Twelve Labs (Video Understanding) MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 18 tools to Analyze Async, Analyze Sync, Confirm Multipart Upload, and more

Name: Twelve Labs (Video Understanding)
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Twelve Labs (Video Understanding) through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Ask AI about this MCP Server for OpenAI Agents SDK

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The Twelve Labs (Video Understanding) MCP Server for OpenAI Agents SDK is a standout in the Ai Frontier category — giving your AI agent 18 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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ChatGPT

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VS Code

JetBrains

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+ other MCP clients

python

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="Twelve Labs (Video Understanding) Assistant",
            instructions=(
                "You help users interact with Twelve Labs (Video Understanding). "
                "You have access to 18 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Twelve Labs (Video Understanding)"
        )
        print(result.final_output)

asyncio.run(main())

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* 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 Twelve Labs (Video Understanding) MCP Server

Connect Twelve Labs to your AI agent to unlock the full potential of video understanding. This server allows your agent to index video files, perform complex semantic searches, and generate deep analytical insights from visual and audio data.

The OpenAI Agents SDK auto-discovers all 18 tools from Twelve Labs (Video Understanding) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Twelve Labs (Video Understanding), another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Video Indexing — Create and manage indexes to organize your video library for rapid retrieval and analysis.
Semantic Search — Query your video content using natural language to find specific moments, objects, or actions without manual tagging.
Asset Management — Upload videos via URLs or multipart sessions and monitor their indexing status in real-time.
Deep Analysis — Run synchronous or asynchronous analysis tasks to extract structured data from your video assets.
Embeddings & Entities — Generate multimodal embeddings and manage entity collections for advanced machine learning workflows.

The Twelve Labs (Video Understanding) MCP Server exposes 18 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 18 Twelve Labs (Video Understanding) tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to Twelve Labs (Video Understanding) through Vinkius, your AI agent gets direct access to every tool listed below — spanning video-search, multimodal-ai, semantic-search, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

analyze

Analyze async on Twelve Labs (Video Understanding)

Analyze and segment videos asynchronously

analyze

Analyze sync on Twelve Labs (Video Understanding)

Analyze and segment videos synchronously

confirm

Confirm multipart upload on Twelve Labs (Video Understanding)

Confirm a multipart upload

create

Create asset on Twelve Labs (Video Understanding)

Upload content to create an asset

create

Create entity on Twelve Labs (Video Understanding)

g., a person) within a collection. Create an entity

create

Create entity collection on Twelve Labs (Video Understanding)

Create an entity collection

create

Create index on Twelve Labs (Video Understanding)

Create a new index

create

Create multipart upload on Twelve Labs (Video Understanding)

Create a multipart upload session

delete

Delete index on Twelve Labs (Video Understanding)

Delete an index

embed

Embed async on Twelve Labs (Video Understanding)

Create embeddings asynchronously

embed

Embed sync on Twelve Labs (Video Understanding)

Create embeddings synchronously

get

Get index on Twelve Labs (Video Understanding)

Retrieve an index by ID

get

Get indexed asset on Twelve Labs (Video Understanding)

Retrieve an indexed asset

index

Index asset on Twelve Labs (Video Understanding)

Index an uploaded asset

list

List indexes on Twelve Labs (Video Understanding)

List all indexes

report

Report multipart progress on Twelve Labs (Video Understanding)

Report progress for a multipart upload

action

Search on Twelve Labs (Video Understanding)

Search for moments in videos

update

Update index on Twelve Labs (Video Understanding)

Update an index name

Connect Twelve Labs (Video Understanding) to OpenAI Agents SDK via MCP

Follow these steps to wire Twelve Labs (Video Understanding) into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 18 tools from Twelve Labs (Video Understanding)

Why Use OpenAI Agents SDK with the Twelve Labs (Video Understanding) MCP Server

OpenAI Agents SDK provides unique advantages when paired with Twelve Labs (Video Understanding) 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

Twelve Labs (Video Understanding) + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Twelve Labs (Video Understanding) MCP Server delivers measurable value.

Automated workflows: build agents that query Twelve Labs (Video Understanding), process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Twelve Labs (Video Understanding), another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Twelve Labs (Video Understanding) tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Twelve Labs (Video Understanding) to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Twelve Labs (Video Understanding) in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Twelve Labs (Video Understanding) immediately.

"List all my Twelve Labs video indexes."

"Create a new index named 'Webinar-Archive' using the Marengo 3.0 model with visual and audio options."

"Search for 'a person presenting a slideshow' in index idx_abc123."

Troubleshooting Twelve Labs (Video Understanding) MCP Server with OpenAI Agents SDK

Common issues when connecting Twelve Labs (Video Understanding) to OpenAI Agents SDK through Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Twelve Labs (Video Understanding) + OpenAI Agents SDK FAQ

Common questions about integrating Twelve Labs (Video Understanding) MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use 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?

Yes. Pass a list of 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?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

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