCP as an open API to feed live Polar metrics into tools like Google Data Studio, Power BI, or internal BI dashboards.
For example, run a scheduled script that requests revenue and ROAS data daily, and visualize it in your custom dashboard.

2. Automating Alerts or Reports

Connect MCP to automation platforms like n8n, Make, or Zapier to trigger events when specific conditions are met.
Example:

  • Send a Slack alert when ROAS drops below 2.

  • Email a daily revenue summary to your marketing team.

3. Building Internal Data Apps

Developers can use MCP as a backend API to build lightweight web or mobile apps that display KPIs directly from Polar.
This is ideal for ecommerce or marketing teams that need to access core metrics without logging into Polar each time.

Best Practices for Using MCP as an Open API

  1. Use Efficient Queries:
    Keep queries targeted — request only the data you need (e.g., by date range, campaign, or channel).

  2. Secure Your Credentials:
    If you’re embedding the MCP connection into scripts or applications, store your Polar credentials securely (e.g., environment variables, vaults).

  3. Schedule Responsibly:
    Avoid excessive calls. If you’re refreshing dashboards or reports, a daily or hourly frequency is usually sufficient.

  4. Leverage Filters:
    Use WHERE conditions in your queries to reduce unnecessary data load and improve performance.

Using Polar MCP as an open API gives you powerful, flexible access to your Polar workspace data — allowing you to integrate, automate, and extend your analytics capabilities beyond the platform.

Key takeaways:

  • The MCP endpoint (https://api.polaranalytics.com/mcp) lets you query live data securely using HTTP requests.

  • You can integrate Polar metrics into dashboards, automations, and custom apps.

  • Always secure your credentials and optimize queries for best performance.

For further guidance, explore:

Related Articles
Installing the Polar MCP
Installing The Polar MCP with Claude
Installing The Polar MCP in n8n (with Gmail)
Installing the Polar MCP with n8n with Slack
Use Polar MCP in Make
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