Twelve Labs (Video Understanding) MCP Server for AutoGenGive AutoGen instant access to 18 tools to Analyze Async, Analyze Sync, Confirm Multipart Upload, and more
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Twelve Labs (Video Understanding) as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
Ask AI about this MCP Server for AutoGen
The Twelve Labs (Video Understanding) MCP Server for AutoGen is a standout in the Ai Frontier category — giving your AI agent 18 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="twelve_labs_video_understanding_agent",
tools=tools,
system_message=(
"You help users with Twelve Labs (Video Understanding). "
"18 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
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 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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Twelve Labs (Video Understanding) tools. Connect 18 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen
When AutoGen 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 async on Twelve Labs (Video Understanding)
Analyze and segment videos asynchronously
Analyze sync on Twelve Labs (Video Understanding)
Analyze and segment videos synchronously
Confirm multipart upload on Twelve Labs (Video Understanding)
Confirm a multipart upload
Create asset on Twelve Labs (Video Understanding)
Upload content to create an asset
Create entity on Twelve Labs (Video Understanding)
g., a person) within a collection. Create an entity
Create entity collection on Twelve Labs (Video Understanding)
Create an entity collection
Create index on Twelve Labs (Video Understanding)
Create a new index
Create multipart upload on Twelve Labs (Video Understanding)
Create a multipart upload session
Delete index on Twelve Labs (Video Understanding)
Delete an index
Embed async on Twelve Labs (Video Understanding)
Create embeddings asynchronously
Embed sync on Twelve Labs (Video Understanding)
Create embeddings synchronously
Get index on Twelve Labs (Video Understanding)
Retrieve an index by ID
Get indexed asset on Twelve Labs (Video Understanding)
Retrieve an indexed asset
Index asset on Twelve Labs (Video Understanding)
Index an uploaded asset
List indexes on Twelve Labs (Video Understanding)
List all indexes
Report multipart progress on Twelve Labs (Video Understanding)
Report progress for a multipart upload
Search on Twelve Labs (Video Understanding)
Search for moments in videos
Update index on Twelve Labs (Video Understanding)
Update an index name
Connect Twelve Labs (Video Understanding) to AutoGen via MCP
Follow these steps to wire Twelve Labs (Video Understanding) into AutoGen. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install AutoGen
pip install "autogen-ext[mcp]"Replace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenIntegrate into workflow
Explore tools
Why Use AutoGen with the Twelve Labs (Video Understanding) MCP Server
AutoGen provides unique advantages when paired with Twelve Labs (Video Understanding) through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Twelve Labs (Video Understanding) tools to solve complex tasks
Role-based architecture lets you assign Twelve Labs (Video Understanding) tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Twelve Labs (Video Understanding) tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Twelve Labs (Video Understanding) tool responses in an isolated environment
Twelve Labs (Video Understanding) + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Twelve Labs (Video Understanding) MCP Server delivers measurable value.
Collaborative analysis: one agent queries Twelve Labs (Video Understanding) while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Twelve Labs (Video Understanding), a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Twelve Labs (Video Understanding) data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Twelve Labs (Video Understanding) responses in a sandboxed execution environment
Example Prompts for Twelve Labs (Video Understanding) in AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting Twelve Labs (Video Understanding) to AutoGen through Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Twelve Labs (Video Understanding) + AutoGen FAQ
Common questions about integrating Twelve Labs (Video Understanding) MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
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