How to Use the Dailymotion Extended MCP in CrewAI

Build autonomous video teams in CrewAI to manage uploads, edit metadata, and pull Dailymotion analytics without human input.

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Connect Dailymotion Extended MCP to CrewAI

Create your Vinkius account to connect Dailymotion Extended 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 Dailymotion Extended with CrewAI

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Autonomous video publishing with CrewAI

Give your agent crew direct control over your channel through this MCP Server. A researcher agent can find source files while a publisher agent uses `get_upload_url` to stage the content. If you have partner access, they pull a private link via `get_partner_upload_url` instead. Once the file hits the server, a separate metadata agent takes over. It triggers `create_video` to push the asset live. You just sit back while the agents handle the entire publishing pipeline from raw file to public URL.

Multi-agent metadata and player control

Video titles get stale quickly. You can assign a background worker to run `list_videos` every morning to find underperforming content. That agent then drafts better titles and descriptions before passing them to an editor agent. The editor fires off `edit_video` to update the live assets. They can even spin up custom viewing experiences on the fly using `create_player`. Your CrewAI setup manages the entire presentation layer via the MCP integration without you lifting a finger.

Deep GraphQL reporting for analyst agents

Dailymotion hides the best data behind complex queries. Hook this setup up to a data analyst agent so it can hit `reporting_graphql` directly. It pulls raw performance metrics, partner reports, and audience retention stats. That analyst hands the raw numbers to a strategist agent for processing. If a specific video goes viral, the team can immediately pull the source links via `get_video_stream` to syndicate it elsewhere. Your agents react to performance spikes in real time.

Setup guide

Set up Dailymotion Extended 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 Dailymotion Extended tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Pass the Vinkius endpoint URL straight into your agent definition. You just add `mcps=["https://..."]` when setting up the crew. Advanced setups can use `MCPServerHTTP` to filter which tools specific agents can see.

Yes, they handle metadata updates completely on their own. Assign an agent to the `edit_video` tool and give it rules for rewriting descriptions or tags. It runs those changes instantly.

The tools work perfectly in a manager-worker setup. A manager agent can delegate upload tasks to one worker while sending another to pull analytics. Shared memory keeps the whole operation synced.

Vinkius manages the authentication layer entirely. You provide a single endpoint token to the framework. Every agent in your setup shares that secure connection.

Your GraphQL queries and video stream URLs process inside a V8 Isolate Sandbox. Vinkius runs an ephemeral, zero-trust architecture that destroys the environment after your agents finish their tasks. Nobody stores your private analytics.

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