Aliyun OSS MCP. Audit, manage, and control cloud assets via natural conversation.
Works with every AI agent you already use
…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
Aliyun OSS MCP connects your AI agent directly to China's leading object storage system. It lets you manage files, audit metadata, and govern assets across buckets without touching a console dashboard.
You can list contents using prefix filtering, retrieve detailed object metadata (like HTTP headers), or generate public URLs for shared files—all through natural conversation.
What your AI agents can do
Copy object
Duplicates a specific object within your bucket using the source header.
Delete object
Permanently removes an object from OSS.
Download object text
Downloads a file and formats its content specifically for text or JSON processing.
Retrieve detailed object metadata, including HTTP headers, for any file stored in a bucket.
Upload new text content to the storage system or delete existing objects completely.
Check the contents of a bucket, filtering by specific paths or using markers for large-scale pagination.
View the current access control list (ACL) or get overall configuration details for any storage bucket.
Copy an object from one source location to another within your defined buckets.
Ask AI about this MCP
Supported MCP Clients
OAuth 2.0 CompatibleWaiting for input…
Aliyun OSS / 阿里云对象存储: 10 Tools
These ten tools give you granular control over every aspect of object storage—from uploading new files to auditing complex permissions.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Aliyun OSS / 阿里云对象存储 on Vinkius019d8414copy object
Duplicates a specific object within your bucket using the source header.
019d8414delete object
Permanently removes an object from OSS.
019d8414download object text
Downloads a file and formats its content specifically for text or JSON processing.
019d8414get bucket acl
Retrieves the full list of access permissions applied to an entire bucket.
019d8414get bucket info
Gets basic operational details and configuration settings for a specified bucket.
019d8414get bucket location
Determines the geographic region where your particular storage bucket is hosted.
019d8414get bucket statistics
Calculates and reports current usage statistics for a given bucket.
019d8414get object metadata
Retrieves the technical metadata (HEAD) of a single object, useful for auditing headers.
019d8414list objects
Lists all objects in the bucket, allowing you to filter by path or use markers for pagination.
019d8414upload object
Sends and stores new text content into a designated object key within OSS.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Aliyun OSS / 阿里云对象存储, then connect any of our 4,800+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,800+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Aliyun OSS / 阿里云对象存储. 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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No stored credentials
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 10 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Auditing cloud assets means clicking through five different dashboards.
Today, if your team needs to audit a content library, you're faced with opening the Aliyun Console. You click into 'Buckets,' then switch tabs to 'Objects.' To check file properties, you might have to open multiple files just to view their metadata headers; worse, checking permissions requires navigating a separate access control list page for every single bucket and object.
With this MCP, that manual clicking stops entirely. You tell your agent: 'Give me the full ACL and the stats for the main content bucket.' The agent executes `get_bucket_acl` and `get_bucket_statistics`, compiling all required data into a clean response, right in your chat window. It's immediate.
The Aliyun OSS MCP gives you full control over object lifecycle management.
Before this, managing assets was segmented: uploads went to the console; listing files required manual filtering on a webpage; and deletion meant navigating the trash or versioning history. There was no single point of truth for coordinating these steps.
Now, you can coordinate everything in one conversation. You upload new content using `upload_object`, then immediately verify its existence with `get_object_metadata` and ensure it's properly indexed by running a targeted `list_objects` query. It’s an end-to-end workflow executed without ever leaving your AI workspace.
What you can do with this MCP connector
Managing cloud assets is usually a headache; it involves jumping between consoles just to check permissions or count how many objects match a certain pattern. This MCP lets your agent handle all that complexity. You talk to your AI client, and the agent figures out which file operation you need—whether you're uploading new text assets, checking the access control list for an old bucket, or auditing object metadata headers.
It’s like having a real-time cloud storage assistant available 24/7. With Vinkius, connecting this power source means your AI can execute these complex actions reliably and securely from one authorized point. You don't write deployment scripts; you just ask the agent to do it.
019d8415-2362-7211-bf87-43552a7fac47 How Aliyun OSS MCP Works
- 1 First, subscribe to this MCP using your Aliyun AccessKey ID, Secret, Endpoint, and the specific Bucket Name.
- 2 Next, pass these credentials to your AI client so it can establish a secure connection with the object storage system.
- 3 Finally, instruct your agent—for example, 'List all objects under /reports/'—and watch it execute the necessary API calls.
The bottom line is: you provide the keys; your AI client handles the technical calls and gives you a simple answer.
Who Is Aliyun OSS MCP For?
DevOps engineers who spend too much time writing repetitive cloud scripts. Content operations managers who need to audit thousands of assets manually before a launch. Any developer needing deep, programmatic control over cloud storage APIs without boilerplate code.
Automating asset deployments and running compliance checks; they use this MCP to monitor bucket configuration and run object deletion routines.
Coordinating large-scale content refreshes or digital asset audits, checking detailed metadata for consistency across multiple files.
Integrating professional cloud storage APIs into an agent workflow; they use this to build out file handling logic without writing the underlying SDK calls.
What Changes When You Connect
- You don't have to write boilerplate code just to check permissions. Use
get_bucket_aclto instantly audit who can access a bucket without scripting the API call. - Need to find every file with 'report' in it? The
list_objectstool lets you filter by path, saving you from sifting through thousands of assets manually. - Uploading content is simple. Just tell your agent to use
upload_object, and it handles the payload size limits (up to 5GB) for you. - Audit data integrity with
get_object_metadata. This tool retrieves HTTP headers, letting you verify crucial details like last modified dates without guessing. - Copying files is straightforward. You use
copy_objectwhen you need a duplicate of an asset in another location; it's faster than manual re-uploads.
Real-World Use Cases
The Content Audit
A content manager needs to audit 5,000 archived marketing assets. Instead of writing a script that loops through every file and checks its access rules, they prompt the agent: 'Run list_objects for /marketing/ and then run get_object_metadata on the first five results.' The system returns all necessary details in one go.
The Deployment Rollback
A developer needs to quickly delete a bad configuration file. They instruct the agent: 'Run delete_object for key /config/temp.json.' The agent executes the deletion and confirms the object is gone, preventing system downtime.
The Data Migration Check
A DevOps engineer moved a batch of assets across regions and needs to confirm everything worked. They ask the agent to 'Check the bucket location using get_bucket_location' and then run get_bucket_statistics to confirm file counts match pre-migration reports.
The Public Link Generator
A team needs a publicly accessible link for a single document. They ask the agent for 'the public URL for this asset.' The system uses its capabilities to generate the endpoint, saving them from manual URL construction.
The Tradeoffs
Assuming Read Permissions
A user tries to run delete_object on a critical file without first checking who owns it or if the bucket is read-only. The deletion fails, and they waste time debugging API errors.
→
Always check permissions first. Run get_bucket_acl to confirm write access before attempting any destructive action like calling delete_object.
Missing Context
A user tries to download a file by just naming it 'report.pdf'. The system fails because the API needs both the full key and confirmation of its existence.
→
First, use list_objects with a prefix like /reports/ to confirm the exact path. Then, run download_object_text using that confirmed, precise key.
Over-relying on single tools
A user tries to track asset movement by only calling get_bucket_info. This only gives basic status and misses crucial metadata changes.
→
For full visibility, you must chain operations. Start with list_objects for the inventory, then use get_object_metadata on specific items to capture all necessary details.
When It Fits, When It Doesn't
Use this MCP if your primary workflow involves programmatic management of assets stored in Aliyun OSS; specifically, if you need to audit metadata headers (get_object_metadata), check complex permissions (get_bucket_acl), or handle bulk operations like listing paths with prefixes. Don't use it if all you need is simple drag-and-drop file sharing—in that case, a basic cloud client works fine. However, if your process requires reading the bucket’s current status before making any change (e.g., checking get_bucket_statistics to confirm capacity), this MCP gives you the granular control necessary for reliable automation.
Common Questions About Aliyun OSS MCP
How do I use the copy_object tool? +
You simply tell the agent to 'Copy this object from path A to path B.' The system handles the internal API call for copy_object, ensuring the data is replicated reliably within your bucket structure.
What's the difference between list_objects and get_bucket_statistics? +
list_objects shows you what files are there—the names, paths, and counts. get_bucket_statistics tells you how much storage space those files take up in total.
Can I get the access control list using get_bucket_acl? +
Yes, that's exactly what it does. Running get_bucket_acl returns a complete manifest of all permission rules governing who can do what to the bucket.
What if my file is corrupted? Can I check its metadata with get_object_metadata? +
get_object_metadata retrieves technical headers, like content type and size. While it won't fix corruption, checking the metadata can help diagnose if the object was uploaded incomplete or incorrectly.
What happens when I use `delete_object`? Is the removal permanent? +
Yes, deletion via this MCP is immediate and irreversible within Aliyun OSS. You'll need to confirm you want to remove an object before running the command, as there is no trash bin function here.
Will `download_object_text` work if I try to retrieve a binary file like a JPEG image? +
No. This tool is specifically built for plain text and JSON files only. If the object is binary, you must use a different method to download it raw, otherwise, it'll fail.
Does `get_bucket_info` require specific credentials beyond my main API key? +
No, this MCP handles authentication through your authorized client connection. You only need to ensure the AccessKey and Secret provided during setup grant sufficient read permissions.
What are the size limitations if I run `upload_object`? +
The tool supports uploads up to 5GB per single request. If you have assets larger than that, you'll need to implement a multi-part upload sequence outside of this MCP.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.