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

Q: How do I list videos using this MCP Server?

Call listvideos from your agent logic. It returns an array of your workspace assets which you can then map over in your frontend.

Stream Loom (Async Video Messaging) data directly into your Vercel AI SDK frontends for real-time video management.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Loom (Async Video Messaging) MCP to Vercel AI SDK

Create your Vinkius account to connect Loom (Async Video Messaging) to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Loom (Async Video Messaging) with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Real-time metadata and transcript streaming

Feed your UI live video details by calling `get_video` directly from your edge functions. Your users see metadata populate instantly as the AI processes the response. Extract text content using `get_transcript` to render searchable video summaries on the fly. This avoids clunky loading states and keeps your application interface snappy.

Live viewer analytics inside the Vercel AI SDK

Surface engagement metrics by piping `get_video_analytics` into your dashboard components. It shows exactly how many people watched your content without refreshing the page. Use these metrics to trigger reactive UI updates, like highlighting top-performing videos. Your AI client handles the data flow while you focus on the display logic.

Direct video updates via the MCP Server

Rename or modify your video library using `update_video` without leaving your application code. It pushes changes to the cloud the moment your user clicks save. This MCP Server keeps your workspace state in sync. You define the logic once, and your frontend handles the rest through standard tool calls.

Setup guide

Set up Loom (Async Video Messaging) MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Loom (Async Video Messaging) tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Loom (Async Video Messaging) transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Loom (Async Video Messaging) now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

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

You connect via the standard MCP transport provided by the SDK. Once linked, you pass the toolset into your `streamText` function to start pulling video data immediately.

Yes. The server returns the full text which you can stream into your React or Next.js components. Just ensure your state management handles the chunked data coming from the agent.

Vinkius handles authentication through a single endpoint token. Your data stays scoped to your workspace and doesn't leak into the underlying models.

Call `list_videos` from your agent logic. It returns an array of your workspace assets which you can then map over in your frontend.

The server only touches what you explicitly request. It accesses video titles, transcripts, and watch counts, keeping your sensitive account details isolated.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript