How to Use the api.video MCP in Cursor

Q: How do I add the api.video MCP server to my Cursor project?

Create a .cursor/mcp.json file in your Cursor project root and add the api.video server configuration. Once saved, Cursor will automatically start the server and let your Cursor AI agent invoke the api.video tools.

Generate code using live api.video metadata and test video endpoints directly in the Cursor Agent terminal.

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Connect api.video MCP to Cursor

Create your Vinkius account to connect api.video to Cursor 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 Cursor

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Inject live api.video metadata into Cursor code

With Cursor in Agent mode, the `get_video_details` tool injects live api.video metadata directly into your active code file. This lets your Cursor agent write accurate player components using real api.video schemas instead of placeholder data. When styling your player in Cursor, the `list_player_themes` tool fetches your actual design configurations from api.video. Your Cursor editor uses these real api.video theme IDs to write working frontend code on the fly.

Build and test api.video assets with this MCP Server

The `create_video_object` tool lets your Cursor agent initialize new api.video containers directly from your editor chat or terminal. This MCP Server lets you test your api.video configurations without leaving the Cursor workspace. If an api.video test upload fails, your Cursor agent runs `delete_video` to remove the asset from api.video. This keeps your active api.video library clean while you iterate on your code inside Cursor.

Manage api.video captions inside Cursor

The `list_video_captions` tool reads active subtitle tracks for any api.video asset directly into your Cursor editor. Your Cursor agent can analyze these tracks to help you debug api.video sync issues or generate translation files. You can also call `list_video_chapters` to inspect the api.video structure inside Cursor. This MCP Server gives your Cursor editor the exact api.video timestamps to build custom interactive video navigation menus.

Setup guide

Set up api.video MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the api.video MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent api.video transactions." If the MCP tools are loaded correctly, Cursor will call the api.video tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/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 Cursor

Create a `.cursor/mcp.json` file in your Cursor project root and add the api.video server configuration. Once saved, Cursor will automatically start the server and let your Cursor AI agent invoke the api.video tools.

Yes, Cursor can modify your api.video settings directly. By using `update_video_details`, the Cursor agent can change api.video titles, descriptions, and tags based on your active code files.

Ask your Cursor agent to check your video performance, and it will invoke `get_video_analytics` to pull api.video data. The raw api.video viewer metrics will be printed directly in your Cursor editor sidebar.

No, you can configure the api.video server globally or per-project in Cursor. The MCP Server runs in the background and communicates with the api.video API using your secure Cursor developer token.

This server only touches your api.video metadata, player themes, and analytics inside Cursor. Your api.video credentials are encrypted locally in your Cursor configuration, ensuring your video assets and keys never leave your machine.

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