Can I check if a video has been processed and is active?

Yes! Use the `get_video` tool with the Video ID. Your agent will fetch the current state, showing if it is 'ACTIVE', 'INACTIVE', or still being processed.

How do I list all the videos with a specific tag?

Simply ask the agent to `list_videos` and provide a search query like `tags:summer`. It will retrieve all matching media assets from your library.

Does the integration allow creating a new playlist?

Yes. Use the `create_playlist` action and provide a name and type (e.g., EXPLICIT or SMART). You can then organize your videos into this new collection.

Brightcove MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: Brightcove
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 Brightcove 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="Brightcove Assistant",
            instructions=(
                "You help users interact with Brightcove. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Brightcove"
        )
        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 Brightcove MCP Server

Connect your Brightcove Video Cloud account to any AI agent and orchestrate your video management, publishing, and analytics workflows through natural conversation.

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

What you can do

Video Oversight — List all videos in your library, search by tags or metadata, and retrieve detailed technical specifications.
Playlist Management — Create, update, and manage playlists to organize your content for different platforms.
Metadata Control — Update video names, descriptions, and states (active/inactive) directly from your workspace.
Content Organization — Access and list folders to verify how your assets are structured.
Library Insights — Retrieve total video counts and monitor the status of individual media assets.

The Brightcove 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 Brightcove to OpenAI Agents SDK via MCP

Follow these steps to integrate the Brightcove 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 Brightcove

Why Use OpenAI Agents SDK with the Brightcove MCP Server

OpenAI Agents SDK provides unique advantages when paired with Brightcove 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

Brightcove + OpenAI Agents SDK Use Cases

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

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

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

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

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

Brightcove MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Brightcove to OpenAI Agents SDK via MCP:

create_playlist

Create a new playlist

delete_video

Delete a video permanently

get_folder_videos

List videos within a specific folder

get_playlist

Get details of a specific playlist

get_video

Get details of a specific video

get_video_count

Get total number of videos in the account

list_folders

List all video folders

list_playlists

List all playlists

list_videos

List all videos in the account

update_video

Update metadata for a video

Example Prompts for Brightcove in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Brightcove immediately.

"List the last 5 videos added to my Brightcove account."

"Show the playlists I have configured."

"Find all videos tagged with 'tutorial'."

Troubleshooting Brightcove MCP Server with OpenAI Agents SDK

Common issues when connecting Brightcove 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.

Brightcove + OpenAI Agents SDK FAQ

Common questions about integrating Brightcove 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.