Vimeo MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Vimeo through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Vimeo Assistant",
instructions=(
"You help users interact with Vimeo. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Vimeo"
)
print(result.final_output)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Vimeo MCP Server
Empower your AI agent to orchestrate your entire video ecosystem on Vimeo, the world's most innovative video platform. By connecting Vimeo to your agent, you transform complex asset management into a natural conversation. Your agent can instantly list your videos, audit project folders, and retrieve performance stats without you ever touching a dashboard. Whether you are a professional filmmaker or a corporate communications lead, your agent acts as a real-time video operator, ensuring your content is always organized and accessible.
The OpenAI Agents SDK auto-discovers all 10 tools from Vimeo through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Vimeo, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
What you can do
- Video Auditing — List all videos in your account and retrieve detailed metadata, including duration, plays, and privacy settings.
- Folder Oversight — Browse your project folders to maintain a clear view of your content organization.
- Showcase Management — List all showcases (albums) and channels to monitor your public video distribution.
- Video Governance — Update video titles, descriptions, and autonomously delete items when they are no longer needed.
- Search Intelligence — Query public videos across Vimeo to find inspiration or relevant community content.
The Vimeo MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Vimeo to OpenAI Agents SDK via MCP
Follow these steps to integrate the Vimeo MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from Vimeo
Why Use OpenAI Agents SDK with the Vimeo MCP Server
OpenAI Agents SDK provides unique advantages when paired with Vimeo through the Model Context Protocol.
Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Vimeo + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Vimeo MCP Server delivers measurable value.
Automated workflows: build agents that query Vimeo, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Vimeo, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Vimeo tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Vimeo to resolve tickets, look up records, and update statuses without human intervention
Vimeo MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Vimeo to OpenAI Agents SDK via MCP:
delete_video
Delete a video from Vimeo
get_me
Get authenticated user info from Vimeo
get_video
Get details for a specific video
list_channels
List channels followed by a user
list_folders
List folders (projects) for a user
list_groups
List groups followed by a user
list_showcases
List showcases (albums) for a user
list_videos
List videos for a user
search_videos
Search for public videos on Vimeo
update_video
Update video metadata
Example Prompts for Vimeo in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Vimeo immediately.
"List my last 5 videos in Vimeo."
"Show me my Vimeo project folders."
"Search for public videos about 'Artificial Intelligence'."
Troubleshooting Vimeo MCP Server with OpenAI Agents SDK
Common issues when connecting Vimeo to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Vimeo + OpenAI Agents SDK FAQ
Common questions about integrating Vimeo MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Vimeo with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Vimeo to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
