Twelve Labs (Video Understanding) MCP Server for Pydantic AIGive Pydantic AI 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

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Twelve Labs (Video Understanding) through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Ask AI about this MCP Server for Pydantic AI

Open in ChatGPT Open in Claude Open in Perplexity

The Twelve Labs (Video Understanding) MCP Server for Pydantic AI 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

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Twelve Labs (Video Understanding) "
            "(18 tools)."
        ),
    )

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

asyncio.run(main())

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

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.

Pydantic AI validates every Twelve Labs (Video Understanding) tool response against typed schemas, catching data inconsistencies at build time. Connect 18 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI

When Pydantic AI 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 Pydantic AI via MCP

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

Install Pydantic AI

Run pip install pydantic-ai

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) with type-safe schemas

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

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

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Twelve Labs (Video Understanding) integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Twelve Labs (Video Understanding) connection logic from agent behavior for testable, maintainable code

Twelve Labs (Video Understanding) + Pydantic AI Use Cases

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

Type-safe data pipelines: query Twelve Labs (Video Understanding) with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Twelve Labs (Video Understanding) tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Twelve Labs (Video Understanding) and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Twelve Labs (Video Understanding) responses and write comprehensive agent tests

Example Prompts for Twelve Labs (Video Understanding) in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Twelve Labs (Video Understanding) + Pydantic AI FAQ

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

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Twelve Labs (Video Understanding) MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

Explore More MCP Servers

View all →

Code Climate

8 tools

Manage code quality and engineering metrics via Code Climate — track repository grades, monitor snapshots, and audit test coverage directly from any AI agent.