How to Use the zipperHQ MCP in Cline

Q: Does the MCP Server support listing multiple types of media in Cline?

Yes. You can easily write code that calls both listcontacts to get users, and then use those IDs with getcontactviews for targeted reporting.

Build and test ZipperHQ dashboards using Cline.

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Connect zipperHQ MCP to Cline

Create your Vinkius account to connect zipperHQ to Cline and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup zipperHQ with Cline

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Code Component for Contact Lists

You can write a component that displays all contacts by calling `list_contacts`. If you need to build out an analytics dashboard, the MCP Server provides the data. Cline writes the necessary API calls and imports this structured contact list directly into your project. Similarly, if you want to track video views for specific recipients, Cline can use `get_contact_views` to pull metrics and structure them into a usable component.

Run Tests Against MCP Server Data

Need to verify that the ZipperHQ API is reachable? Write a test file that calls `check_zipper_status`. Cline runs this test, confirming connectivity before your code even hits production. It handles the setup and reporting for you. You can also write tests around video retrieval by calling `get_video` to ensure your component correctly processes video details.

Implement Video Search Functions

Create a search utility using `search_videos`. Cline generates the function signature and writes the implementation that sends keywords to the MCP Server. This means you don't have to manually write the API wrapper every time. If your dashboard needs to display video analytics, just tell Cline to use `get_video_analytics` for a specific ID, and it populates the data structure.

Setup guide

Set up zipperHQ MCP in Cline

Prerequisites

VS Code with Cline extension installed
Active Vinkius subscription with a valid endpoint token

1

Open Cline MCP settings

Click the Cline icon in the VS Code sidebar to open the Cline panel. Then click the MCP Servers icon (server stack) at the top-right corner of the panel.
2

Add a remote server

Click "Remote Servers" at the top, then click "Add Remote MCP". In the Name field, type zipperhq-mcp. In the URL field, paste your Vinkius endpoint: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp. Get your token from cloud.vinkius.com.
3

Enable the server

After saving, the server appears in the Cline MCP panel. Toggle the switch to enable it. The status indicator turns green when the connection is live.
4

Start using tools

Return to the Cline chat and ask: "Check my latest zipperHQ refund status." Cline will discover the available tools and request your approval before invoking each one — giving you full control over every action.

Cline MCP Settings

{
  "mcpServers": {
    "zipperhq-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by zipperHQ. 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 zipperHQ MCP in Cline

Open the Cline sidebar and select the MCP Servers icon. You can use the Marketplace or add the server URL directly to connect it for immediate use in your code.

The server accesses contact information, video analytics data, and account details. Always remember that sensitive communication metrics are involved when running tasks through Cline.

Absolutely. You can write a full background job to pull all recent videos using `get_recent_videos` and save that list of video emails into a database component.

Yes. You can easily write code that calls both `list_contacts` to get users, and then use those IDs with `get_contact_views` for targeted reporting.

It acts as a data source you write against. It provides structured access to communication metrics, contacts, and videos so you can build out complex features without making raw HTTP calls.

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