How to Use the Vimeo MCP in Vercel AI SDK

Q: How do I check my profile data using Vimeo and Vercel AI SDK?

Just call getme. Your agent streams back your authenticated user details, which you can then display in the UI. You don't need to hit a separate API endpoint; the data shows up live.

Q: What happens if I delete a video using Vimeo and Vercel AI SDK?

The deletevideo tool handles this action. Your agent calls it, and you'll see the confirmation stream back to your UI, letting the user know the asset is gone.

Q: Can I find public videos using Vimeo and Vercel AI SDK?

Yep. You use searchvideos. This tool searches publicly available content on Vimeo. The results stream back so you can show users exactly what they're searching through.

Q: Does this MCP Server support listing all my groups for Vercel AI SDK?

Yes, the listgroups tool handles that. It pulls a list of followed groups from your Vimeo account and streams them out so you can build out group management features.

See Vimeo data stream live right into your UI with Vercel AI SDK.

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Connect Vimeo MCP to Vercel AI SDK

Create your Vinkius account to connect Vimeo 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.

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Setup Vimeo with Vercel AI SDK

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Displaying Real-Time Video Assets via MCP Server

When your agent calls `list_videos` or `search_videos`, the results don't wait for a loading spinner. Instead, they stream directly to the user interface in real time. This makes building interactive dashboards around Vimeo content feel immediate and responsive. You can build out pages that show video metadata updating live as your agent executes actions like calling `get_video` or checking details on a specific asset.

Managing User Content Streams with Vercel AI SDK

You need to audit a user's entire portfolio? Use the MCP Server to list assets by scope. Calling `list_folders`, `list_groups`, or `list_channels` streams out structured data, allowing your frontend to render complex navigation trees instantly. This is perfect for building internal tools that let end-users see their full Vimeo presence—from projects (`list_folders`) down to individual videos (`list_videos`).

Updating Metadata Through Live Streams

The `update_video` tool lets you change video details. Instead of waiting for a success message, your agent streams the status update and new metadata directly into the UI. The user sees exactly when the asset changes. This live feedback loop is key for building reliable user-facing products that interact with Vimeo's content management.

Setup guide

Set up Vimeo 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 Vimeo 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 Vimeo 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 Vimeo. 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.

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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.

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One

place for every integration

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Common questions about Vimeo MCP in Vercel AI SDK

Just call `get_me`. Your agent streams back your authenticated user details, which you can then display in the UI. You don't need to hit a separate API endpoint; the data shows up live.

The `delete_video` tool handles this action. Your agent calls it, and you'll see the confirmation stream back to your UI, letting the user know the asset is gone.

Yep. You use `search_videos`. This tool searches publicly available content on Vimeo. The results stream back so you can show users exactly what they're searching through.

Yes, the `list_groups` tool handles that. It pulls a list of followed groups from your Vimeo account and streams them out so you can build out group management features.

The server touches detailed video metadata, including the video ID, status, title, and associated user information. This is exposed via tools like `get_video`.

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