How to Use the Dailymotion MCP in CrewAI

Q: How do I configure the Dailymotion MCP Server inside my CrewAI codebase?

Install the main package using pip install crewai "crewaitools". Then, pass the Vinkius endpoint URL directly into your CrewAI Agent configuration using the mcps parameter to grant them access to Dailymotion tools.

Run autonomous CrewAI agent teams that publish, analyze, and manage your Dailymotion video library using this MCP Server.

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Connect Dailymotion MCP to CrewAI

Create your Vinkius account to connect Dailymotion 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 with CrewAI

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Automate Dailymotion Publishing via CrewAI

Assign a specialized CrewAI video-editor agent to grab media files while a publishing agent requests a secure Dailymotion upload endpoint using `get_upload_url`. Once the upload completes, a CrewAI coordination agent takes the resulting file pointer and triggers `publish_video` to push the content live to your Dailymotion channel. By using this MCP Server, your CrewAI agents can handle the entire multi-step Dailymotion publishing process without human intervention. The crew automatically passes the temporary Dailymotion upload URL between tasks, ensuring your media pipelines run smoothly from file to finished post.

Let CrewAI Agents Optimize Video Metadata

Deploy a CrewAI research agent to analyze performance trends on Dailymotion and a writer agent to rewrite titles and descriptions. The writer agent can instantly apply these updates to Dailymotion using `update_video`, keeping your video library optimized for search engines. Your CrewAI crew can pull current Dailymotion video details via `get_video` to check which tags need adjustment. This turns manual metadata reviews into an autonomous loop where CrewAI agents continuously refine your Dailymotion listings.

Audit and Curate Playlists Autonomously

Set up a CrewAI audit crew where one agent scans your Dailymotion library using `list_videos` and another checks your existing collections with `list_playlists`. If the agents find outdated or low-performing Dailymotion content, they can call `delete_video` to clean up your channel instantly. This setup lets your CrewAI agents group fresh Dailymotion uploads into thematic playlists without you touching a dashboard. They use `list_channels` to find the right category fit, ensuring every Dailymotion video lands exactly where your audience expects it.

Setup guide

Set up Dailymotion 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 tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Install the main package using `pip install crewai "crewai[tools]"`. Then, pass the Vinkius endpoint URL directly into your CrewAI Agent configuration using the `mcps` parameter to grant them access to Dailymotion tools.

Yes, your CrewAI agents can run keyword searches on Dailymotion using `search_videos`. A researcher agent can fetch matching Dailymotion video metadata and pass it to a writer agent for competitive analysis.

Your CrewAI agents can first check your Dailymotion account status using `get_user` to monitor video counts. If limits are clear, the crew proceeds to request a Dailymotion upload destination via `get_upload_url` to safely transfer the video file.

Yes, CrewAI can run parallel tasks while making concurrent requests to the Dailymotion tools on Vinkius. The hosted infrastructure handles these simultaneous API calls to Dailymotion without rate-limiting your CrewAI environment.

Your Dailymotion API credentials and video metadata are isolated inside secure V8 sandboxes on Vinkius. The CrewAI framework only communicates with the server via encrypted SSE or HTTPS transports, keeping your Dailymotion account tokens completely hidden from the agent runtime.

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