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

Q: How do I filter videos in Loom (Async Video Messaging) using Mastra AI?

You pull the video list with listvideos and apply your custom filtering logic inside your agent step. It's the most flexible way to sort through your files.

Q: Can I require human approval for Loom (Async Video Messaging) actions in Mastra AI?

Absolutely. Use the requireToolApproval setting on your agent to force a pause before the MCP Server executes a destructive action like deletevideo.

Q: How does the MCP Server handle workspace members?

The listworkspacemembers tool returns the current roster of your account. You can use this to map video ownership or audit access.

Build complex video workflows with Mastra AI and the Loom (Async Video Messaging) MCP Server.

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Connect Loom (Async Video Messaging) MCP to Mastra AI

Create your Vinkius account to connect Loom (Async Video Messaging) to Mastra AI 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 Mastra AI

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Automated video lifecycle management

Chain together `list_videos` and `delete_video` to clean up your workspace automatically. You can build agents that scan for stale content and remove it after specific conditions are met. Define your workflow in Mastra AI to handle these tasks in the background. It ensures your storage stays organized without manual intervention.

Conditional video processing with Mastra AI

Use `get_video_analytics` to decide whether a video needs an update or archiving. If view counts are low, your agent can trigger `update_video` to change the title or description automatically. This logic keeps your library relevant. The agent checks the data and acts only when necessary, saving you time.

Workspace monitoring with the MCP Server

Track team activity by running `list_workspace_members` and `list_folders` through your agent. You get a clear picture of how your team organizes their video messages. Embed these tools into your Mastra AI workflows to keep tabs on workspace health. It provides the visibility you need to manage large teams effectively.

Setup guide

Set up Loom (Async Video Messaging) MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Loom (Async Video Messaging) tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "loom-async-video-messaging-mcp-client",
  servers: {
    "loom-async-video-messaging-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Loom (Async Video Messaging) Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Loom (Async Video Messaging) tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Loom (Async Video Messaging) transactions"
);
console.log(result.text);

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Common questions about Loom (Async Video Messaging) MCP in Mastra AI

Yes. Since Mastra AI has a built-in workflow engine, you can configure exponential backoff for any tool call. This is perfect for handling occasional API rate limits.

You pull the video list with `list_videos` and apply your custom filtering logic inside your agent step. It's the most flexible way to sort through your files.

Absolutely. Use the `requireToolApproval` setting on your agent to force a pause before the MCP Server executes a destructive action like `delete_video`.

The `list_workspace_members` tool returns the current roster of your account. You can use this to map video ownership or audit access.

Vinkius enforces strict security protocols. The server only processes the video metadata like transcripts and analytics, keeping your core content secure.

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