How to Use the JD Cloud / 京东云 MCP in LlamaIndex

Q: Can LlamaIndex query my JD Cloud / 京东云 billing history?

Yes, just enable the getbillingsummary tool. The agent will pull the data and add it to your knowledge base for future queries.

Index your JD Cloud / 京东云 metadata for RAG pipelines within LlamaIndex.

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Connect JD Cloud / 京东云 MCP to LlamaIndex

Create your Vinkius account to connect JD Cloud / 京东云 to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup JD Cloud / 京东云 with LlamaIndex

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Ground your AI with JD Cloud / 京东云 data

Turn the output of `list_oss_buckets` and `list_cloud_disks` into a searchable knowledge base. LlamaIndex indexes these results so your agent can query them later. Stop guessing about your storage state. Your agent can now answer questions based on the actual data pulled from your buckets.

Build RAG apps with LlamaIndex and MCP

Combine live API data with your existing documents. By using the tool spec, you can feed real-time infrastructure status into your retrieval pipeline. This creates a unified index that understands both your documentation and your live cloud environment. It’s a better way to build context-aware systems.

Filter tools for LlamaIndex safety

Control exactly which tools your agent can access. Use the built-in filter to restrict the agent to read-only operations like `get_billing_summary`. It’s a simple way to enforce least-privilege access. You define the boundaries, and the agent stays within them.

Setup guide

Set up JD Cloud / 京东云 MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all JD Cloud / 京东云 MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to JD Cloud / 京东云 tools.",
)
response = await agent.run("List recent JD Cloud / 京东云 data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by JD Cloud / 京东云. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about JD Cloud / 京东云 MCP in LlamaIndex

Use the tool spec to fetch the data. Once the MCP client retrieves the results, LlamaIndex handles the vectorization automatically.

Yes, just enable the `get_billing_summary` tool. The agent will pull the data and add it to your knowledge base for future queries.

Your data is scoped to your local index. We don't share your metadata, and the server runs in a secure, ephemeral container.

It integrates directly. You pass the tools to the agent, and it behaves just like any other data source in your graph.

Only the metadata you choose to index, such as VM names or storage bucket lists. We don't touch your actual application data or files.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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