Qiniu Cloud MCP Server for Google ADK 11 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Qiniu Cloud as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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="qiniu_cloud_agent",
instruction=(
"You help users interact with Qiniu Cloud "
"using 11 available tools."
),
tools=[mcp_tools],
)
* 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 Qiniu Cloud MCP Server
Connect your AI agents to Qiniu Cloud (七牛云), the leading enterprise cloud storage and content delivery network in China. This MCP provides 10 tools to manage the full lifecycle of your cloud assets, from bucket orchestration and file manipulation to CDN cache refreshment and global traffic monitoring.
Google ADK natively supports Qiniu Cloud as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 11 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
- Storage Orchestration — List buckets and manage file lifecycles, including deletions and bulk operations
- File Management — Retrieve granular metadata for stored assets and generate download URLs programmatically
- CDN Optimization — Refresh cache and prefetch content to ensure high-performance delivery across the network
- Usage Analytics — Monitor bandwidth consumption and storage quotas directly through natural conversation
The Qiniu Cloud MCP Server exposes 11 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 Qiniu Cloud to Google ADK via MCP
Follow these steps to integrate the Qiniu Cloud MCP Server with Google ADK.
Install Google ADK
Run pip install google-adk
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Create the agent
Save the code above and integrate into your ADK workflow
Explore tools
The agent will discover 11 tools from Qiniu Cloud via MCP
Why Use Google ADK with the Qiniu Cloud MCP Server
Google ADK provides unique advantages when paired with Qiniu Cloud through the Model Context Protocol.
Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Qiniu Cloud
Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
Seamless integration with Google Cloud services means you can combine Qiniu Cloud tools with BigQuery, Vertex AI, and Cloud Functions
Qiniu Cloud + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Qiniu Cloud MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Qiniu Cloud and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Qiniu Cloud tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Qiniu Cloud regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Qiniu Cloud
Qiniu Cloud MCP Tools for Google ADK (11)
These 11 tools become available when you connect Qiniu Cloud to Google ADK via MCP:
delete_file
Delete a file from a bucket
get_account_info
Retrieve Qiniu account profile
get_bucket_domains
Get domains associated with a specific bucket
get_cdn_bandwidth
Get CDN bandwidth statistics
get_file_stat
Get metadata for a specific file
get_pfop_status
Check the status of a persistent processing task
get_sms_stats
Get SMS sending statistics
list_buckets
List all storage buckets in your Qiniu account
list_files
List files within a bucket
persistent_file_op
Trigger persistent file processing (transcoding, etc.)
refresh_cdn_urls
Refresh CDN cache for specific URLs
Example Prompts for Qiniu Cloud in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Qiniu Cloud immediately.
"List all storage buckets in my Qiniu account."
"Get the file status for 'logo.png' in bucket 'media-assets'."
"Refresh the CDN cache for 'https://cdn.example.com/styles.css'."
Troubleshooting Qiniu Cloud MCP Server with Google ADK
Common issues when connecting Qiniu Cloud to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkQiniu Cloud + Google ADK FAQ
Common questions about integrating Qiniu Cloud MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
Connect Qiniu Cloud 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.
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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 Qiniu Cloud to Google ADK
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.
