Aliyun OSS / 阿里云对象存储 MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Aliyun OSS / 阿里云对象存储 through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Aliyun OSS / 阿里云对象存储 Assistant",
instructions=(
"You help users interact with Aliyun OSS / 阿里云对象存储. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Aliyun OSS / 阿里云对象存储"
)
print(result.final_output)
asyncio.run(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 OpenAI Agents SDK auto-discovers all 10 tools from Aliyun OSS / 阿里云对象存储 through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Aliyun OSS / 阿里云对象存储, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Aliyun OSS / 阿里云对象存储 MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from Aliyun OSS / 阿里云对象存储
Why Use OpenAI Agents SDK with the Aliyun OSS / 阿里云对象存储 MCP Server
OpenAI Agents SDK provides unique advantages when paired with Aliyun OSS / 阿里云对象存储 through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Aliyun OSS / 阿里云对象存储 + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Aliyun OSS / 阿里云对象存储 MCP Server delivers measurable value.
Automated workflows: build agents that query Aliyun OSS / 阿里云对象存储, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Aliyun OSS / 阿里云对象存储, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Aliyun OSS / 阿里云对象存储 tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Aliyun OSS / 阿里云对象存储 to resolve tickets, look up records, and update statuses without human intervention
Aliyun OSS / 阿里云对象存储 MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Aliyun OSS / 阿里云对象存储 to OpenAI Agents 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents 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 OpenAI Agents SDK
Common issues when connecting Aliyun OSS / 阿里云对象存储 to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Aliyun OSS / 阿里云对象存储 + OpenAI Agents SDK FAQ
Common questions about integrating Aliyun OSS / 阿里云对象存储 MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
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 OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.