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Twelve Labs (Video Understanding) MCP Server for CursorGive Cursor instant access to 18 tools to Analyze Async, Analyze Sync, Confirm Multipart Upload, and more

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Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.

Ask AI about this MCP Server for Cursor

The Twelve Labs (Video Understanding) MCP Server for Cursor 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

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
Classic Setup·json
{
  "mcpServers": {
    "twelve-labs-video-understanding": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}
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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.

Cursor's Agent mode turns Twelve Labs (Video Understanding) into an in-editor superpower. Ask Cursor to generate code using live data from Twelve Labs (Video Understanding) and it fetches, processes, and writes. all in a single agentic loop. 18 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.

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 Cursor 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 Cursor

When Cursor 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 Cursor via MCP

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

01

Open MCP Settings

Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
02

Add the server config

Paste the JSON configuration above into the mcp.json file that opens
03

Save the file

Cursor will automatically detect the new MCP server
04

Start using Twelve Labs (Video Understanding)

Open Agent mode in chat and ask: "Using Twelve Labs (Video Understanding), help me...". 18 tools available

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

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

01

Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context

02

Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards

03

MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment

04

VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools

Twelve Labs (Video Understanding) + Cursor Use Cases

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

01

Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP

02

Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically

03

Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates

04

Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data

Example Prompts for Twelve Labs (Video Understanding) in Cursor

Ready-to-use prompts you can give your Cursor agent to start working with Twelve Labs (Video Understanding) immediately.

01

"List all my Twelve Labs video indexes."

02

"Create a new index named 'Webinar-Archive' using the Marengo 3.0 model with visual and audio options."

03

"Search for 'a person presenting a slideshow' in index idx_abc123."

Troubleshooting Twelve Labs (Video Understanding) MCP Server with Cursor

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

01

Tools not appearing in Cursor

Ensure you are in Agent mode (not Ask mode). MCP tools only work in Agent mode.
02

Server shows as disconnected

Check Settings → Features → MCP and verify the server status. Try clicking the refresh button.

Twelve Labs (Video Understanding) + Cursor FAQ

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

01

What is Agent mode and why does it matter for MCP?

Agent mode is Cursor's autonomous execution mode where the AI can perform multi-step tasks: reading files, editing code, running terminal commands, and calling MCP tools. Without Agent mode, Cursor operates in a simpler ask-and-answer mode that doesn't support tool calling. Always ensure you're in Agent mode when working with MCP servers.
02

Where does Cursor store MCP configuration?

Cursor looks for MCP server configurations in a mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.
03

Can Cursor use MCP tools in inline edits?

No. MCP tools are only available in Agent mode through the chat panel. Inline completions and Tab suggestions do not trigger MCP tool calls. This is by design. tool calls require user visibility and approval.
04

How do I verify MCP tools are loaded?

Open Settings → Features → MCP and look for your server name. A green indicator means the server is connected. You can also check Agent mode's available tools by clicking the tools dropdown in the chat panel.

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