Can I automatically list all buckets in my Qiniu account?

Yes! Use the `list_buckets` tool. Your agent will retrieve a complete list of all Kodo storage buckets currently configured in your account.

How do I refresh the CDN cache for a specific URL?

Use the `refresh_cdn` tool with a list of target URLs. This will trigger the Qiniu Fusion CDN to purge the old cached versions and fetch the latest assets.

Can I retrieve metadata for a specific file?

Yes! Use the `get_file_stat` tool with the bucket name and file key. Your agent will return the file size, hash, and MIME type.

Qiniu Cloud MCP Server for Pydantic AI 11 tools — connect in under 2 minutes

Name: Qiniu Cloud
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 11 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Qiniu Cloud through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Qiniu Cloud "
            "(11 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Qiniu Cloud?"
    )
    print(result.data)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

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DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

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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 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.

Pydantic AI validates every Qiniu Cloud tool response against typed schemas, catching data inconsistencies at build time. Connect 11 tools through the Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code — full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the Qiniu Cloud MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 11 tools from Qiniu Cloud with type-safe schemas

Why Use Pydantic AI with the Qiniu Cloud MCP Server

Pydantic AI provides unique advantages when paired with Qiniu Cloud through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture — switch between OpenAI, Anthropic, or Gemini without changing your Qiniu Cloud integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Qiniu Cloud connection logic from agent behavior for testable, maintainable code

Qiniu Cloud + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Qiniu Cloud MCP Server delivers measurable value.

Type-safe data pipelines: query Qiniu Cloud with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Qiniu Cloud tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Qiniu Cloud and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Qiniu Cloud responses and write comprehensive agent tests

Qiniu Cloud MCP Tools for Pydantic AI (11)

These 11 tools become available when you connect Qiniu Cloud to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

Common issues when connecting Qiniu Cloud to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Qiniu Cloud + Pydantic AI FAQ

Common questions about integrating Qiniu Cloud MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer — your Qiniu Cloud MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.