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Cloopen / 容联云 MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Cloopen / 容联云 through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

typescript
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 Cloopen / 容联云, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
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About Cloopen / 容联云 MCP Server

Empower your AI agent to orchestrate your cloud communication with Cloopen (容联云), the premier CPaaS provider in China. By connecting Cloopen to your agent, you transform complex SMS campaigns, voice verification, and communication application management into a natural conversation. Your agent can instantly send template-based SMS, initiate voice verification calls, monitor delivery status, and retrieve account information without you ever needing to navigate the comprehensive Cloopen portal. Whether you are automating user verification or coordinating large-scale notifications, your agent acts as a real-time communication assistant, keeping your messages accurate and your delivery reliable.

The Vercel AI SDK gives every Cloopen / 容联云 tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 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

  • SMS Orchestration — Send template-based SMS and retrieve real-time delivery status for verification and notifications.
  • Voice Verification — Initiate automated voice calls to deliver verification codes or critical notifications.
  • Application Management — List and retrieve detailed information about your communication applications and IVR configs.
  • Account Auditing — Retrieve high-level account information and monitor your resource usage.
  • Template Control — Browse approved SMS templates to ensure consistent messaging across your organization.

The Cloopen / 容联云 MCP Server exposes 10 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 Cloopen / 容联云 to Vercel AI SDK via MCP

Follow these steps to integrate the Cloopen / 容联云 MCP Server with Vercel AI SDK.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the script

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

The SDK discovers 10 tools from Cloopen / 容联云 and passes them to the LLM

Why Use Vercel AI SDK with the Cloopen / 容联云 MCP Server

Vercel AI SDK provides unique advantages when paired with Cloopen / 容联云 through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Cloopen / 容联云 integration everywhere

03

Built-in streaming UI primitives let you display Cloopen / 容联云 tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Cloopen / 容联云 + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Cloopen / 容联云 MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Cloopen / 容联云 in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Cloopen / 容联云 tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Cloopen / 容联云 capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Cloopen / 容联云 through natural language queries

Cloopen / 容联云 MCP Tools for Vercel AI SDK (10)

These 10 tools become available when you connect Cloopen / 容联云 to Vercel AI SDK via MCP:

01

get_account_info

Get account information

02

get_app

Get application details

03

get_ivr

Get IVR configuration

04

list_apps

List applications

05

list_callback

Initiate double-call callback

06

list_landing_calls

Initiate landing call

07

list_templates

List SMS templates

08

list_voice_codes

Send voice verification code

09

query_sms

Query SMS status

10

send_sms

Send template SMS

Example Prompts for Cloopen / 容联云 in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Cloopen / 容联云 immediately.

01

"Send a verification code '1234' to '13800000000' using template '1'."

02

"Check my current account balance and info on Cloopen."

03

"List all my approved SMS templates."

Troubleshooting Cloopen / 容联云 MCP Server with Vercel AI SDK

Common issues when connecting Cloopen / 容联云 to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Cloopen / 容联云 + Vercel AI SDK FAQ

Common questions about integrating Cloopen / 容联云 MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

Connect Cloopen / 容联云 to Vercel AI SDK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.