• UPLOAD
  • MONITOR
  • DATA
  • HUMAN

How to automate video uploads and transcoding with your AI

Connect Gumlet to your agent once. From there, your AI manages the video pipeline from the first upload to the final processing status.

Ask AI about this page

Short answer

How can I automate video uploads and transcoding with my AI?

Your AI uses Gumlet to trigger uploads and check the status of the transcoding process. You get a hands-off way to track when your videos are ready for use.

The outcomes

What your AI handles

Once connected, your AI manages these specific tasks.

UPLOAD

Triggered uploads

The AI starts the upload process for you. You don't need to open a dashboard to get a file into the system.

MONITOR

Status tracking

Your agent watches the transcoding progress. It knows exactly when a video finishes processing.

DATA

Video details

The AI pulls metadata about your files. This lets it confirm if a video is ready for playback.

HUMAN

Error handling

If a video fails to transcode, the AI tells you. You only step in when the agent reports a problem.

The workflow

What your AI does when the video arrives.

The AI takes over the repetitive parts of the video lifecycle.

  1. Start the upload

    The AI initiates the upload for your video files.

    create_video_upload

  2. Check progress

    The AI looks up the current status of the video to see if it is still transcoding.

    get_video_details

  3. Verify readiness

    The AI checks the file details to confirm it is ready for playback.

    get_video_details

  4. Report status

    The AI tells you if the video is live or if the process failed.

    get_video_details

Try it

Copy these to start.

Use these prompts to kick off your first automation.

Starting points

These are opening lines. Swap the bracketed text for your actual file names or video IDs.

Gumlet Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_tTnpV8BQwFuU4GvUIPpyU0NRBEGnZH6ZUW3Swcpb/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Gumlet capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "gumlet-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_tTnpV8BQwFuU4GvUIPpyU0NRBEGnZH6ZUW3Swcpb/mcp"
    }
  }
}
Copy into chat04

  • Start a new video upload for my file 'promo_clip_01.mp4'.

  • Check the status of the video with ID 'vid_5544' and tell me if it's finished transcoding.

  • Upload this video and let me know when the transcoding is complete.

  • Get the details for my latest upload to see if the transcoding was successful.

  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Start here

Connect Gumlet once, then ask.

One link connects your credentials to the Vinkius platform. Your login stays encrypted, and you can immediately start using these tools in your preferred AI client.

Connect Gumlet to your AI

FAQ

How this task behaves

  • 01

    Can the AI delete videos from my Gumlet account?

    No. The AI only has tools to create uploads and get video details. It cannot delete files.

  • 02

    Can my AI change the transcoding settings?

    No. The AI can only check the status and details of a video. It cannot modify how Gumlet processes the file.

  • 03

    Does the AI handle the actual file transfer?

    The AI initiates the upload via the tool, but the actual data transfer happens through the connection established by the tool.

  • 04

    Will the AI notify me automatically when a video is done?

    The AI can check the status whenever you ask it to, or you can set up a loop in your agent to check periodically.

  • 05

    Can the AI upload files from my local hard drive?

    The AI uses the upload tool to start the process, but you must provide the file or the path to the file within your chat interface.

  • More questions about Gumlet? See everything the Gumlet Connector can do

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