ByteNite Connector for AI agents.
10 live capabilities
Manage distributed video encoding and media processing tasks from your AI client.
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Why people use ByteNite
ByteNite for Scaling Distributed Video Encoding
This Connector changes that by bringing your infrastructure directly into your existing AI workflow. Instead of navigating a complex dashboard, you can just tell your agent what you need. You can kick off new encoding tasks using your pre-defined quality templates, check the live progress of a batch of videos, or grab the final output URL the moment a job hits 100%.
What Vinkius changes
You turn manual dashboard navigation into a few quick text commands.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Checking render status before a meeting
A lead producer needs to know if the 'Summer Promo' video is finished before a meeting starts.
- Real-world use case 02
Verifying system health before a big batch
A developer wants to see if the system is healthy before starting a big batch of renders.
- Real-world use case 03
Launching a large-scale batch encode
A media team needs to start 50 encodes at once.
Complete set · 10capabilities
The complete ByteNite capability set.
These are the exact actions your AI can choose when you ask it to work with ByteNite.
01—04
4 capabilities in this set.
Part of 10 available through ByteNite.
- 01 Capability
Get account info
Pull your profile statistics and account details quickly. Use this to keep an eye on your overall usage.
- 02 Capability
Get app
Get the specific details for a single app in the ecosystem. This is useful for checking specialized processing features.
- 03 Capability
Get encoding job
Check the progress and metadata for a specific video job. This lets you see exactly when a render finishes.
- 04 Capability
Get system info
View the current health and status of the ByteNite infrastructure. Use this to ensure the system is ready for big batches.
05—07
3 capabilities in this set.
Part of 10 available through ByteNite.
- 05 Capability
Get template
View the specific configuration of an encoding template. This helps you verify quality settings before you start a job.
- 06 Capability
List apps
See all the different apps available in the ByteNite ecosystem. This helps you understand the full range of processing tasks you can perform.
- 07 Capability
List storage buckets
See all the storage buckets you have configured. This helps you keep your media assets organized across different regions.
08—10
3 capabilities in this set.
Part of 10 available through ByteNite.
- 08 Capability
List encoding jobs
Get a full list of all your current video encoding jobs. Use this to see everything you have running at once.
- 09 Capability
List templates
See all the encoding templates available for your projects. This ensures consistent video quality across your entire workflow.
- 10 Capability
Create encoding job
Start a new video encoding task with your preferred settings. This lets you kick off renders without leaving your agent.
Set up in minutes
One URL. Then ask ByteNite to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use ByteNite from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_zVIp1gCalWfCqtqmQY2fHZhjaxmA9jPXiWfAyczy/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it ByteNite, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable ByteNite for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_zVIp1gCalWfCqtqmQY2fHZhjaxmA9jPXiWfAyczy/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the ByteNite URL.
- Step 03
Save and start
Save the connection and enable ByteNite in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"bytenite": {
"url": "https://edge.vinkius.com/vk_preview_zVIp1gCalWfCqtqmQY2fHZhjaxmA9jPXiWfAyczy/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using ByteNite
Open Agent mode in chat and ask: "Using ByteNite, help me...". 10 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"bytenite": {
"url": "https://edge.vinkius.com/vk_preview_zVIp1gCalWfCqtqmQY2fHZhjaxmA9jPXiWfAyczy/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using ByteNite
Ask Copilot: "Using ByteNite, help me...". 10 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"bytenite": {
"url": "https://edge.vinkius.com/vk_preview_zVIp1gCalWfCqtqmQY2fHZhjaxmA9jPXiWfAyczy/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using ByteNite
Open Cascade and ask: "Using ByteNite, help me...". 10 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"bytenite": {
"url": "https://edge.vinkius.com/vk_preview_zVIp1gCalWfCqtqmQY2fHZhjaxmA9jPXiWfAyczy/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using ByteNite
Ask Cline: "Using ByteNite, help me...". 10 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add bytenite --transport http "https://edge.vinkius.com/vk_preview_zVIp1gCalWfCqtqmQY2fHZhjaxmA9jPXiWfAyczy/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using ByteNite
Ask Claude: "Using ByteNite, show me...". 10 tools are ready
Where the request belongs
Work ByteNite can move forward.
This is for media professionals who deal with high-volume video production. It's for the engineer who needs to scale renders without manual babysitting and the producer who needs to know exactly where a project stands.
Video Engineer
Triggers batch encodes and monitors system health during peak production windows.
Media Ops Lead
Manages storage buckets and retrieves output URLs for distribution teams.
DevOps Developer
Integrates automated encoding steps into CI/CD or media pipelines using natural language.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsQencode
Automate video transcoding and live streaming via Qencode. manage tasks, start encodings, and orchestrate live streams directly from any AI agent.
Shotstack
Render and edit videos programmatically with a cloud API that generates personalized video content at scale from templates.
Mux
Manage video assets and live streams via Mux. create assets and track performance directly from your AI agent.
Kapwing
Automate video and image rendering via Kapwing. create media from JSON, track render progress, and manage assets directly from any AI agent.
Storage Bitrate Balancer
Calculate maximum allowed video bitrates and estimated file sizes with a 10% safety margin.
MediaSilo (Legacy)
Share and review video content with creative teams using secure media workspaces, annotations, and approval workflows.
Bring your own AI
Change the model, client or framework. Keep ByteNite connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about ByteNite.
The practical details behind the request, access and result.
What is the ByteNite MCP?
The ByteNite MCP is a way to manage your video encoding jobs, templates, and system health directly through an AI client like Claude or Cursor.
How do I use ByteNite to manage video jobs?
You can use natural language to ask your agent to list all current jobs, check the progress of a specific render, or start new encoding tasks using your saved templates.
Can I start video encodes with my AI client?
Yes, you can trigger new encoding jobs immediately by telling your agent which source file and template to use.
Does ByteNite support distributed computing?
Yes, ByteNite handles distributed video encoding and media processing, and this Connector allows you to orchestrate those tasks via your AI agent.
How do I check my video output URLs?
Once a job is finished, you can simply ask your agent to retrieve the output URL for that specific job ID.
Can I see my storage bucket info?
Yes, you can ask your agent to list your configured storage buckets to keep your media assets organized.
Can I check the progress of a video encoding job using the agent?
Yes! Use the get_encoding_job capability with the Job ID. Your agent will fetch the real-time progress percentage and current status directly from ByteNite.
How do I list all the available encoding templates?
Simply ask the agent to list_templates. It will retrieve all the configured encoding profiles in your ByteNite account, making it easy to find the right settings for a new job.
Does the integration allow creating a new encoding job?
Yes. Use the create_encoding_job action and provide the Template ID and the input video URL. The job will be queued and processed by the ByteNite distributed network instantly.
One connection away
Give your agent a direct line to ByteNite.
Connect ByteNite once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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