Twelve Labs (Video Understanding) MCP Server for LangChainGive LangChain 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

LangChain is the leading Python framework for composable LLM applications. Connect Twelve Labs (Video Understanding) through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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The Twelve Labs (Video Understanding) MCP Server for LangChain 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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VS Code

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+ other MCP clients

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "twelve-labs-video-understanding": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Twelve Labs (Video Understanding), show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

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EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

LangChain's ecosystem of 500+ components combines seamlessly with Twelve Labs (Video Understanding) through native MCP adapters. Connect 18 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain

When LangChain 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 LangChain via MCP

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

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

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

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

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

The largest ecosystem of integrations, chains, and agents. combine Twelve Labs (Video Understanding) MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Twelve Labs (Video Understanding) queries for multi-turn workflows

Twelve Labs (Video Understanding) + LangChain Use Cases

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

RAG with live data: combine Twelve Labs (Video Understanding) tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Twelve Labs (Video Understanding), synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Twelve Labs (Video Understanding) tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Twelve Labs (Video Understanding) tool call, measure latency, and optimize your agent's performance

Example Prompts for Twelve Labs (Video Understanding) in LangChain

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

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Twelve Labs (Video Understanding) + LangChain FAQ

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

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.