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 LangChain 11 tools — connect in under 2 minutes

Name: Qiniu Cloud
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 11 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Qiniu Cloud through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "qiniu-cloud": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Qiniu Cloud, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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 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.

LangChain's ecosystem of 500+ components combines seamlessly with Qiniu Cloud through native MCP adapters. Connect 11 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

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

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 11 tools from Qiniu Cloud via MCP

Why Use LangChain with the Qiniu Cloud MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine Qiniu Cloud MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Qiniu Cloud queries for multi-turn workflows

Qiniu Cloud + LangChain Use Cases

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

RAG with live data: combine Qiniu Cloud tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Qiniu Cloud, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Qiniu Cloud tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Qiniu Cloud tool call, measure latency, and optimize your agent's performance

Qiniu Cloud MCP Tools for LangChain (11)

These 11 tools become available when you connect Qiniu Cloud to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Qiniu Cloud + LangChain FAQ

Common questions about integrating Qiniu Cloud MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.