How to Use the Tubular MCP in VS Code Copilot

Q: How do I use Tubular with VS Code Copilot to benchmark creators?

You can start by running getcreatorsummary on a competitor's profile. Then, you pass that data into your code and compare it against internal metrics using other tools like getvideodemographics. The whole team gets consistent results.

Q: Does Tubular support monitoring video performance across teams in VS Code Copilot?

Yes. You can use getvideoinsights to pull technical data for any piece of content, and then write code that compares those insights against historical trends using getvideotrends. It’s highly consistent.

Q: If we are launching new campaigns, how does Tubular work with VS Code Copilot?

You first list all existing sponsors via listsponsors. Then, you use listsponsoredcampaigns to see active efforts. This data allows your team to write code that flags gaps or overlaps in current coverage.

Q: How often should I check the connection between Tubular and VS Code Copilot?

It's smart practice to run getapiratelimits at the start of your day. This prevents unexpected failures when the team hits peak usage times.

Standardize social video analytics across the whole team using VS Code Copilot.

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Connect Tubular MCP to VS Code Copilot

Create your Vinkius account to connect Tubular to VS Code Copilot 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 VS Code Copilot

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Analyze Video Insights for Teams

Every developer can check a specific piece of content by calling `get_video_insights`. This provides a deep dive into performance metrics that the whole team uses to make decisions. You can also track what's hot right now with `get_video_trends`. It lists trending videos, giving everyone an immediate idea of where market attention is focused.

Identify Target Audiences

Figuring out who your audience is remains crucial. Use `get_audience_demographics` to pull reports on specific video viewership. This data helps the whole group define better targeting parameters. Comparing groups gets easier with `get_audience_overlap`. It pinpoints shared viewers between different market segments, something every product manager needs.

Manage Brand Partnerships

For enterprise-level oversight, use `list_sponsors` to maintain a master list of all brand partners. This ensures everyone on the team is working with the correct source data. You can also build campaign tracking logic using `list_sponsored_campaigns`, giving clear visibility into paid efforts across the board.

Setup guide

Set up Tubular MCP in VS Code Copilot

Prerequisites

VS Code 1.99 or later with GitHub Copilot extension
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create .vscode/mcp.json in your workspace.
2

Add the Tubular MCP

Paste the JSON snippet shown on the right into your .vscode/mcp.json. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Switch to Agent mode

Open Copilot Chat (Cmd+Shift+I / Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes.
4

Verify the connection

In the Copilot Chat input, type # to list available tools. You should see the Tubular tools listed. Try asking: "List my recent Tubular transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

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

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Common questions about Tubular MCP in VS Code Copilot

You can start by running `get_creator_summary` on a competitor's profile. Then, you pass that data into your code and compare it against internal metrics using other tools like `get_video_demographics`. The whole team gets consistent results.

Yes. You can use `get_video_insights` to pull technical data for any piece of content, and then write code that compares those insights against historical trends using `get_video_trends`. It’s highly consistent.

You first list all existing sponsors via `list_sponsors`. Then, you use `list_sponsored_campaigns` to see active efforts. This data allows your team to write code that flags gaps or overlaps in current coverage.

It gives you viewing patterns, audience demographics, and creator performance stats across major social platforms. The data is always structured to be easily read into a code variable or function.

It's smart practice to run `get_api_rate_limits` at the start of your day. This prevents unexpected failures when the team hits peak usage times.

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