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 OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: ByteNite
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect ByteNite through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

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.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="ByteNite Assistant",
            instructions=(
                "You help users interact with ByteNite. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from ByteNite"
        )
        print(result.final_output)

asyncio.run(main())

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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.

The OpenAI Agents SDK auto-discovers all 10 tools from ByteNite through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries ByteNite, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP

Follow these steps to integrate the ByteNite MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 10 tools from ByteNite

Why Use OpenAI Agents SDK with the ByteNite MCP Server

OpenAI Agents SDK provides unique advantages when paired with ByteNite through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

ByteNite + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the ByteNite MCP Server delivers measurable value.

Automated workflows: build agents that query ByteNite, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries ByteNite, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through ByteNite tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query ByteNite to resolve tickets, look up records, and update statuses without human intervention

ByteNite MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect ByteNite to OpenAI Agents SDK 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 OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK

Common issues when connecting ByteNite to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

ByteNite + OpenAI Agents SDK FAQ

Common questions about integrating ByteNite MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.