How to Use the Clickatell MCP in Vercel AI SDK

Q: How do I connect the Clickatell MCP Server to my Vercel AI SDK project?

Install @ai-sdk/mcp and call createMCPClient using the Vinkius HTTP transport URL for this MCP Server. Pass the tools directly into streamText to let your model send messages and check balances.

Q: How does Vercel AI SDK handle Clickatell template variables?

Your model uses listwhatsapptemplates to read the required parameters, fills them in based on user input, and executes sendwhatsapp to dispatch the formatted message.

Q: What happens if a bulk Clickatell dispatch fails in AI SDK?

The sendbulkmessages tool returns an array of message IDs. Your AI SDK application reads this response to show users which specific phone numbers failed to receive the text.

Build live-streaming React interfaces that trigger Clickatell SMS and WhatsApp campaigns directly from your AI SDK app.

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Connect Clickatell MCP to Vercel AI SDK

Create your Vinkius account to connect Clickatell 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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Setup Clickatell with Vercel AI SDK

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Stream live Clickatell SMS updates to your AI SDK frontend

The `send_sms` tool lets your AI SDK app send texts globally while showing the transmission state to the user in real time. Your LLM calls this tool to send SMS alerts, and because Vercel AI SDK streams the tool call progress, your users see the status change instantly on their screens. You also get the `get_message_status` tool to track whether the carrier delivered the text. Instead of waiting for a background webhook to resolve, your frontend updates the UI state immediately as the API returns the delivery receipt.

Manage WhatsApp templates on the fly with Vercel AI SDK

The `list_whatsapp_templates` tool lets your AI client fetch approved business templates and inject them directly into your Next.js chat interface. This means your agent can suggest pre-approved WhatsApp layouts to your support staff right when they are drafting customer replies. When a template becomes stale or needs replacement, the `delete_whatsapp_template` tool removes it directly through the active connection. Your React components update the template list on the fly without requiring a manual page refresh.

Audit communication costs using this Clickatell MCP Server

The `get_account_balance` tool pulls your current Clickatell credit balance directly into your AI SDK streaming context. If your agent sees that credits are running low, it'll warn the user in the chat box before attempting to send more outbound messages. By calling `get_account_info`, your AI client verifies the account tier and active channels before initiating bulk campaigns. This prevents runtime errors in your Edge Functions by ensuring you only send messages through configured, active pipelines.

Setup guide

Set up Clickatell 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

Install dependencies

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

Discover and use tools

Call mcpClient.tools() to auto-discover all Clickatell tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
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 Clickatell transactions",
});

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Clickatell. 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 Clickatell MCP in Vercel AI SDK

Install `@ai-sdk/mcp` and call `createMCPClient` using the Vinkius HTTP transport URL for this MCP Server. Pass the tools directly into `streamText` to let your model send messages and check balances.

Yes, the Vinkius MCP endpoint runs over standard HTTP, making it fully compatible with Vercel's Edge runtime. Your model can call `send_whatsapp` or `send_sms` with minimal latency.

Your model uses `list_whatsapp_templates` to read the required parameters, fills them in based on user input, and executes `send_whatsapp` to dispatch the formatted message.

The `send_bulk_messages` tool returns an array of message IDs. Your AI SDK application reads this response to show users which specific phone numbers failed to receive the text.

Yes. Vinkius handles the Clickatell authentication tokens in a zero-trust MCP environment, so your frontend code never exposes raw API credentials to the end user's browser.

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