UPYUN Developer Platform MCP Server for LangChain 5 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect UPYUN Developer Platform through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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({
"upyun-developer-platform": {
"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 UPYUN Developer Platform, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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 UPYUN Developer Platform MCP Server
Integrate your AI with UPYUN (又拍云), one of the most prominent Cloud and CDN providers in the world. This MCP gives your agent direct file management access to your cloud buckets.
LangChain's ecosystem of 500+ components combines seamlessly with UPYUN Developer Platform through native MCP adapters. Connect 5 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
- Cloud Storage Management — Automatically create, view, list, and delete files inside your UPYUN buckets without downloading their manual command line clients
- CDN Artifact Uploads — Enable the LLM to directly write code logic or textual artifacts and deploy them live to your CDN domains instantly
- Capacity Auditing — Fetch storage usage to monitor consumption on your buckets dynamically
The UPYUN Developer Platform MCP Server exposes 5 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 UPYUN Developer Platform to LangChain via MCP
Follow these steps to integrate the UPYUN Developer Platform 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 5 tools from UPYUN Developer Platform via MCP
Why Use LangChain with the UPYUN Developer Platform MCP Server
LangChain provides unique advantages when paired with UPYUN Developer Platform through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine UPYUN Developer Platform 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 UPYUN Developer Platform queries for multi-turn workflows
UPYUN Developer Platform + LangChain Use Cases
Practical scenarios where LangChain combined with the UPYUN Developer Platform MCP Server delivers measurable value.
RAG with live data: combine UPYUN Developer Platform tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query UPYUN Developer Platform, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain UPYUN Developer Platform tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every UPYUN Developer Platform tool call, measure latency, and optimize your agent's performance
UPYUN Developer Platform MCP Tools for LangChain (5)
These 5 tools become available when you connect UPYUN Developer Platform to LangChain via MCP:
create_text_file
Create and upload a text file directly to UPYUN
delete_file
Delete a file from UPYUN
get_file_info
Get metadata about an UPYUN file
get_service_usage
Get UPYUN bucket service usage
list_directory
g., "/" or "/images/") to list its contents. List files and folders in an UPYUN directory
Example Prompts for UPYUN Developer Platform in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with UPYUN Developer Platform immediately.
"List all files present in the root `/` directory of my Upyun bucket."
"Create a new text file at `/hello.txt` with the content 'Hello from MCP'."
Troubleshooting UPYUN Developer Platform MCP Server with LangChain
Common issues when connecting UPYUN Developer Platform to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersUPYUN Developer Platform + LangChain FAQ
Common questions about integrating UPYUN Developer Platform MCP Server with LangChain.
How does LangChain connect to MCP servers?
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?
Can I trace MCP tool calls in LangSmith?
Connect UPYUN Developer Platform 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 UPYUN Developer Platform to LangChain
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.