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How to Use the api.video Alternative MCP in Cursor

Build custom video applications in Cursor by letting your MCP Server write code against live streaming and playback APIs.

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Works with every AI agent you already use

…and any MCP-compatible client

api.video Alternative MCP on Cursor AI Code Editor MCP Client api.video Alternative MCP on Claude Desktop App MCP Integration api.video Alternative MCP on OpenAI Agents SDK MCP Compatible api.video Alternative MCP on Visual Studio Code MCP Extension Client api.video Alternative MCP on GitHub Copilot AI Agent MCP Integration api.video Alternative MCP on Google Gemini AI MCP Integration api.video Alternative MCP on Lovable AI Development MCP Client api.video Alternative MCP on Mistral AI Agents MCP Compatible api.video Alternative MCP on Amazon AWS Bedrock MCP Support
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Connect api.video Alternative MCP to Cursor

Create your Vinkius account to connect api.video Alternative 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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Inject live video IDs into Cursor

Cursor uses `list_videos` and `get_video` to pull actual media IDs into your editor while you write frontend code. Instead of mocking up a fake video array, your agent fetches your real staging data. You see exactly what the API returns before writing the React components to render it. Building secure upload forms gets much faster. Your AI client calls `create_upload_token` to generate delegated credentials on the fly. It then writes the client-side upload logic using that live token, proving the code works immediately instead of waiting for a manual test.

Code broadcast features via MCP Server

Your agent runs `create_live_stream` to generate actual RTMP endpoints when you build streaming features. Cursor injects those real ingest URLs into your backend configuration files automatically. You test the broadcast flow right away without logging into a separate developer console. Customizing the viewer experience happens in the same workflow. Cursor executes `create_player` to build a theme matching your CSS variables. It then takes the resulting player ID and embeds it straight into your video component props.

Automate transcript and chapter metadata

Cursor calls `list_captions` and `list_chapters` to check accessibility metadata directly against the API. If a file needs English subtitles set as the default, the agent runs `update_caption_default` and updates your database logic to match. Managing this data programmatically saves hours. Your AI client can loop through directories, calling `delete_chapter` or `delete_caption` to clean up old files during a migration script. You watch the agent write the cleanup code and execute the API calls simultaneously.

Setup guide

Set up api.video Alternative MCP in Cursor

Prerequisites

  • Cursor installed (macOS, Windows, or Linux)
  • Active Vinkius subscription with a valid endpoint token
  1. 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. 2

    Add the api.video Alternative 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. 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. 4

    Verify the connection

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

.cursor/mcp.json
{
  "mcpServers": {
    "apivideo-alternative-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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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Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about api.video Alternative MCP in Cursor

Create an `mcp.json` file in your project root directory. Add the MCP Server details under the `mcpServers` object and toggle Agent mode on in the chat panel.
Your agent can create and manage the stream objects using tools like `create_live_stream` and `update_live_stream`. You still need a broadcasting app like OBS to push the actual video feed to the generated RTMP URL.
It replaces hardcoded mock data. When you ask Cursor to build a video gallery, it calls `list_videos` to grab real thumbnails and titles from your account. The generated code uses your actual project assets.
Yes. Your agent executes `create_webhook` to point the video platform at your local dev server. It then writes the exact Express or Next.js route needed to parse the incoming event payloads.
The MCP Server routes your upload tokens, stream keys, and video titles through a zero-trust Vinkius sandbox. Cursor only sees the specific JSON responses it requests. Nothing persists after the agent finishes the task.

Start using the api.video Alternative MCP today

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Built & Managed by Vinkius 30s setup 49 tools

We've already built the connector for api.video Alternative. Just plug in your AI agents and start using Vinkius.

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