JD Cloud / 京东云 MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect JD Cloud / 京东云 through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using JD Cloud / 京东云, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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.
The Vercel AI SDK gives every JD Cloud / 京东云 tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI SDK 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 Vercel AI SDK via MCP
Follow these steps to integrate the JD Cloud / 京东云 MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 8 tools from JD Cloud / 京东云 and passes them to the LLM
Why Use Vercel AI SDK with the JD Cloud / 京东云 MCP Server
Vercel AI SDK provides unique advantages when paired with JD Cloud / 京东云 through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same JD Cloud / 京东云 integration everywhere
Built-in streaming UI primitives let you display JD Cloud / 京东云 tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
JD Cloud / 京东云 + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the JD Cloud / 京东云 MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query JD Cloud / 京东云 in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate JD Cloud / 京东云 tools and return structured JSON responses to any frontend
Chatbots with tool use: embed JD Cloud / 京东云 capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with JD Cloud / 京东云 through natural language queries
JD Cloud / 京东云 MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect JD Cloud / 京东云 to Vercel AI SDK 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK 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 Vercel AI SDK
Common issues when connecting JD Cloud / 京东云 to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpJD Cloud / 京东云 + Vercel AI SDK FAQ
Common questions about integrating JD Cloud / 京东云 MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.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 Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.