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

Build complex video workflows in Mastra AI. Automate stream lifecycles with branching logic and built-in retry patterns.

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Works with every AI agent you already use

…and any MCP-compatible client

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Mastra AI

Connect Livepeer (Decentralized Video) MCP to Mastra AI

Create your Vinkius account to connect Livepeer (Decentralized Video) to Mastra AI 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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Automated Stream Lifecycle Management

Define workflows that handle the entire broadcast process using `create_stream` and `terminate_stream`. If a stream fails to initialize, Mastra AI agents can trigger a retry automatically. This prevents manual oversight during your high-traffic events. The agent maintains the state machine for your broadcast, ensuring every session is cleaned up after completion.

Conditional Multistream Routing

Set up complex branching logic to push feeds to platforms using `create_multistream_target`. Your agent can decide whether to broadcast to Twitch or YouTube based on current viewership data. It checks `get_multistream_target` before firing the command. This ensures your video reaches the right audience without you lifting a finger.

Reliable Webhook Event Handling

Subscribe to broadcast events by deploying `create_webhook` through your agent definitions. Mastra AI processes these signals to update your system state in real-time. When a stream starts or ends, the webhook sends the trigger. Your agent then executes the next logical step in your pipeline without human intervention.

Setup guide

Set up Livepeer (Decentralized Video) MCP in Mastra AI

Prerequisites

  • Node.js 18+ and a TypeScript project
  • @mastra/mcp + @mastra/core packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

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

  2. 2

    Configure the MCPClient

    Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Discover and inject tools

    Call mcpClient.listTools() and spread the result into your agent's tools object. All Livepeer (Decentralized Video) tools become native Mastra tools.

  4. 4

    Run with any model

    Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts
import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "livepeer-decentralized-video-mcp-client",
  servers: {
    "livepeer-decentralized-video-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Livepeer (Decentralized Video) Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Livepeer (Decentralized Video) tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Livepeer (Decentralized Video) transactions"
);
console.log(result.text);

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.

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Common questions about Livepeer (Decentralized Video) MCP in Mastra AI

You instantiate an MCPClient in your Mastra project. This exposes all tools to your agents, allowing them to chain `create_stream` and `create_multistream_target` calls.
Absolutely. You build workflows that use this MCP Server to automate transcoding and stream distribution with built-in retry logic.
Yes. The server provides the tools needed for your agents to monitor and control video infrastructure within your defined workflow steps.
You store your Livepeer credentials as environment variables in your Mastra project. The MCP client accesses them securely at runtime.
Your asset information, such as file names and playback URLs, is encrypted in transit. The Vinkius sandbox ensures that only your authorized agent can interact with your specific data.

Start using the Livepeer (Decentralized Video) MCP today

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Built & Managed by Vinkius 30s setup 34 tools

We've already built the connector for Livepeer (Decentralized Video). Just plug in your AI agents and start using Vinkius.

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All 34 tools are live and waiting. You're up and running in seconds.

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