How to Use the Vidyard MCP in CrewAI

Q: Can I use Vidyard with CrewAI to check player status?

Yes. You can run getplayerdetails on a known ID, or have the team list all players using listvideoplayers before making any changes.

Q: If I need stream URLs for Vidyard with CrewAI, what tool do I use?

The agent uses getvideosourcefiles. This pulls the direct links (like 480p or 720p) needed to embed the video.

Run autonomous Vidyard operations and asset management using CrewAI multi-agent teams.

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Connect Vidyard MCP to CrewAI

Create your Vinkius account to connect Vidyard 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 Vidyard with CrewAI

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Multi-Agent Asset Coordination

You can assign one agent to `list_videos` (the Researcher) and another to analyze the results. A third Agent then takes action, calling `attach_video_to_player` using the IDs found by the first two. This hierarchical execution allows a monitor agent to watch the entire session while ensuring no critical steps are skipped.

Managing Player Containers in Teams

Need to update a title? Have one agent call `get_player_details` to verify the current name, and another calls `update_player_name` to execute the change. If the player is finished, you can assign an agent to run `delete_video_player`, leaving the core video assets alone.

Source Retrieval for Multiple Roles

A 'Media Specialist' agent handles getting stream URLs using `get_video_source_files`. Another specialized agent can then use these links to build a report. For general discovery, the team can run `list_video_players` and `list_videos`, giving full visibility into all content.

Setup guide

Set up Vidyard 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 Vidyard tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

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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="Vidyard Analyst",
        goal="Access and analyze Vidyard data via MCP.",
        backstory="Expert analyst with direct Vidyard access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Vidyard 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 Vidyard. 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 Vidyard MCP in CrewAI

You assign roles: one agent researches available videos using `list_videos`. Another analyzes the metadata via `get_video_details`, and a third executes the required change.

The process is irreversible. If an agent successfully calls `delete_video_asset` or `delete_video_player`, that data is gone from the platform.

This MCP Server touches technical video metadata, asset IDs, player container names, and stream URLs. It does not handle user private account information.

Yes. You can run `get_player_details` on a known ID, or have the team list all players using `list_video_players` before making any changes.

The agent uses `get_video_source_files`. This pulls the direct links (like 480p or 720p) needed to embed the video.

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