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How to Use the Loom (Async Video Messaging) MCP in VS Code Copilot

Share automated video auditing and transcript analysis tools with your entire team in VS Code Copilot.

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VS Code Copilot

Connect Loom (Async Video Messaging) MCP to VS Code Copilot

Create your Vinkius account to connect Loom (Async Video Messaging) 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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Team-Wide Loom Video Audits in VS Code Copilot

The `list_videos` tool allows your team to query and catalog workspace recordings directly from the chat panel. By saving the MCP Server configuration to your `.vscode/mcp.json` file, every developer on the project gets instant access to these tools. Your team scans for legacy demos or outdated onboarding videos without leaving the editor. This shared configuration ensures everyone uses the same cataloging scripts.

Extract Transcripts with this VS Code Copilot MCP Server

The `get_transcript` tool pulls spoken text directly into your active workspace files. VS Code Copilot uses this raw text to generate markdown documentation, code comments, or pull request summaries. This eliminates the manual effort of transcribing design meetings or architecture overviews. Your agent reads the transcript and structures it into clean documentation in seconds.

Keep Workspace Libraries Organized

The `update_video` and `delete_video` tools let you maintain your team's video assets directly from the terminal. You can write scripts for VS Code Copilot to rename recordings or clean up temporary debug clips. Using `list_folders` helps your team structure recordings into logical directories. This keeps your shared workspace clean and easy to navigate for new hires.

Setup guide

Set up Loom (Async Video Messaging) 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. 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. 2

    Add the Loom (Async Video Messaging) 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. 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. 4

    Verify the connection

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

.vscode/mcp.json
{
  "mcpServers": {
    "loom-async-video-messaging-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Loom. 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 Loom (Async Video Messaging) MCP in VS Code Copilot

Add the server settings to a `.vscode/mcp.json` file at the root of your shared git repository. This automatically registers the tools for any team member opening the project in VS Code.
Yes, the `get_video_analytics` tool fetches view counts and completion metrics directly. Your agent can use this to report on which training videos your team has completed.
It integrates your team's async video library directly with your codebase. Your agent can pull transcripts to write context-rich code or check if a demo video is still active.
Yes, the `list_folders` tool lets you view the directory structure of your workspace. You can use this to keep track of where different team recordings are stored.
All operations run through Vinkius's secure, SOC 2-compliant V8 sandboxed environment. Your video transcripts and workspace analytics are handled using ephemeral connections, ensuring your proprietary data remains private and secure.

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