Aliyun OSS / 阿里云对象存储 MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Aliyun OSS / 阿里云对象存储 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 OSS / 阿里云对象存储, 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 OSS / 阿里云对象存储 MCP Server
Empower your AI agent to orchestrate your cloud storage and asset management with Aliyun OSS (对象存储), the dominant object storage provider in China. By connecting Aliyun OSS to your agent, you transform complex file operations, bucket auditing, and metadata management into a natural conversation. Your agent can instantly upload text assets, retrieve detailed object metadata, list bucket contents with prefix filtering, and monitor storage status without you ever needing to navigate the comprehensive Aliyun Console. Whether you are conducting a digital asset audit or coordinating a content refresh, your agent acts as a real-time cloud storage assistant, providing accurate and fast results from a single, authorized source.
The Vercel AI SDK gives every Aliyun OSS / 阿里云对象存储 tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 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
- Asset Orchestration — Upload, delete, and manage text-based objects across your Aliyun OSS buckets.
- Metadata Auditing — Retrieve detailed HTTP headers and custom metadata for any stored object.
- Bucket Management — List objects with advanced filtering (prefix, marker) and verify bucket locations.
- Public URL Generation — Automatically generate public endpoints for your shared assets.
- System Monitoring — Monitor bucket configuration and API connectivity to ensure operational health.
The Aliyun OSS / 阿里云对象存储 MCP Server exposes 10 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 OSS / 阿里云对象存储 to Vercel AI SDK via MCP
Follow these steps to integrate the Aliyun OSS / 阿里云对象存储 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 10 tools from Aliyun OSS / 阿里云对象存储 and passes them to the LLM
Why Use Vercel AI SDK with the Aliyun OSS / 阿里云对象存储 MCP Server
Vercel AI SDK provides unique advantages when paired with Aliyun OSS / 阿里云对象存储 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 OSS / 阿里云对象存储 integration everywhere
Built-in streaming UI primitives let you display Aliyun OSS / 阿里云对象存储 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 OSS / 阿里云对象存储 + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Aliyun OSS / 阿里云对象存储 MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Aliyun OSS / 阿里云对象存储 in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Aliyun OSS / 阿里云对象存储 tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Aliyun OSS / 阿里云对象存储 capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Aliyun OSS / 阿里云对象存储 through natural language queries
Aliyun OSS / 阿里云对象存储 MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Aliyun OSS / 阿里云对象存储 to Vercel AI SDK via MCP:
copy_object
Uses x-oss-copy-source header. Copy an object within the bucket
delete_object
Delete an object from OSS
download_object_text
Best for text/JSON files. Download an object as text
get_bucket_acl
Get bucket access control list
get_bucket_info
Get bucket configuration
get_bucket_location
g., oss-cn-hangzhou) where your bucket is located. Get bucket region
get_bucket_statistics
Get bucket storage statistics
get_object_metadata
Get object metadata (HEAD)
list_objects
Use prefix to filter by path, marker for pagination. List objects in the bucket
upload_object
Max 5GB per request. Upload text content to OSS
Example Prompts for Aliyun OSS / 阿里云对象存储 in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Aliyun OSS / 阿里云对象存储 immediately.
"List all objects in my Aliyun OSS bucket with prefix 'images/'."
"Upload this text to 'config/settings.json': '{"theme": "dark"}'."
"What is the public URL for 'docs/manual.pdf'?"
Troubleshooting Aliyun OSS / 阿里云对象存储 MCP Server with Vercel AI SDK
Common issues when connecting Aliyun OSS / 阿里云对象存储 to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpAliyun OSS / 阿里云对象存储 + Vercel AI SDK FAQ
Common questions about integrating Aliyun OSS / 阿里云对象存储 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 OSS / 阿里云对象存储 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 OSS / 阿里云对象存储 to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.