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Twelve Labs (Video Understanding) MCP Server

Bring Video Search
to CrewAI

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

MCP Inspector 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

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
Twelve Labs (Video Understanding)

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

  1. Subscribe to this server
  2. Enter your Twelve Labs API Key
  3. 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

Search for moments in videos

update_index

Update an index name

Why CrewAI?

When paired with CrewAI, Twelve Labs (Video Understanding) becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Twelve Labs (Video Understanding) tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

  • Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

  • CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the mcps parameter and agents auto-discover every available tool at runtime

  • Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

  • Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

See it in action

Twelve Labs (Video Understanding) in CrewAI

AI AgentVinkius
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 CrewAI 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 catalogFind and host yourself4,000+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

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

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 CrewAI 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.

Twelve Labs (Video Understanding)
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 CrewAI

Every tool call from CrewAI 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

01

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.

02

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.

03

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.

04

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

05

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

06

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

07

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

08

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.

09

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

10

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

11

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

12

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

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