JD Cloud Infrastructure MCP Server for Mastra AI 11 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect JD Cloud Infrastructure through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"jd-cloud-infrastructure": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "JD Cloud Infrastructure Agent",
instructions:
"You help users interact with JD Cloud Infrastructure " +
"using 11 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with JD Cloud Infrastructure?"
);
console.log(result.text);
}
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 Infrastructure MCP Server
Connect your AI agents directly to JD Cloud (京东云), the enterprise cloud infrastructure backing one of the world's largest e-commerce and supply chain platforms. This MCP provides 11 power tools spanning the full infrastructure lifecycle.
Mastra's agent abstraction provides a clean separation between LLM logic and JD Cloud Infrastructure tool infrastructure. Connect 11 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
What you can do
- VM Lifecycle Management — List, inspect, start, stop, and reboot virtual machines through natural language
- Storage Operations — Enumerate and inspect cloud disks and Object Storage buckets
- Network Oversight — Query Elastic IP allocations and their association status
- Database Administration — List RDS instances with engine versions and connection status
- Performance Monitoring — Pull time-series CPU, network, and disk metrics for any resource
The JD Cloud Infrastructure MCP Server exposes 11 tools through the Vinkius. Connect it to Mastra AI 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 Infrastructure to Mastra AI via MCP
Follow these steps to integrate the JD Cloud Infrastructure MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 11 tools from JD Cloud Infrastructure via MCP
Why Use Mastra AI with the JD Cloud Infrastructure MCP Server
Mastra AI provides unique advantages when paired with JD Cloud Infrastructure through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add JD Cloud Infrastructure without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every JD Cloud Infrastructure tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
JD Cloud Infrastructure + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the JD Cloud Infrastructure MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query JD Cloud Infrastructure, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed JD Cloud Infrastructure as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query JD Cloud Infrastructure on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using JD Cloud Infrastructure tools alongside other MCP servers
JD Cloud Infrastructure MCP Tools for Mastra AI (11)
These 11 tools become available when you connect JD Cloud Infrastructure to Mastra AI via MCP:
describe_cloud_disk
Get detailed information about a specific cloud disk
describe_metric_data
Query monitoring metric data for a cloud resource
describe_vm_instance
Get detailed information about a specific VM instance
list_cloud_disks
List all cloud disk volumes in your region
list_elastic_ips
List all Elastic IP addresses in your region
list_oss_buckets
List all Object Storage Service buckets
list_rds_instances
List all RDS database instances in your region
list_vm_instances
List all virtual machine instances in your JD Cloud region
reboot_vm_instance
Reboot a VM instance
start_vm_instance
Start a stopped VM instance
stop_vm_instance
Stop a running VM instance
Example Prompts for JD Cloud Infrastructure in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with JD Cloud Infrastructure immediately.
"List all my running virtual machines on JD Cloud."
"Show me the CPU usage for instance i-abc123 over the last hour."
Troubleshooting JD Cloud Infrastructure MCP Server with Mastra AI
Common issues when connecting JD Cloud Infrastructure to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpJD Cloud Infrastructure + Mastra AI FAQ
Common questions about integrating JD Cloud Infrastructure MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect JD Cloud Infrastructure 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 Infrastructure to Mastra AI
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.