How to Use the api.video MCP in VS Code Copilot

Q: How do I share the api.video MCP server with my team in VS Code Copilot?

Add the api.video server configuration to your project's .vscode/mcp.json file and commit it so your team can use it with VS Code Copilot. Every developer on your team who uses VS Code Copilot will instantly have access to the api.video tools.

Share api.video assets, manage player themes, and check video analytics with your team using VS Code Copilot.

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Connect api.video MCP to VS Code Copilot

Create your Vinkius account to connect api.video 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 api.video with VS Code Copilot

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Manage api.video assets in VS Code Copilot

The `list_videos` tool lets your team search your entire api.video library directly inside the VS Code Copilot chat panel. Adding this MCP Server to your `.vscode/mcp.json` file makes finding specific api.video assets by title or tags simple for everyone using VS Code Copilot. When setting up a new layout, the `list_player_themes` tool lets VS Code Copilot pull your custom api.video styling configurations. This MCP Server ensures everyone on your team uses the correct api.video player theme inside VS Code Copilot.

Update api.video details inside VS Code Copilot

The `update_video_details` tool modifies your api.video titles, tags, and descriptions directly from the VS Code Copilot chat panel. This makes it easy to update api.video metadata without logging into the api.video web console outside of VS Code Copilot. If you need to check if an upload succeeded, VS Code Copilot uses `get_video_details` to retrieve the current encoding status from api.video. Your VS Code Copilot agent reads this payload to tell you if the api.video file is ready.

Analyze api.video performance in VS Code Copilot

The `get_video_analytics` tool fetches detailed performance data from api.video directly into your VS Code Copilot interface. Your team can analyze api.video viewer trends and playback issues without leaving VS Code Copilot. To keep your testing environment clean, developers can use `delete_video` to remove obsolete api.video containers via VS Code Copilot. This keeps your api.video storage optimized during team-wide development cycles in VS Code Copilot.

Setup guide

Set up api.video 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 api.video 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 api.video tools listed. Try asking: "List my recent api.video transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

{
  "mcpServers": {
    "apivideo-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 api.video. 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 api.video MCP in VS Code Copilot

Add the api.video server configuration to your project's `.vscode/mcp.json` file and commit it so your team can use it with VS Code Copilot. Every developer on your team who uses VS Code Copilot will instantly have access to the api.video tools.

Yes, you can manage them easily in VS Code Copilot. VS Code Copilot uses `list_video_captions` and `list_video_chapters` to fetch the subtitle tracks and chapter markers for any video in your api.video library.

You can ask VS Code Copilot to initialize an api.video container, and it will invoke `create_video_object`. This returns a new api.video ID and upload token directly in your VS Code Copilot chat.

Yes, this MCP Server works with VS Code Copilot Enterprise and individual plans. It runs locally or via secure remote endpoints, adhering to your organization's security policies for api.video data.

The server only processes your api.video analytics, captions, and player themes when you run a query inside VS Code Copilot. All api.video authentication tokens are managed locally on your machine, preventing external exposure of your video library.

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