How to Use the Loom (Async Video Messaging) MCP in Cursor

Q: How do I add the Loom (Async Video Messaging) MCP Server to Cursor?

Create a .cursor/mcp.json file in your repository root and define the server configuration there. Enable Agent mode in your Cursor chat panel to start calling the tools.

Q: Can my Cursor agent update video titles on Loom (Async Video Messaging)?

Yes, the updatevideo tool allows Cursor to change video titles directly from your chat interface. This helps keep your demo recordings synchronized with your git branch names.

Q: Can I list all workspace members?

Yes, the listworkspacemembers tool returns everyone in your organization. You can use this to map viewer analytics back to specific team members.

Generate code that works with real video analytics and transcripts using Cursor.

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Connect Loom (Async Video Messaging) MCP to Cursor

Create your Vinkius account to connect Loom (Async Video Messaging) to Cursor 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 Loom (Async Video Messaging) with Cursor

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Inject Real Loom Transcripts into Cursor Code

The `get_transcript` tool pulls actual spoken text straight into your active editing session. Your Cursor agent reads this data to generate unit tests, documentation, or code comments based on what you explained in your screen share. You do not need to copy-paste text or write mock payloads. The editor pulls the live transcript, allowing you to build features using real-world data patterns immediately.

Audit Workspace Videos with the Cursor MCP Server

The `list_videos` tool retrieves your entire recording library directly inside your editor. Cursor uses this list to map video IDs to your internal documentation files automatically. If you are refactoring legacy modules, your agent scans for corresponding walkthroughs to explain the original implementation. This links your codebase directly to the recorded context behind it.

Track Retention Rates to Guide Code Updates

The `get_video_analytics` tool exposes drop-off metrics and view counts directly to your development environment. Cursor analyzes these numbers to show you which tutorial videos are failing to keep viewers engaged. You use these insights to decide which documentation needs a rewrite. Having engagement data next to your markdown files makes it obvious where your onboarding guides are falling short.

Setup guide

Set up Loom (Async Video Messaging) MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the Loom (Async Video Messaging) MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent Loom (Async Video Messaging) transactions." If the MCP tools are loaded correctly, Cursor will call the Loom (Async Video Messaging) tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "loom-async-video-messaging-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 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 Cursor

Create a `.cursor/mcp.json` file in your repository root and define the server configuration there. Enable Agent mode in your Cursor chat panel to start calling the tools.

Yes, the `update_video` tool allows Cursor to change video titles directly from your chat interface. This helps keep your demo recordings synchronized with your git branch names.

It lets your coding agent read transcripts and viewer data to write context-aware documentation. You save time by skipping the manual export steps entirely.

Yes, the `list_workspace_members` tool returns everyone in your organization. You can use this to map viewer analytics back to specific team members.

Vinkius isolates the server execution environment using ephemeral V8 sandboxes. Your workspace member lists and video metadata are transmitted securely through this single endpoint token, ensuring no data leaks into public training sets.

Use it with your favorite AI tools

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