How to Use the Vimeo MCP in AutoGen

Q: What happens when I try to list folders on Vimeo with AutoGen?

The agent calls listfolders, and instead of just outputting the data, it uses that structured information as input for a subsequent debate. For instance, 'Should we archive these folders?'

Get consensus on video strategy using AutoGen's multi-agent framework.

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Connect Vimeo MCP to AutoGen

Create your Vinkius account to connect Vimeo 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 Vimeo with AutoGen

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Debating Content Deletion Strategy

Need to decide if a video should be deleted? Set up an agent debate. One agent can propose running `list_videos` and flagging old content, while another challenges that proposal using the `get_video` tool. The agents negotiate based on visibility—is it in a showcase or just listed? This consensus-driven approach prevents accidental deletions via `delete_video`.

Collaborative Resource Management

Use multiple agents to manage your account structure. One agent can call `list_folders`, creating the initial plan, and a second agent uses `update_video` to ensure all videos within those folders have consistent metadata. The debate forces a consensus on the best sequence of calls to achieve the desired state.

Comprehensive Account Risk Review

Build a system that reviews potential access risks. Agent A checks your groups via `list_groups`, while Agent B independently verifies which videos are visible using `search_videos`. The agents discuss the overlap and discrepancies, flagging any public video assets that might fall outside of controlled project folders listed by `list_folders`.

Setup guide

Set up Vimeo 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 Vimeo 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="Vimeo_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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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="Vimeo_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Vimeo 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 Vimeo. 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 Vimeo MCP in AutoGen

You define roles for your agents. One agent can be the 'Auditor' (calling `list_videos`), and another can be the 'Executor' (handling `update_video`). They debate the best course of action.

Yes. You can give an agent the task of finding assets using `search_videos`. The agents will then discuss the results and determine if further details via `get_video` are necessary.

The agent calls `list_folders`, and instead of just outputting the data, it uses that structured information as input for a subsequent debate. For instance, 'Should we archive these folders?'

You can absolutely run a full audit. The agents will coordinate calls across `list_groups`, `list_showcases`, and `list_videos` to ensure every resource is accounted for.

The server deals with structural identifiers, user profiles (`get_me`), video metadata (titles/descriptions), and relationship lists (groups/showcases). This range of inputs allows for complex deliberation.

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