Qiniu Cloud MCP Server for OpenAI Agents SDK 11 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Qiniu Cloud through the 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="Qiniu Cloud Assistant",
instructions=(
"You help users interact with Qiniu Cloud. "
"You have access to 11 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Qiniu Cloud"
)
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 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.
The OpenAI Agents SDK auto-discovers all 11 tools from Qiniu Cloud through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Qiniu Cloud, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
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 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 Qiniu Cloud to OpenAI Agents SDK via MCP
Follow these steps to integrate the Qiniu Cloud 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 11 tools from Qiniu Cloud
Why Use OpenAI Agents SDK with the Qiniu Cloud MCP Server
OpenAI Agents SDK provides unique advantages when paired with Qiniu Cloud 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
Qiniu Cloud + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Qiniu Cloud MCP Server delivers measurable value.
Automated workflows: build agents that query Qiniu Cloud, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Qiniu Cloud, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Qiniu Cloud tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Qiniu Cloud to resolve tickets, look up records, and update statuses without human intervention
Qiniu Cloud MCP Tools for OpenAI Agents SDK (11)
These 11 tools become available when you connect Qiniu Cloud to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Qiniu Cloud to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Qiniu Cloud + OpenAI Agents SDK FAQ
Common questions about integrating Qiniu Cloud 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 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.
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 Qiniu Cloud to OpenAI Agents SDK
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.
