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How to Use the Vimeo Alternative MCP in Vercel AI SDK

See your video data appear instantly in React with the Vercel AI SDK.

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Works with every AI agent you already use

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Vercel AI SDK

Connect Vimeo Alternative MCP to Vercel AI SDK

Create your Vinkius account to connect Vimeo Alternative 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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Real-time Video Metadata Retrieval for ai-sdk

The `get_video` tool lets you pull metadata for a specific asset. When paired with your agent, this data streams directly into the UI as soon as it's ready, skipping any loading spinners. It also handles basic user info via `get_user`. This means if your front end needs to display who owns the content before showing video details, you get both pieces of information instantly.

Managing Video Uploads with MCP Server and ai-sdk

Use `create_video_upload` when you need a user to submit new content. The agent sends the ticket data to the server, and your client receives confirmation immediately through the stream. Need to clean up old assets? Call `delete_video`. This quick operation ensures that once the delete request is processed by the MCP Server, the UI updates without delay.

Listing User Content for ai-sdk

You can get a list of all videos belonging to the authenticated user using `list_my_videos`. This tool populates your dashboard with current content at runtime. For more detail, `list_user_albums` gives you access to showcases. The data streams in so that even large sets of albums populate the UI without performance hits.

Setup guide

Set up Vimeo Alternative 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. 1

    Install dependencies

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

  2. 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. 3

    Discover and use tools

    Call mcpClient.tools() to auto-discover all Vimeo Alternative tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.

  4. 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 Alternative transactions",
});

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

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.

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Common questions about Vimeo Alternative MCP in Vercel AI SDK

The `ai-sdk` sends MCP tool results directly into your user interface as they arrive. You don't wait for a single bulk response; you see the data appearing in real time, which is critical for smooth frontends.
This server interacts with video metadata and user profiles. Specifically, it handles asset IDs, owner user names, and upload ticket statuses.
You invoke `search_videos` through your agent. The result streams back live to your client. This means users see potential matches appear instantly as the query is processed by the MCP Server.
Yep, absolutely. You can use `get_user` or `get_me` to pull profile data. This information streams into your application's state right away.
A standard API call often results in a loading spinner until all data is ready. Using `ai-sdk` means the MCP Server feeds the results into your UI as soon as each piece of data becomes available.

Start using the Vimeo Alternative MCP today

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Built & Managed by Vinkius 30s setup 13 tools

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