How to Use the ByteNite MCP in Claude
Run distributed video encoding jobs right from your desktop using the ByteNite MCP Server on Claude Desktop.
Works with every AI agent you already use
…and any MCP-compatible client
Connect ByteNite MCP to Claude Desktop
Create your Vinkius account to connect ByteNite to Claude Desktop and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Control the ByteNite MCP Server directly in Claude Desktop
The `create_encoding_job` tool starts distributed video encoding pipelines directly from your chat window. You tell your agent which file to process, and it spins up the work without you opening a browser or writing a bash script. Once the render starts, your agent uses `get_encoding_job` to track progress and report back when the file is ready. This keeps your terminal clean while your CPU stays cool because the heavy lifting happens off-site.
Select templates and storage in Claude
The `list_templates` tool grabs your active encoding profiles so your agent knows the exact output settings to apply. You don't have to memorize bitrates or resolution specs because the model reads them straight from your account. Your agent cross-references these profiles with `list_storage_buckets` to ensure your finished MP4 or WebM lands in the correct AWS or Backblaze folder. It verifies the destination path before pushing the button, saving you from failed runs.
Audit your video pipelines
The `get_system_info` tool exposes real-time node health and processing capacity to Claude Desktop. Your agent checks this data to determine if the network has enough active workers to process a batch of 50 videos. If resources look tight, the agent pulls your usage metrics with `get_account_info` to make sure you aren't hitting subscription limits. You get a clear picture of your processing pipeline before committing credits to a massive transcode.
Set up ByteNite MCP in Claude Web or Desktop
- 1
Open Claude Settings
Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
- 2
Add Custom Connector
Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:
https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcpReplace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials. - 3
Start a conversation
Open a new chat. The ByteNite MCP tools are available immediately — no restart needed.
Endpoint URL
https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp No configuration file needed — paste the URL directly in the Claude web interface.
Available on Free (1 connector), Pro, Max, Team, and Enterprise plans.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about ByteNite MCP in Claude Desktop
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the ByteNite MCP today
We host it, we monitor it, we maintain it. You just paste one token.