How to Use the Dailymotion Extended MCP in AutoGen

Q: How do I load the Dailymotion Extended MCP Server into AutoGen?

Install the autogen-extmcp package. Use mcpservertools with your Vinkius URL to fetch the tools, then pass them directly into your AssistantAgent constructor.

Deploy debating AutoGen agents to manage your Dailymotion Extended video strategy.

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Connect Dailymotion Extended MCP to AutoGen

Create your Vinkius account to connect Dailymotion Extended to AutoGen 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 AutoGen

Ask AI about this MCP

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Perplexity

AutoGen agents manage MCP Server uploads

Give multiple agents control over your video pipeline and let them argue about the details. A content agent might propose pushing a raw file by calling `get_upload_url`. Meanwhile, a compliance agent reviews the file name and blocks the action until specific naming conventions are met. They negotiate the metadata before anything goes live. Once they reach an agreement, the execution agent fires `create_video` to officially publish the asset. You get a self-regulating system that prevents mistakes before they hit the public internet.

Negotiate playback environments

Setting up the perfect viewing experience involves balancing user experience with ad revenue. You can assign one agent to maximize monetization while another advocates for minimal distractions. They debate the parameters required for the new playback setup. After converging on the optimal settings, the winning configuration gets sent to the `create_player` tool. The agents then use `get_video_stream` to verify the output matches their agreed-upon specifications.

Analyze performance through debate

Stop relying on a single perspective to interpret your metrics. You can build a panel of specialized agents that query the `reporting_graphql` tool independently. A marketing agent looks at click-through rates while a technical agent examines buffering events. They cross-reference their findings with the current catalog pulled via `list_videos`. The committee then outputs a unified strategy document detailing exactly which titles need their tags updated via `edit_video` to improve discovery.

Setup guide

Set up Dailymotion Extended MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Dailymotion Extended tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

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

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Dailymotion Extended_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Dailymotion Extended data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

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

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Dailymotion Extended_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Dailymotion Extended data")
    print(result.messages[-1].content)

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 AutoGen

Install the `autogen-ext[mcp]` package. Use `mcp_server_tools` with your Vinkius URL to fetch the tools, then pass them directly into your `AssistantAgent` constructor.

That is exactly how the framework operates. You can force an SEO agent and a branding agent to agree on tags before either is allowed to execute `edit_video`.

Yes. If the agents decide a file requires secure hosting, they can request endpoints using the `get_partner_upload_url` function.

It translates the server schema into a format the agents understand automatically. You do not have to write custom wrappers for the GraphQL or player creation endpoints.

Nobody. The Vinkius infrastructure runs your requests through a stateless V8 Isolate. Your partner upload URLs and viewer retention metrics exist only during the active session.

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