How to Use the Aliyun VOD / 阿里云视频点播 MCP in Mastra AI

Q: How do I list media from Aliyun VOD / 阿里云视频点播 in Mastra AI?

Add the server to your agent configuration and call listmedia. The agent will return a structured list of your videos that you can iterate through for further tasks.

Q: Can I search for specific assets in Aliyun VOD / 阿里云视频点播 using Mastra AI?

Yes, pass your query to searchvodmedia. The tool returns a list of results that you can use to trigger subsequent steps in your agent workflow.

Build reliable video workflows with Aliyun VOD / 阿里云视频点播 and Mastra AI agents.

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Connect Aliyun VOD / 阿里云视频点播 MCP to Mastra AI

Create your Vinkius account to connect Aliyun VOD / 阿里云视频点播 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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Setup Aliyun VOD / 阿里云视频点播 with Mastra AI

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Automated video cleanup for Mastra AI

Configure your agents to audit your library using `list_media`. If an agent identifies stale content, it can trigger `delete_media` to keep your storage costs down. Mastra AI handles the retries if the network blips. Your workflow stays clean and your storage remains lean without manual oversight.

Conditional video processing with Mastra AI

Branch your logic based on video status by fetching details with `get_media_metadata`. If a video isn't ready, your agent can wait or flag it for review. This lets you create complex pipelines. You define the rules, and the agent executes them against your Aliyun VOD / 阿里云视频点播 account.

Secure media access for this MCP Server

Use `get_playback_info` to generate secure links as part of a larger multi-step agent task. This ensures your video delivery is always protected. Your Mastra AI agent coordinates the retrieval and distribution of these URLs. It’s a hands-off approach to managing complex media distribution paths.

Setup guide

Set up Aliyun VOD / 阿里云视频点播 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

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

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Aliyun VOD / 阿里云视频点播 tools become native Mastra tools.
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: "aliyun-vod-mcp-client",
  servers: {
    "aliyun-vod-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Aliyun VOD / 阿里云视频点播 Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Aliyun VOD / 阿里云视频点播 tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Aliyun VOD / 阿里云视频点播 transactions"
);
console.log(result.text);

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Common questions about Aliyun VOD / 阿里云视频点播 MCP in Mastra AI

Add the server to your agent configuration and call `list_media`. The agent will return a structured list of your videos that you can iterate through for further tasks.

Yes, pass your query to `search_vod_media`. The tool returns a list of results that you can use to trigger subsequent steps in your agent workflow.

Mastra AI includes a built-in workflow engine that manages retries and backoff logic. If a tool call fails, the agent handles the recovery automatically.

All requests are authenticated via a single endpoint token managed by Vinkius. The communication happens inside an ephemeral sandbox environment.

The server only reads and writes video attributes like titles and IDs. No raw video files are stored or cached by the server during these operations.

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