Twelve Labs (Video Understanding) MCP Server for CursorGive Cursor instant access to 18 tools to Analyze Async, Analyze Sync, Confirm Multipart Upload, and more
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.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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"twelve-labs-video-understanding": {
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The modern way to manage MCP Servers — no config files, no terminal commands. Install Twelve Labs (Video Understanding) and 4,000+ MCP Servers from a single visual interface.





* 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.
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 async on Twelve Labs (Video Understanding)
Analyze and segment videos asynchronously
Analyze sync on Twelve Labs (Video Understanding)
Analyze and segment videos synchronously
Confirm multipart upload on Twelve Labs (Video Understanding)
Confirm a multipart upload
Create asset on Twelve Labs (Video Understanding)
Upload content to create an asset
Create entity on Twelve Labs (Video Understanding)
g., a person) within a collection. Create an entity
Create entity collection on Twelve Labs (Video Understanding)
Create an entity collection
Create index on Twelve Labs (Video Understanding)
Create a new index
Create multipart upload on Twelve Labs (Video Understanding)
Create a multipart upload session
Delete index on Twelve Labs (Video Understanding)
Delete an index
Embed async on Twelve Labs (Video Understanding)
Create embeddings asynchronously
Embed sync on Twelve Labs (Video Understanding)
Create embeddings synchronously
Get index on Twelve Labs (Video Understanding)
Retrieve an index by ID
Get indexed asset on Twelve Labs (Video Understanding)
Retrieve an indexed asset
Index asset on Twelve Labs (Video Understanding)
Index an uploaded asset
List indexes on Twelve Labs (Video Understanding)
List all indexes
Report multipart progress on Twelve Labs (Video Understanding)
Report progress for a multipart upload
Search on Twelve Labs (Video Understanding)
Search for moments in videos
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.
Open MCP Settings
Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"Add the server config
mcp.json file that opensSave the file
Start using Twelve Labs (Video Understanding)
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.
Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context
Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards
MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment
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.
Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP
Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically
Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates
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.
"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 Cursor
Common issues when connecting Twelve Labs (Video Understanding) to Cursor through Vinkius, and how to resolve them.
Tools not appearing in Cursor
Server shows as disconnected
Twelve Labs (Video Understanding) + Cursor FAQ
Common questions about integrating Twelve Labs (Video Understanding) MCP Server with Cursor.
What is Agent mode and why does it matter for MCP?
Where does Cursor store MCP configuration?
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.Can Cursor use MCP tools in inline edits?
How do I verify MCP tools are loaded?
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