Twelve Labs (Video Understanding) MCP Server for CrewAIGive CrewAI 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

Connect your CrewAI agents to Twelve Labs (Video Understanding) through Vinkius, pass the Edge URL in the `mcps` parameter and every Twelve Labs (Video Understanding) tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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The Twelve Labs (Video Understanding) MCP Server for CrewAI is a standout in the Ai Frontier category — giving your AI agent 18 tools to work with, ready to go from day one.

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Twelve Labs (Video Understanding) Specialist",
    goal="Help users interact with Twelve Labs (Video Understanding) effectively",
    backstory=(
        "You are an expert at leveraging Twelve Labs (Video Understanding) tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Twelve Labs (Video Understanding) "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 18 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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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.

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.

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 CrewAI 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 CrewAI

When CrewAI 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 CrewAI via MCP

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

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 18 tools from Twelve Labs (Video Understanding)

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

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Twelve Labs (Video Understanding) through the Model Context Protocol.

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

Twelve Labs (Video Understanding) + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Twelve Labs (Video Understanding) for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Twelve Labs (Video Understanding), analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Twelve Labs (Video Understanding) tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Twelve Labs (Video Understanding) against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for Twelve Labs (Video Understanding) in CrewAI

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

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

MCP tools not discovered

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

Agent not using tools

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

Timeout errors

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

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.

Twelve Labs (Video Understanding) + CrewAI FAQ

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

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.

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.

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.

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.

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.