How to Use the Brightcove MCP in CrewAI

Q: Can CrewAI agents modify Brightcove playlists?

Yes, by assigning the createplaylist and updatevideo tools to a specific agent. You can create a workflow where one agent drafts playlists and another publishes them.

Deploy a specialized crew of agents to manage your Brightcove library.

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Connect Brightcove MCP to CrewAI

Create your Vinkius account to connect Brightcove to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Brightcove with CrewAI

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Perplexity

Collaborative Brightcove management in CrewAI

Assign one agent to `list_playlists` while another updates the videos. They share memory to ensure the entire library stays organized. This multi-agent approach handles complex tasks that a single agent would struggle with. You get a coordinated team working on your video content.

Autonomous Brightcove monitoring with CrewAI

Create a monitor agent that periodically runs `get_video_count`. It alerts your team if the library size drops or exceeds your expectations. It functions as a background supervisor. Your agents keep an eye on your assets while you focus on higher-level strategy.

Role-based access to Brightcove tools

Limit which agent can use `delete_video` by using tool filters. You keep control over your most sensitive operations while allowing others to browse. It structures your operations clearly. Each agent sticks to its specific role, preventing accidental changes to your account data.

Setup guide

Set up Brightcove MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Brightcove tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Brightcove Analyst",
    goal="Access and analyze Brightcove data via MCP.",
    backstory="Expert analyst with direct Brightcove access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Brightcove transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Brightcove Analyst",
        goal="Access and analyze Brightcove data via MCP.",
        backstory="Expert analyst with direct Brightcove access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Brightcove transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Brightcove. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Brightcove MCP in CrewAI

Pass the server URL directly into the agent definition. This allows your crew to share access to the library tools and coordinate their tasks effectively.

Yes, by assigning the `create_playlist` and `update_video` tools to a specific agent. You can create a workflow where one agent drafts playlists and another publishes them.

It integrates perfectly. You can have a manager agent oversee the library and assign specific tasks like `get_folder_videos` to sub-agents.

We use a zero-trust architecture. Each session is completely isolated, ensuring that your video library data is never shared between different agent crews.

No records are kept. Your video folder lists and playback metadata are handled in an ephemeral sandbox that discards all information immediately after the task concludes.

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