How to Use the AvoSMS MCP in Vercel AI SDK

Q: How do I send texts with AvoSMS and Vercel AI SDK?

Install @ai-sdk/mcp and set up the client using createMCPClient pointing to your Vinkius endpoint. Pass the tools to streamText and let your agent call sendsms when the user requests a broadcast.

Q: Can I manage sender IDs dynamically using AvoSMS and Vercel AI SDK?

Yes. Your agent can run createsender to request a new ID or list active ones with listsenders directly from an Edge Function.

Q: How does AvoSMS handle contact lists in Vercel AI SDK?

The agent uses listlists to fetch existing groups. From there, it can run addcontact to insert new phone numbers or deletelist to purge old ones based on direct user input.

Q: Do I need to close the MCP connection in my Next.js API routes?

Yes. Always call mcpClient.close() when your execution finishes to prevent socket leaks in serverless MCP environments.

Push AvoSMS text messaging tools directly into React and Next.js frontends using the Vercel AI SDK and this MCP Server.

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Connect AvoSMS MCP to Vercel AI SDK

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

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Live SMS updates via Vercel AI SDK

Checking your SMS credit status with `get_balance` and `get_account_check` happens instantly in your UI without annoying spinners. The Vercel AI SDK streams the raw numbers straight to the browser. Users watch their remaining SMS credits update as they type. You don't write complex polling logic because the Vinkius platform pushes the live state directly into your component state.

Dynamic list management on the edge

Letting your agent run `create_list` and `add_contact` allows users to build marketing lists on the fly. The UI updates live as contacts populate, giving your users instant feedback. If a list setup fails, the UI reflects it immediately. You use `delete_list` to clean up dead databases without blocking the main browser thread.

Two-way conversation feeds

Building a live SMS dashboard requires fetching incoming texts with `list_responses` and replying via `send_sms`. The SDK handles the streaming state so your chat UI updates as replies land. Edge-compatible routes make these messaging loops run fast. You get low latency without managing regional server deployments.

Setup guide

Set up AvoSMS 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 AvoSMS 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 AvoSMS 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 AvoSMS. 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

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

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Common questions about AvoSMS MCP in Vercel AI SDK

Install `@ai-sdk/mcp` and set up the client using `createMCPClient` pointing to your Vinkius endpoint. Pass the tools to `streamText` and let your agent call `send_sms` when the user requests a broadcast.

Yes. Your agent can run `create_sender` to request a new ID or list active ones with `list_senders` directly from an Edge Function.

The agent uses `list_lists` to fetch existing groups. From there, it can run `add_contact` to insert new phone numbers or `delete_list` to purge old ones based on direct user input.

Yes. Always call `mcpClient.close()` when your execution finishes to prevent socket leaks in serverless MCP environments.

Vinkius runs this MCP Server in an isolated V8 sandbox. Your customer phone numbers and SMS API keys are never stored on the client side; they stay safely inside the secure backend environment.

Use it with your favorite AI tools

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