Twelve Labs (Video Understanding) MCP Server for LlamaIndexGive LlamaIndex 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

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Twelve Labs (Video Understanding) as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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The Twelve Labs (Video Understanding) MCP Server for LlamaIndex 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

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python

import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Twelve Labs (Video Understanding). "
            "You have 18 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Twelve Labs (Video Understanding)?"
    )
    print(response)

asyncio.run(main())

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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.

LlamaIndex agents combine Twelve Labs (Video Understanding) tool responses with indexed documents for comprehensive, grounded answers. Connect 18 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex

When LlamaIndex 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 LlamaIndex via MCP

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

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 18 tools from Twelve Labs (Video Understanding)

Why Use LlamaIndex with the Twelve Labs (Video Understanding) MCP Server

LlamaIndex provides unique advantages when paired with Twelve Labs (Video Understanding) through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine Twelve Labs (Video Understanding) tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Twelve Labs (Video Understanding) tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Twelve Labs (Video Understanding), a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Twelve Labs (Video Understanding) tools were called, what data was returned, and how it influenced the final answer

Twelve Labs (Video Understanding) + LlamaIndex Use Cases

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

Hybrid search: combine Twelve Labs (Video Understanding) real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Twelve Labs (Video Understanding) to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Twelve Labs (Video Understanding) for fresh data

Analytical workflows: chain Twelve Labs (Video Understanding) queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Twelve Labs (Video Understanding) in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Twelve Labs (Video Understanding) + LlamaIndex FAQ

Common questions about integrating Twelve Labs (Video Understanding) MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Twelve Labs (Video Understanding) tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.