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How to Use the Chuanglan 253 / 创蓝 MCP in Vercel AI SDK

Stream global SMS delivery and Chinese KYC checks straight into your Next.js frontend using Vercel AI SDK.

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Works with every AI agent you already use

…and any MCP-compatible client

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Vercel AI SDK

Connect Chuanglan 253 / 创蓝 MCP to Vercel AI SDK

Create your Vinkius account to connect Chuanglan 253 / 创蓝 to Vercel AI SDK 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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Build live KYC flows with this MCP Server

The `verify_identity` and `verify_phone` tools let your agent validate Chinese national IDs and mobile owners on the fly. You pass the user input directly from your React component into the AI client. The agent checks the credentials against Chuanglan's database and streams the validation status back to the browser. Waiting for backend verification kills conversion rates. Vercel AI SDK pipes the result into your UI instantly. A user types their details, and the green checkmark appears before they even blink.

Stream SMS dispatch statuses

Calling `send_sms` fires off text messages directly from your edge functions. Your agent can draft a notification based on user context and push it out via the Chuanglan network. It handles standard texts alongside `send_variable_sms` for batch jobs with dynamic fields. Real-time feedback matters when you blast out alerts. You can trigger `query_sms_status` right after sending to track delivery. The frontend renders the sent, pending, or failed states as they happen.

Monitor account limits live

The `get_balance` tool pulls your current Chuanglan credit limits straight into your admin dashboard. Your AI client reads the remaining quota and alerts you if funds dip below a safe threshold. We also hooked up `flash_check` for one-click login validation. Running out of credits mid-campaign is a disaster. Piping this data through your Next.js app means your ops team always sees the real number. You never have to log into a separate portal just to check your balance.

Setup guide

Set up Chuanglan 253 / 创蓝 MCP in Vercel AI SDK

Prerequisites

  • Node.js 18+ and a TypeScript project
  • ai + @modelcontextprotocol/sdk packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 2

    Create the Streamable HTTP transport

    Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Discover and use tools

    Call mcpClient.tools() to auto-discover all Chuanglan 253 / 创蓝 tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.

  4. 4

    Works with any model provider

    Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts
import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Chuanglan 253 / 创蓝 transactions",
});

console.log(text);
await mcpClient.close();

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Chuanglan 253 / 创蓝. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Chuanglan 253 / 创蓝 MCP in Vercel AI SDK

Install the @ai-sdk/mcp package. Call createMCPClient with your Vinkius HTTP endpoint. Pass the tools into streamText to let your agent handle SMS tasks.
Yes. Your agent can run pull_sms_reports and pipe the delivery data straight to your React frontend. Users see exactly which messages landed and which bounced without refreshing the page.
The MCP integration plays perfectly with Edge environments. You just need to ensure you call mcpClient.close() when the stream finishes.
The AI client catches the failure from the tool response. You can program your agent to render a fallback UI component immediately. The user knows right away if their code didn't send.
Vinkius routes your payload through an ephemeral V8 Isolate Sandbox. When your agent runs a phone verification or sends an international text, the numbers and ID strings pass straight to Chuanglan's API. We discard the memory the second the request finishes.

Start using the Chuanglan 253 / 创蓝 MCP today

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Built & Managed by Vinkius 30s setup 9 tools

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