- ACTIVE
- COMPLETE
- FAILED
- HUMAN
Short answer
How can I automate video transcoding with my AI?
You tell your AI what video files need processing, and it uses Qencode to build and run those jobs. Your agent handles the technical setup and keeps you updated on whether the encode finished or failed.
Where your jobs land.
The outcomes of your requests.
Your AI translates your video requirements into these specific states.
ACTIVE
Running encoding jobs
The AI sends your parameters to Qencode. You get a list of jobs currently being processed in the cloud.
COMPLETE
Finished video files
Once the work is done, your AI confirms the job status. You'll know exactly when your files are ready for use.
FAILED
Error reporting
If a transcode hits a snag, your AI identifies the failure. You'll receive the status update so you can decide how to fix it.
HUMAN
Manual oversight
The AI handles the execution, but you decide which video settings to use. You remain in control of the final output quality.
The workflow
What your AI does when a request arrives.
Your agent acts as the bridge between your chat interface and the Qencode engine.
Authenticate
The AI establishes a secure connection to the Qencode API to prepare for incoming commands.
get_access_tokenBuild the job
Your agent takes your video specs and formats them into a structured transcoding task.
create_taskTrigger encoding
The AI tells the engine to begin processing the specific video file you requested.
start_encodeMonitor progress
Your agent periodically checks the engine to see if the video is done or if it ran into an error.
get_task_status
Try it
Copy these to start.
Use these prompts to kick off your first transcoding tasks.
Starting points
These are basic starting lines. Swap out the file names and formats to match your actual video files.
Qencode Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_qPyb1Wq9gRwG0zcmcopAccU1hLBZXdg94MjCypBl/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Qencode capabilities are ready to use.
{
"mcpServers": {
"qencode-alternative-mcp": {
"url": "https://edge.vinkius.com/vk_preview_qPyb1Wq9gRwG0zcmcopAccU1hLBZXdg94MjCypBl/mcp"
}
}
}Create a transcoding task for my video at s3://bucket/input.mp4 to output an H.264 MP4.
Start the encoding process for the task I just created.
Check the status of my recent video transcoding jobs to see if they are finished.
List all my current transcoding tasks and tell me which ones failed.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Qencode once, then ask.
You only need to link your account one time. Your credentials stay encrypted and secure, and you can immediately start managing video jobs through your chat interface.
Connect Qencode to your AIFAQ
How this task behaves.
- 01
Can the AI change my existing video files?
No. The AI only creates new transcoding tasks to generate new files based on your instructions.
- 02
Will the AI automatically delete my source videos?
No. The AI only interacts with the Qencode API to manage encoding tasks; it has no permission to delete your original files.
- 03
Can I use this to edit video content?
No. This MCP is strictly for transcoding and encoding tasks, not for creative video editing or cutting.
- 04
How does the AI know when a video is done?
The AI uses the status tool to poll the Qencode engine for updates on your specific task IDs.
- 05
Do I need to manually trigger every encode?
You can tell your AI to start the encoding immediately after the task is created, making the process much faster.
More questions about Qencode? See everything the Qencode Connector can do
Connect Qencode to Claude, Cursor, ChatGPT & more
