How to Use the Livepeer (Decentralized Video) MCP in CrewAI

Deploy autonomous video crews with CrewAI. Specialized agents monitor and manage Livepeer infrastructure in real-time.

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Connect Livepeer (Decentralized Video) MCP to CrewAI

Create your Vinkius account to connect Livepeer (Decentralized Video) 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 Livepeer (Decentralized Video) with CrewAI

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Autonomous Broadcast Monitoring

Assign a monitor agent to watch your sessions with `get_session` and `get_realtime_viewership`. If viewership drops, the agent can signal a moderator to take action. This setup allows for 24/7 oversight of your video infrastructure. The agents share memory, ensuring the team stays informed about stream health.

Collaborative Video Asset Handling

Use a specialized researcher agent to list assets via `list_assets` and a creator agent to generate clips using `create_clip`. They work together to curate your video library. This keeps your content pipeline moving without manual intervention. Each agent focuses on one aspect of the media lifecycle, from upload to final clip.

Smart Transcode Job Delegation

Task your agents with managing on-demand transcoding using `create_transcode_job`. The crew evaluates the task status via `get_task` to ensure completion. This offloads the technical management of your video files. Your agents handle the infrastructure while you manage the overall strategy.

Setup guide

Set up Livepeer (Decentralized Video) 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 Livepeer (Decentralized Video) tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Livepeer (Decentralized Video) 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="Livepeer (Decentralized Video) Analyst",
        goal="Access and analyze Livepeer (Decentralized Video) data via MCP.",
        backstory="Expert analyst with direct Livepeer (Decentralized Video) access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Livepeer (Decentralized Video) 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 Livepeer. 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 Livepeer (Decentralized Video) MCP in CrewAI

You pass the MCP URL to your Agent's mcp configuration. This gives the crew access to all tools like `create_stream` and `get_viewership_metrics`.

They can. You assign a 'broadcast manager' agent to run the stream lifecycle, while a 'metrics analyst' agent tracks performance.

It does. The tools are designed for programmatic access, making them perfect for agents that need to act on stream and asset data independently.

CrewAI agents can be configured to retry or alert a human. You define the failure policy within your agent's task description.

Your broadcast configuration and stream keys are isolated within the Vinkius environment. Each request is authenticated, ensuring that only your agents can manage your video resources.

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