How to Use the BulkSMS MCP in Vercel AI SDK

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

Install @ai-sdk/mcp and run createMCPClient with your Vinkius HTTP URL. Pass the tools from mcpClient.tools() into streamText or generateText to let your agent start sending messages.

Q: Can Vercel AI SDK handle bulk text failures with BulkSMS?

Yes, when the AI calls sendbulksms, the tool returns immediate dispatch logs. Your agent inspects this payload to identify failed numbers and can retry sending using sendsms for those specific recipients.

Q: How do I manage BulkSMS contact groups in Vercel AI SDK?

The agent uses listgroups and listgroupmembers to read your existing contact databases. You can ask the AI to find specific cohorts and then queue up a message for them in a single conversational turn.

Let your Vercel AI SDK application send texts and manage contact groups in real time without loading spinners.

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Connect BulkSMS MCP to Vercel AI SDK

Create your Vinkius account to connect BulkSMS 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 BulkSMS with Vercel AI SDK

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Stream text delivery updates to your Vercel AI SDK UI

The `get_message` and `list_messages` tools let your AI client fetch live SMS statuses and feed them directly to your frontend. Instead of waiting for a full API response, the Vercel AI SDK streams the status updates as they come in, showing users exactly when a message hits a cell phone. You configure the client using `createMCPClient` and pass the tools directly into `streamText`. This keeps your React or Next.js UI snappy because the AI handles the BulkSMS API calls in the background and renders the state changes immediately.

Check BulkSMS account balances dynamically

The `get_profile` and `get_account_info` tools give your application instant access to your remaining SMS credits and account configurations. Your agent can run these checks right before launching a large batch of texts to ensure you have enough balance. By feeding these tools into the Vercel AI SDK, you can build a dashboard that displays current credit levels without writing custom API polling code. The MCP Server gets the data, formats it, and streams it straight to the user's screen.

Send bulk campaigns via this MCP Server

The `send_bulk_sms` and `send_sms` tools execute text delivery to single numbers or massive lists directly from your AI agent. Users just type their message in your chat interface, and the AI handles the payload formatting and execution. Because this MCP Server runs in Vinkius's secure sandbox, your API keys stay hidden from the browser while the Vercel AI SDK coordinates the tool calls. You get safe, direct SMS dispatching without spinning up dedicated backend routes.

Setup guide

Set up BulkSMS 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 BulkSMS 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 BulkSMS 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 BulkSMS. 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 BulkSMS MCP in Vercel AI SDK

Install `@ai-sdk/mcp` and run `createMCPClient` with your Vinkius HTTP URL. Pass the tools from `mcpClient.tools()` into `streamText` or `generateText` to let your agent start sending messages.

Yes, when the AI calls `send_bulk_sms`, the tool returns immediate dispatch logs. Your agent inspects this payload to identify failed numbers and can retry sending using `send_sms` for those specific recipients.

The agent uses `list_groups` and `list_group_members` to read your existing contact databases. You can ask the AI to find specific cohorts and then queue up a message for them in a single conversational turn.

Yes, this MCP Server runs on Vinkius's high-speed infrastructure. The Vercel AI SDK transport is fully compatible with Edge runtimes, keeping your text-sending functions fast and lightweight.

Your recipient phone numbers and SMS message bodies are processed inside ephemeral V8 Isolate sandboxes. This MCP setup never stores your message logs or contact lists, acting only as a zero-trust pass-through to BulkSMS.com.

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