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Aliyun OSS / 阿里云对象存储 MCP Server for Google ADK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Aliyun OSS / 阿里云对象存储 as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Vinkius supports streamable HTTP and SSE.

python
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="aliyun_oss_agent",
    instruction=(
        "You help users interact with Aliyun OSS / 阿里云对象存储 "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)
Aliyun OSS / 阿里云对象存储
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

Google ADK natively supports Aliyun OSS / 阿里云对象存储 as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 Google ADK 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 Google ADK via MCP

Follow these steps to integrate the Aliyun OSS / 阿里云对象存储 MCP Server with Google ADK.

01

Install Google ADK

Run pip install google-adk

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Create the agent

Save the code above and integrate into your ADK workflow

04

Explore tools

The agent will discover 10 tools from Aliyun OSS / 阿里云对象存储 via MCP

Why Use Google ADK with the Aliyun OSS / 阿里云对象存储 MCP Server

Google ADK provides unique advantages when paired with Aliyun OSS / 阿里云对象存储 through the Model Context Protocol.

01

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

02

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Aliyun OSS / 阿里云对象存储

03

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

04

Seamless integration with Google Cloud services means you can combine Aliyun OSS / 阿里云对象存储 tools with BigQuery, Vertex AI, and Cloud Functions

Aliyun OSS / 阿里云对象存储 + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Aliyun OSS / 阿里云对象存储 MCP Server delivers measurable value.

01

Enterprise data agents: ADK agents query Aliyun OSS / 阿里云对象存储 and cross-reference results with internal databases for comprehensive analysis

02

Multi-modal workflows: combine Aliyun OSS / 阿里云对象存储 tool responses with Gemini's vision and language capabilities in a single agent

03

Automated compliance checks: schedule ADK agents to query Aliyun OSS / 阿里云对象存储 regularly and flag policy violations or configuration drift

04

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Aliyun OSS / 阿里云对象存储

Aliyun OSS / 阿里云对象存储 MCP Tools for Google ADK (10)

These 10 tools become available when you connect Aliyun OSS / 阿里云对象存储 to Google ADK via MCP:

01

copy_object

Uses x-oss-copy-source header. Copy an object within the bucket

02

delete_object

Delete an object from OSS

03

download_object_text

Best for text/JSON files. Download an object as text

04

get_bucket_acl

Get bucket access control list

05

get_bucket_info

Get bucket configuration

06

get_bucket_location

g., oss-cn-hangzhou) where your bucket is located. Get bucket region

07

get_bucket_statistics

Get bucket storage statistics

08

get_object_metadata

Get object metadata (HEAD)

09

list_objects

Use prefix to filter by path, marker for pagination. List objects in the bucket

10

upload_object

Max 5GB per request. Upload text content to OSS

Example Prompts for Aliyun OSS / 阿里云对象存储 in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Aliyun OSS / 阿里云对象存储 immediately.

01

"List all objects in my Aliyun OSS bucket with prefix 'images/'."

02

"Upload this text to 'config/settings.json': '{"theme": "dark"}'."

03

"What is the public URL for 'docs/manual.pdf'?"

Troubleshooting Aliyun OSS / 阿里云对象存储 MCP Server with Google ADK

Common issues when connecting Aliyun OSS / 阿里云对象存储 to Google ADK through the Vinkius, and how to resolve them.

01

McpToolset not found

Update: pip install --upgrade google-adk

Aliyun OSS / 阿里云对象存储 + Google ADK FAQ

Common questions about integrating Aliyun OSS / 阿里云对象存储 MCP Server with Google ADK.

01

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
02

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
03

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.

Connect Aliyun OSS / 阿里云对象存储 to Google ADK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.