Aliyun VOD / 阿里云视频点播 MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Aliyun VOD / 阿里云视频点播 through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Aliyun VOD / 阿里云视频点播, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Aliyun VOD / 阿里云视频点播 MCP Server
Empower your AI agent to orchestrate your video infrastructure and digital asset management with Aliyun VOD (视频点播), the premier media processing platform in China. By connecting Aliyun VOD to your agent, you transform complex media listing, playback authorization, and upload management into a natural conversation. Your agent can instantly retrieve detailed video metadata, generate authorized play URLs, search through massive video libraries, and manage media categories without you ever needing to navigate the comprehensive Aliyun Console. Whether you are conducting a digital content audit or coordinating a video distribution workflow, your agent acts as a real-time media operations specialist, providing accurate and fast results from a single, authorized source.
The Vercel AI SDK gives every Aliyun VOD / 阿里云视频点播 tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Media Orchestration — List stored videos, retrieve technical metadata, and permanently delete obsolete media assets.
- Playback Management — Automatically generate secure play URLs and retrieve definition details for any VideoId.
- Content Discovery — Search your media library using advanced matching and filter by categories.
- Upload Automation — Initialize video uploads by retrieving UploadAuth and UploadAddress tokens directly through the agent.
- Template Auditing — List available transcode template groups to ensure consistent video processing standards.
The Aliyun VOD / 阿里云视频点播 MCP Server exposes 8 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Aliyun VOD / 阿里云视频点播 to Vercel AI SDK via MCP
Follow these steps to integrate the Aliyun VOD / 阿里云视频点播 MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 8 tools from Aliyun VOD / 阿里云视频点播 and passes them to the LLM
Why Use Vercel AI SDK with the Aliyun VOD / 阿里云视频点播 MCP Server
Vercel AI SDK provides unique advantages when paired with Aliyun VOD / 阿里云视频点播 through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Aliyun VOD / 阿里云视频点播 integration everywhere
Built-in streaming UI primitives let you display Aliyun VOD / 阿里云视频点播 tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Aliyun VOD / 阿里云视频点播 + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Aliyun VOD / 阿里云视频点播 MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Aliyun VOD / 阿里云视频点播 in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Aliyun VOD / 阿里云视频点播 tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Aliyun VOD / 阿里云视频点播 capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Aliyun VOD / 阿里云视频点播 through natural language queries
Aliyun VOD / 阿里云视频点播 MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect Aliyun VOD / 阿里云视频点播 to Vercel AI SDK via MCP:
create_upload_auth
Get upload credentials
delete_media
Delete VOD video
get_media_metadata
Get video info
get_playback_info
Get play URLs
list_categories
List media categories
list_media
List VOD media
refresh_upload_auth
Refresh upload token
search_vod_media
Search media library
Example Prompts for Aliyun VOD / 阿里云视频点播 in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Aliyun VOD / 阿里云视频点播 immediately.
"List the most recent 10 videos in my Aliyun VOD library."
"Get the technical metadata and playback info for video '88210934'."
"Search for videos matching 'Tutorial' and show their categories."
Troubleshooting Aliyun VOD / 阿里云视频点播 MCP Server with Vercel AI SDK
Common issues when connecting Aliyun VOD / 阿里云视频点播 to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpAliyun VOD / 阿里云视频点播 + Vercel AI SDK FAQ
Common questions about integrating Aliyun VOD / 阿里云视频点播 MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Aliyun VOD / 阿里云视频点播 with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Purpose-built IDE for agentic AI coding workflows.
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Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Aliyun VOD / 阿里云视频点播 to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.