Can I check the progress of a video encoding job using the agent?

Yes! Use the `get_encoding_job` tool 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.

ByteNite MCP Server for Cursor 10 tools — connect in under 2 minutes

Name: ByteNite
Availability: InStock
Author: Vinkius

docs.cursor.com/context/model-context-protocol

Built by Vinkius GDPR 10 Tools IDE

Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

RecommendedModern Approach — Zero Configuration

Vinkius Desktop App

The modern way to manage MCP Servers — no config files, no terminal commands. Install ByteNite and 2,500+ MCP Servers from a single visual interface.

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Classic Setup·json

{
  "mcpServers": {
    "bytenite": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Fully ManagedVinkius Servers

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High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

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Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About ByteNite MCP Server

Connect your ByteNite account to any AI agent and orchestrate your video encoding workflows, distributed computing tasks, and media processing through natural conversation.

Cursor's Agent mode turns ByteNite into an in-editor superpower. Ask Cursor to generate code using live data from ByteNite and it fetches, processes, and writes. all in a single agentic loop. 10 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.

What you can do

Encoding Oversight — List all video encoding jobs and retrieve detailed metadata, progress, and output URLs.
Job Automation — Trigger new encoding tasks using pre-defined templates directly from your workspace.
Template Management — List all available encoding templates to ensure consistent video quality across your projects.
App Ecosystem — Access and list available apps within the ByteNite ecosystem for specialized processing tasks.
System Monitoring — Retrieve real-time system information and health status of the ByteNite infrastructure.
Account Statistics — Access your profile statistics and storage bucket configurations straight from your workspace.

The ByteNite MCP Server exposes 10 tools through the Vinkius. Connect it to Cursor in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect ByteNite to Cursor via MCP

Follow these steps to integrate the ByteNite MCP Server with Cursor.

Open MCP Settings

Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"

Add the server config

Paste the JSON configuration above into the mcp.json file that opens

Save the file

Cursor will automatically detect the new MCP server

Start using ByteNite

Open Agent mode in chat and ask: "Using ByteNite, help me...". 10 tools available

Why Use Cursor with the ByteNite MCP Server

Cursor AI Code Editor provides unique advantages when paired with ByteNite through the Model Context Protocol.

Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context

Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards

MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment

VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools

ByteNite + Cursor Use Cases

Practical scenarios where Cursor combined with the ByteNite MCP Server delivers measurable value.

Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP

Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically

Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates

Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data

ByteNite MCP Tools for Cursor (10)

These 10 tools become available when you connect ByteNite to Cursor via MCP:

create_encoding_job

Start a new video encoding job

get_account_info

Retrieve core account/profile statistics

get_app

Get details of a specific app

get_encoding_job

Get details and progress of a specific encoding job

get_system_info

Retrieve core system information and health

get_template

Get details of a specific encoding template

list_apps

List all available apps in the ByteNite ecosystem

list_encoding_jobs

List all video encoding jobs

list_storage_buckets

List all configured storage buckets

list_templates

List all encoding templates

Example Prompts for ByteNite in Cursor

Ready-to-use prompts you can give your Cursor agent to start working with ByteNite immediately.

"List all my current video encoding jobs in ByteNite."

"Show the available encoding templates."

"Encode video https://example.com/source.mp4 using template temp_123."

Troubleshooting ByteNite MCP Server with Cursor

Common issues when connecting ByteNite to Cursor through the Vinkius, and how to resolve them.

Tools not appearing in Cursor

Ensure you are in Agent mode (not Ask mode). MCP tools only work in Agent mode.

Server shows as disconnected

Check Settings → Features → MCP and verify the server status. Try clicking the refresh button.

ByteNite + Cursor FAQ

Common questions about integrating ByteNite MCP Server with Cursor.

What is Agent mode and why does it matter for MCP?

Agent mode is Cursor's autonomous execution mode where the AI can perform multi-step tasks: reading files, editing code, running terminal commands, and calling MCP tools. Without Agent mode, Cursor operates in a simpler ask-and-answer mode that doesn't support tool calling. Always ensure you're in Agent mode when working with MCP servers.

Where does Cursor store MCP configuration?

Cursor looks for MCP server configurations in a mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.

Can Cursor use MCP tools in inline edits?

No. MCP tools are only available in Agent mode through the chat panel. Inline completions and Tab suggestions do not trigger MCP tool calls. This is by design. tool calls require user visibility and approval.

How do I verify MCP tools are loaded?

Open Settings → Features → MCP and look for your server name. A green indicator means the server is connected. You can also check Agent mode's available tools by clicking the tools dropdown in the chat panel.