How to Use the Twelve Labs (Video Understanding) MCP in VS Code Copilot

Q: How do I search for video moments using Twelve Labs (Video Understanding) and VS Code Copilot?

The agent uses the search tool to query your indexed videos. You input the criteria, and the MCP Server returns detailed time codes and segments that you can immediately use in code comments or tests.

Q: What happens if I need to update an index name using Twelve Labs (Video Understanding) and VS Code Copilot?

You run the updateindex tool. The system handles the rename while maintaining all associated metadata, preventing broken code references across your team's repositories.

Q: Can I analyze videos in real time using Twelve Labs (Video Understanding) and VS Code Copilot?

While full analysis usually runs asynchronously (analyzeasync), you can use analyzesync for smaller, immediate video segments to quickly confirm context within your coding session.

Access structured video insights for your team using Twelve Labs (Video Understanding) with VS Code Copilot.

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Connect Twelve Labs (Video Understanding) MCP to VS Code Copilot

Create your Vinkius account to connect Twelve Labs (Video Understanding) to VS Code Copilot and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Twelve Labs (Video Understanding) with VS Code Copilot

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Structuring Video Data via the MCP Server in VS Code Copilot

For team projects, managing data consistency is key. You can `create_entity_collection` to organize related media assets before coding begins. The agent uses this structure when calling tools like `get_indexed_asset`. The entire team shares the context provided by the MCP Server. This allows every developer to access and reference structured video data, ensuring everyone works off a consistent source of truth.

Running Video Analyses with VS Code Copilot

The agent can perform deep analyses using `analyze_async` or `analyze_sync`. These tools extract semantic insights from the video data, providing results that can be written directly into your source code for testing or reporting. This structured approach means you don't just get a file; you get actionable, formatted data that fits right into your existing codebase.

Retrieving Video Context with the MCP Server in VS Code Copilot

Need to know what’s available? Use `list_indexes` to see all current video indexes. When you need specific data, the agent calls `get_index` or `get_indexed_asset`. This capability makes sure developers aren't guessing which dataset they should use. It streamlines development because all the necessary tools are committed to the repository via `.vscode/mcp.json`.

Setup guide

Set up Twelve Labs (Video Understanding) MCP in VS Code Copilot

Prerequisites

VS Code 1.99 or later with GitHub Copilot extension
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create .vscode/mcp.json in your workspace.
2

Add the Twelve Labs (Video Understanding) MCP

Paste the JSON snippet shown on the right into your .vscode/mcp.json. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Switch to Agent mode

Open Copilot Chat (Cmd+Shift+I / Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes.
4

Verify the connection

In the Copilot Chat input, type # to list available tools. You should see the Twelve Labs (Video Understanding) tools listed. Try asking: "List my recent Twelve Labs (Video Understanding) transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

{
  "mcpServers": {
    "twelve-labs-video-understanding-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Twelve Labs. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Twelve Labs (Video Understanding) MCP in VS Code Copilot

The agent uses the `search` tool to query your indexed videos. You input the criteria, and the MCP Server returns detailed time codes and segments that you can immediately use in code comments or tests.

Yes. By committing the MCP configuration, your entire team can access multiple data streams managed by `create_multipart_upload`. This treats all videos as a single, unified context for development.

You run the `update_index` tool. The system handles the rename while maintaining all associated metadata, preventing broken code references across your team's repositories.

While full analysis usually runs asynchronously (`analyze_async`), you can use `analyze_sync` for smaller, immediate video segments to quickly confirm context within your coding session.

The server handles raw video content, index metadata, and vector embeddings. Since the configuration is managed via a committed repository file, all developers are bound by the same compliance standards.

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