How to Use the Vimeo MCP in OpenAI Agents SDK

Q: How do I search for public Vimeo content using OpenAI Agents SDK?

You use the searchvideos tool. Your agent passes keywords to it, and the MCP Server returns a list of matching public videos on Vimeo. This is the quickest way to find specific material without knowing the exact video ID.

Q: Can I get a list of all my groups on Vimeo using OpenAI Agents SDK?

Yes. The listgroups tool pulls a complete list of every group you follow or are associated with on Vimeo. This helps your agent map out your organizational reach.

Q: How does the OpenAI Agents SDK handle video deletion in Vimeo?

The system invokes deletevideo when necessary, but it requires confirmation first. The tracing feature lets you see exactly which user initiated the delete action and why.

Build production Vimeo systems with OpenAI Agents SDK.

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Connect Vimeo MCP to OpenAI Agents SDK

Create your Vinkius account to connect Vimeo to OpenAI Agents SDK 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 OpenAI Agents SDK

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Manage Video Assets and Metadata

You can run `get_video` to pull all the metadata for a specific video on Vimeo. This gives your agent the details it needs before deciding how to act. Need to change something? The `update_video` tool lets you modify titles or descriptions directly. You'll use this when your system finds an outdated piece of information and fixes it.

Audit Account Structure

To see what content is available, the agent can call `list_folders` to pull a list of all project folders. It also uses `list_showcases` if you need to check album structures. By combining these calls with `list_videos`, your OpenAI Agents SDK system builds a full audit map of everything attached to your user profile.

Search and Clean Up Content

When you're looking for specific public content, the agent hits up `search_videos` to find videos across Vimeo. This is faster than checking every single list. If a video needs to be gone—for legal or cleanup reasons—the system executes `delete_video`. The guardrails ensure this action only happens after proper checks.

Setup guide

Set up Vimeo MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Vimeo tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Vimeo tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Vimeo tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Vimeo Agent",
            instructions="You have access to Vimeo tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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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 OpenAI Agents SDK

You use the `search_videos` tool. Your agent passes keywords to it, and the MCP Server returns a list of matching public videos on Vimeo. This is the quickest way to find specific material without knowing the exact video ID.

The built-in guardrails validate every action before it hits Vimeo. If you try to `update_video` with bad metadata, the agent fails loudly and tells you exactly what's wrong. You don't risk silent corruption.

Yes. The `list_groups` tool pulls a complete list of every group you follow or are associated with on Vimeo. This helps your agent map out your organizational reach.

The system invokes `delete_video` when necessary, but it requires confirmation first. The tracing feature lets you see exactly which user initiated the delete action and why.

This MCP Server touches video metadata (titles, descriptions) and user profiles via `get_me`. The agent processes this data to perform actions like updating records, ensuring you maintain control over what information is exposed.

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