How to Use the Livepeer (Decentralized Video) MCP in Vercel AI SDK

Q: Can I process video with Livepeer (Decentralized Video) in my Vercel AI SDK app?

Yes. You trigger transcoding jobs using createtranscodejob directly through your edge functions. The AI agent manages the task lifecycle for you.

Stream decentralized video directly into your Vercel AI SDK frontends. Manage infrastructure with live-updating tool results.

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…and any MCP-compatible client

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Connect Livepeer (Decentralized Video) MCP to Vercel AI SDK

Create your Vinkius account to connect Livepeer (Decentralized Video) 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 Livepeer (Decentralized Video) with Vercel AI SDK

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Instant Video Ingestion for AI SDK

Trigger asset uploads straight from your UI components using `request_asset_upload`. Your users won't see a loading spinner, just the progress of their media hitting the decentralized network. This MCP Server handles the handshake so your edge functions stay clean. You get a direct URL to push your video content without managing the backend plumbing yourself.

Real-Time Stream Control

Spin up new live broadcasts using `create_stream` while your AI client remains active in the loop. It’s all about keeping the session state synchronized with your application logic. Use `get_playback_info` to grab stream URLs immediately after creation. Your React or Svelte player can then latch onto these feeds without waiting for manual database updates.

Live Viewership Analytics

Feed live metrics into your dashboard by calling `get_viewership_metrics` and `get_realtime_viewership`. You get immediate data on who is watching and where they are located. Display these stats as the AI processes the broadcast status. It turns your interface into a live monitoring station for decentralized video performance.

Setup guide

Set up Livepeer (Decentralized Video) 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 Livepeer (Decentralized Video) 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 Livepeer (Decentralized Video) 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 Livepeer. 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 Livepeer (Decentralized Video) 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 Livepeer (Decentralized Video) MCP in Vercel AI SDK

You connect via the Vercel AI SDK MCP transport. It maps the server tools into your agent functions, letting you call them within your streamText handlers.

Yes. You trigger transcoding jobs using `create_transcode_job` directly through your edge functions. The AI agent manages the task lifecycle for you.

It does. You can feed stream URLs generated by the server into your video players while the agent monitors the broadcast health.

You catch them in your standard JavaScript try-catch blocks. Since the tools are just functions, your error handling remains consistent with the rest of your codebase.

Your asset data stays within the Livepeer network and is only accessible via the API keys you provide. Vinkius operates a zero-trust sandbox, so no metadata leaks to the host.

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