LangChainFramework

Twelve Labs (Video Understanding) MCP Server

Bring Video Search
to LangChain

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

Learn how to connect Twelve Labs (Video Understanding) to LangChain and start using 18 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

GDPR Free for Subscribers

Analyze AsyncAnalyze SyncConfirm Multipart UploadCreate AssetCreate EntityCreate Entity CollectionCreate IndexCreate Multipart UploadDelete IndexEmbed AsyncEmbed SyncGet IndexGet Indexed AssetIndex AssetList IndexesReport Multipart ProgressSearchUpdate Index

Unlock for AI Agents

Ask AI about this MCP Server ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

What is the 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.

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.

How it works

Subscribe to this server
Enter your Twelve Labs API Key
Start querying your video data from Claude, Cursor, or any MCP-compatible client

Transform your video archives into searchable, actionable data. Your AI can now 'watch' and understand hours of footage in seconds.

Who is this for?

Content Creators & Media Teams — quickly find b-roll or specific scenes across massive video libraries.
Security & Operations — search through hours of footage for specific events or objects using natural language.
Developers — integrate state-of-the-art video understanding into your AI workflows without building complex pipelines.

Built-in capabilities (18)

analyze_async

Analyze and segment videos asynchronously

analyze_sync

Analyze and segment videos synchronously

confirm_multipart_upload

Confirm a multipart upload

create_asset

Upload content to create an asset

create_entity

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

create_entity_collection

Create an entity collection

create_index

Create a new index

create_multipart_upload

Create a multipart upload session

delete_index

Delete an index

embed_async

Create embeddings asynchronously

embed_sync

Create embeddings synchronously

get_index

Retrieve an index by ID

get_indexed_asset

Retrieve an indexed asset

index_asset

Index an uploaded asset

list_indexes

List all indexes

report_multipart_progress

Report progress for a multipart upload

Search for moments in videos

update_index

Update an index name

Why LangChain?

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.

—
The largest ecosystem of integrations, chains, and agents. combine Twelve Labs (Video Understanding) MCP tools with 500+ LangChain components
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Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
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LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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Memory and conversation persistence let agents maintain context across Twelve Labs (Video Understanding) queries for multi-turn workflows

See it in action

Twelve Labs (Video Understanding) in LangChain

AI Agent→Vinkius

High Security·Kill Switch·Plug and Play

Why Vinkius

Twelve Labs (Video Understanding) and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect Twelve Labs (Video Understanding) to LangChain through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

4,000+MCP Servers ready

<40msCold start

60%Token savings

	Raw MCP	Vinkius
Server catalog	Find and host yourself	4,000+ managed
Infrastructure	Self-hosted	Sandboxed V8 isolates
Credential handling	Plaintext in config	Vault + runtime injection
Data loss prevention	None	Configurable DLP policies
Kill switch	None	Global instant shutdown
Financial circuit breakers	None	Per-server limits + alerts
Audit trail	None	Ed25519 signed logs
SIEM log streaming	None	Splunk, Datadog, Webhook
Honeytokens	None	Canary alerts on leak
Custom domains	Not applicable	DNS challenge verified
GDPR compliance	Manual effort	Automated purge + export

Unlock for AI Agents View step-by-step setup guide for LangChain →

Enterprise Security

Why teams choose Vinkius for Twelve Labs (Video Understanding) in LangChain

The Twelve Labs (Video Understanding) 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. All 18 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in LangChain only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Unlock for AI Agents View full Twelve Labs (Video Understanding) details →

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

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

The Vinkius Advantage

How Vinkius secures
Twelve Labs (Video Understanding) for LangChain

Every tool call from LangChain to the Twelve Labs (Video Understanding) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start

Ed25519Signed audit chain

60%Token savings

FAQ

Frequently asked questions

How do I list all my existing video indexes?

You can use the list_indexes tool. It will return a list of all indexes available in your Twelve Labs account, including their IDs and configuration.

Can I search for a specific moment inside my videos using text?

Yes! Use the search tool by providing an index_id and a search query. The AI will find the most relevant timestamps and video segments based on your description.

How do I add a new video to an index for analysis?

First, use create_asset with a public URL to upload the video. Then, use the index_asset tool with the resulting asset_id and your target index_id to start the processing.

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.