JD Cloud / 京东云 MCP Server for LlamaIndex 8 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add JD Cloud / 京东云 as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to JD Cloud / 京东云. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in JD Cloud / 京东云?"
)
print(response)
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.
LlamaIndex agents combine JD Cloud / 京东云 tool responses with indexed documents for comprehensive, grounded answers. Connect 8 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the JD Cloud / 京东云 MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
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 8 tools from JD Cloud / 京东云
Why Use LlamaIndex with the JD Cloud / 京东云 MCP Server
LlamaIndex provides unique advantages when paired with JD Cloud / 京东云 through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine JD Cloud / 京东云 tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain JD Cloud / 京东云 tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query JD Cloud / 京东云, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what JD Cloud / 京东云 tools were called, what data was returned, and how it influenced the final answer
JD Cloud / 京东云 + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the JD Cloud / 京东云 MCP Server delivers measurable value.
Hybrid search: combine JD Cloud / 京东云 real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query JD Cloud / 京东云 to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying JD Cloud / 京东云 for fresh data
Analytical workflows: chain JD Cloud / 京东云 queries with LlamaIndex's data connectors to build multi-source analytical reports
JD Cloud / 京东云 MCP Tools for LlamaIndex (8)
These 8 tools become available when you connect JD Cloud / 京东云 to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting JD Cloud / 京东云 to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpJD Cloud / 京东云 + LlamaIndex FAQ
Common questions about integrating JD Cloud / 京东云 MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect JD Cloud / 京东云 with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
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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 LlamaIndex
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.