How to Use the Tubular MCP in Cline

Q: How do I access audience data with Tubular and Cline?

You use getaudienceoverlap to analyze shared viewers between two entities. The resulting JSON object is structured so you can pipe it directly into your dashboard component.

Q: Does the MCP Server support creator benchmarking in Cline?

Yes, you run a function that calls getcreatorsummary on multiple creator IDs. The output provides key metrics like total reach and average engagement rate for easy comparison.

Q: What if I need to check API health with Tubular and Cline?

You can write a simple test function that calls checkapihealth. This ensures your build pipeline won't break because of an unexpected outage. It’s good practice.

Q: What specific data type can I retrieve using Tubular and Cline?

You can pull getvideoinsights, which gives deep metrics on video performance, including the number of views and engagement patterns.

Build data dashboards using Tubular's MCP Server with Cline.

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Connect Tubular MCP to Cline

Create your Vinkius account to connect Tubular 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 Tubular with Cline

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Create full performance dashboards with the MCP Server.

You tell Cline to build a dashboard component that analyzes video metrics. It writes code calling `get_video_insights` for multiple IDs and outputs a clean data table in your component file. If you need a comparison, it can write a function using `get_creator_summary`. This lets you benchmark several creators against each other right inside the dashboard.

Write scripts to track competitor trends with Cline.

Need to monitor trending content? You tell Cline to call `get_video_trends`, and it writes a script that loops through the list of trending IDs. For each ID, it pulls demographics using `get_video_demographics`. This is ideal for creating automated reporting components that update every night.

Automate sponsor listing and auditing with Cline.

Cline can write a task to list all known sponsors via `list_sponsors`. Then, it fetches associated campaigns using `list_sponsored_campaigns`. It's perfect for building an internal tooling component that keeps your brand partner data accurate without manual updates.

Setup guide

Set up Tubular 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 tubular-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 Tubular 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": {
    "tubular-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Common questions about Tubular MCP in Cline

You use `get_audience_overlap` to analyze shared viewers between two entities. The resulting JSON object is structured so you can pipe it directly into your dashboard component.

Yes, you run a function that calls `get_creator_summary` on multiple creator IDs. The output provides key metrics like total reach and average engagement rate for easy comparison.

You can write a simple test function that calls `check_api_health`. This ensures your build pipeline won't break because of an unexpected outage. It’s good practice.

It handles structured social video performance metrics, including demographics and trends across YouTube, Facebook, and TikTok. You get clean JSON objects to consume.

You can pull `get_video_insights`, which gives deep metrics on video performance, including the number of views and engagement patterns.

Use it with your favorite AI tools

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