How to Use the Aliyun VOD / 阿里云视频点播 MCP in Vercel AI SDK
Stream Aliyun VOD / 阿里云视频点播 metadata directly into your Vercel AI SDK frontends for live video management.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Aliyun VOD / 阿里云视频点播 MCP to Vercel AI SDK
Create your Vinkius account to connect Aliyun VOD / 阿里云视频点播 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.
Real-time video metadata for Vercel AI SDK
Feed your UI live video details by calling `get_media_metadata` directly from your server-side functions. Your users see video titles and timestamps pop into the interface the moment your agent finishes the request. Stop waiting for spinners. By piping the output of `list_media` into your state, your React components update instantly as the AI discovers new assets.
Manage playback streams with AI SDK
Generate secure playback URLs inside your edge functions using `get_playback_info`. This keeps your private keys hidden while your frontend gets the signed link it needs to start the player. It handles the heavy lifting of authentication logic. You just pass the result to your video component and the stream kicks off without a hitch.
Upload and organize with this MCP Server
Kick off new uploads by triggering `create_upload_auth` inside your form handlers. Your agent grabs the necessary tokens so your users can push video files directly to your storage bucket. Categorize incoming content automatically using `list_categories`. Your app stays organized because the agent sorts every file based on the metadata it pulls from the Aliyun VOD / 阿里云视频点播 API.
Set up Aliyun VOD / 阿里云视频点播 MCP in Vercel AI SDK
Prerequisites
- Node.js 18+ and a TypeScript project
-
ai+@modelcontextprotocol/sdkpackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
npm install ai @modelcontextprotocol/sdkplus your preferred model provider (e.g.@ai-sdk/openai). - 2
Create the Streamable HTTP transport
Use
StreamableHTTPClientTransportwith 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 Aliyun VOD / 阿里云视频点播 tools. Pass them directly togenerateText()orstreamText()— 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.
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 Aliyun VOD / 阿里云视频点播 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 Aliyun VOD / 阿里云视频点播. 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 Aliyun VOD / 阿里云视频点播 MCP in Vercel AI SDK
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the Aliyun VOD / 阿里云视频点播 MCP today
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