JD Cloud / 京东云 MCP Server for LangChain 8 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect JD Cloud / 京东云 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({
"jd-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 JD Cloud / 京东云, 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 JD Cloud / 京东云 MCP Server
Empower your AI agent to orchestrate your cloud infrastructure and supply chain assets with JD Cloud (京东云), the premier cloud service provider by JD.com. By connecting JD Cloud to your agent, you transform complex virtual machine management, storage bucket auditing, and billing analysis into a natural conversation. Your agent can instantly retrieve VM instance details, list Object Storage Service (OSS) buckets, audit VPC networks, and retrieve comprehensive billing summaries without you ever needing to navigate the comprehensive JD Cloud Console. Whether you are managing e-commerce backend resources or coordinating high-volume digital distribution, your agent acts as a real-time cloud operations assistant, providing accurate results from a single, authorized source.
LangChain's ecosystem of 500+ components combines seamlessly with JD Cloud / 京东云 through native MCP adapters. Connect 8 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
- Compute Orchestration — List virtual machines, retrieve detailed instance metadata, and monitor operational status.
- Storage Auditing — List Object Storage Service (OSS) buckets and manage cloud disk resources across regions.
- Network Management — Retrieve details for Virtual Private Clouds (VPC) and coordinate network topology audits.
- Financial Auditing — Retrieve comprehensive billing summaries for specific time ranges to maintain cost control.
- Operational Monitoring — Verify project connectivity, active regions, and retrieve IAM account profile details.
The JD Cloud / 京东云 MCP Server exposes 8 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 JD Cloud / 京东云 to LangChain via MCP
Follow these steps to integrate the JD Cloud / 京东云 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 8 tools from JD Cloud / 京东云 via MCP
Why Use LangChain with the JD Cloud / 京东云 MCP Server
LangChain provides unique advantages when paired with JD Cloud / 京东云 through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine JD Cloud / 京东云 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 JD Cloud / 京东云 queries for multi-turn workflows
JD Cloud / 京东云 + LangChain Use Cases
Practical scenarios where LangChain combined with the JD Cloud / 京东云 MCP Server delivers measurable value.
RAG with live data: combine JD Cloud / 京东云 tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query JD Cloud / 京东云, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain JD Cloud / 京东云 tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every JD Cloud / 京东云 tool call, measure latency, and optimize your agent's performance
JD Cloud / 京东云 MCP Tools for LangChain (8)
These 8 tools become available when you connect JD Cloud / 京东云 to LangChain via MCP:
get_account_profile
Get IAM user info
get_billing_summary
Get billing overview
get_vm_detail
Get VM metadata
list_cicd_pipelines
List DevOps pipelines
list_cloud_disks
List block storage disks
list_oss_buckets
List storage buckets
list_vm_instances
List virtual machines
list_vpc_networks
List VPC networks
Example Prompts for JD Cloud / 京东云 in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with JD Cloud / 京东云 immediately.
"List all my running virtual machines in region 'cn-north-1'."
"Check our JD Cloud billing summary from October 1st to October 15th."
"Show me the list of Object Storage (OSS) buckets in my account."
Troubleshooting JD Cloud / 京东云 MCP Server with LangChain
Common issues when connecting JD Cloud / 京东云 to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersJD Cloud / 京东云 + LangChain FAQ
Common questions about integrating JD Cloud / 京东云 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 JD Cloud / 京东云 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 JD Cloud / 京东云 to LangChain
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.