Aliyun OSS / 阿里云对象存储 MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Aliyun OSS / 阿里云对象存储 through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"aliyun-oss": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Aliyun OSS / 阿里云对象存储 Agent",
instructions:
"You help users interact with Aliyun OSS / 阿里云对象存储 " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Aliyun OSS / 阿里云对象存储?"
);
console.log(result.text);
}
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.
Mastra's agent abstraction provides a clean separation between LLM logic and Aliyun OSS / 阿里云对象存储 tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the Aliyun OSS / 阿里云对象存储 MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from Aliyun OSS / 阿里云对象存储 via MCP
Why Use Mastra AI with the Aliyun OSS / 阿里云对象存储 MCP Server
Mastra AI provides unique advantages when paired with Aliyun OSS / 阿里云对象存储 through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Aliyun OSS / 阿里云对象存储 without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Aliyun OSS / 阿里云对象存储 tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Aliyun OSS / 阿里云对象存储 + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Aliyun OSS / 阿里云对象存储 MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Aliyun OSS / 阿里云对象存储, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Aliyun OSS / 阿里云对象存储 as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Aliyun OSS / 阿里云对象存储 on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Aliyun OSS / 阿里云对象存储 tools alongside other MCP servers
Aliyun OSS / 阿里云对象存储 MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Aliyun OSS / 阿里云对象存储 to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Aliyun OSS / 阿里云对象存储 to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpAliyun OSS / 阿里云对象存储 + Mastra AI FAQ
Common questions about integrating Aliyun OSS / 阿里云对象存储 MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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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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 Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.