How to Use the Dailymotion MCP in AutoGen
Coordinate Dailymotion video workflows across your AutoGen multi-agent debates with this MCP server.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Dailymotion MCP to AutoGen
Create your Vinkius account to connect Dailymotion 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.
Coordinate Dailymotion uploads across AutoGen agents
The `get_upload_url` tool generates a temporary destination for your media files. Your AutoGen publishing agent coordinates with a creative agent to draft titles and tags, ensuring everything is ready before calling `publish_video`. Because AutoGen relies on multi-agent conversation, one agent can verify the upload URL while another reviews the video metadata. They debate the best tags based on current trends before committing the upload to Dailymotion.
Audit your video catalog using an MCP Server
The `list_videos` tool retrieves your active uploads, allowing a QA agent to check for missing descriptions or incorrect tags. If a video fails to meet your quality standards, the agent suggests modifications or calls `delete_video` to remove outdated content. A separate compliance agent reviews these suggestions before any deletion occurs. This multi-agent consensus prevents accidental video loss on your Dailymotion channel by requiring explicit approval from both agents in the conversation.
Optimize Dailymotion metadata via AutoGen debate
The `get_video` tool pulls full details of a specific video, including views and current tags. An optimization agent analyzes this data, proposing updates via `update_video` to improve search visibility. Meanwhile, a performance agent challenges the proposed changes by comparing them against historical channel data. Once they agree on the optimal metadata, the final payload is pushed to Dailymotion.
Set up Dailymotion 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 includesmcp_server_toolsfor 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
AssistantAgentand callagent.run(). The agent invokes Dailymotion tools and returns structured results.
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_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Dailymotion data")
print(result.messages[-1].content) 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.
McpWorkbenchis 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=workbenchto your agent. State is preserved across multiple tool calls within the same session.
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_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Dailymotion data")
print(result.messages[-1].content) 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 AutoGen
Use it with your favorite AI tools
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