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How to Use the Vidyard MCP in Vercel AI SDK

Real-time Vidyard management results streamed directly into your frontend using Vercel AI SDK.

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Works with every AI agent you already use

…and any MCP-compatible client

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Vercel AI SDK

Connect Vidyard MCP to Vercel AI SDK

Create your Vinkius account to connect Vidyard 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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Manage Player Assets for Your Next.js App

Your agent can check what players you've set up by calling `list_video_players`. If a player name is wrong, it runs `update_player_name` to fix the display title. Need specifics? Use `get_player_details` to pull all the metadata for a single container. This data streams instantly into your UI, letting users see the results appear live.

Download Streamable Video Sources

The tool `get_video_source_files` pulls direct stream URLs for various quality levels like 480p and 720p. This lets your frontend build video players using the raw links. If you need to know what assets are available, running `list_videos` shows every video stored in Vidyard. It's fast, and the results feed right into your client.

Control Player State Via MCP Server

Sometimes you just need a clean slate. Call `create_empty_player` to spin up a brand new video container that isn't tied to existing assets. When a player is done, use `delete_video_player`. This permanently wipes out the player container without touching the original source videos.

Setup guide

Set up Vidyard 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 Vidyard 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 Vidyard 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 Vidyard. 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.

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 Vidyard MCP in Vercel AI SDK

The MCP tool results stream directly into your application's UI. You don't wait for a loading spinner; the data appears in real-time as your agent executes commands like `get_player_details`.
It's safe. Calling `delete_video_player` only removes the container; it doesn't affect the actual original video files stored in your account.
Yep. The `list_videos` tool pulls every asset ID and name from your dashboard. This is useful for building indexes or confirming which files you're working with.
This server handles technical metadata, including direct stream URLs (`get_video_source_files`) and general asset information, but it doesn't touch user login credentials.
Yes. The whole point of connecting this MCP Server to Vercel AI SDK is that results stream live into your React/Next.js components.

Start using the Vidyard MCP today

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