How to Use the Texter MCP in Vercel AI SDK

Q: How do I check active chats using Texter with ai-sdk?

You call listtexterchats to get a list of all active conversations. Your AI client streams this data, allowing you to populate a sidebar component immediately in your web app.

Q: What kind of messages can I send using Texter with ai-sdk?

You can use sendtextermessage for standard SMS drip campaigns or sendtextertemplate if you need a more formal WhatsApp/Messenger template look.

Q: Can I manage chat labels with Texter when using ai-sdk?

Yes, you can use addlabeltotexterchat to assign a specific label. This action completes and reports back instantly, letting your UI update the record.

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Connect Texter MCP to Vercel AI SDK

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

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Real-time Message Sending

The `send_texter_message` tool lets you fire off texts right into the conversation. Because we support streaming, your client sees the message appear in the UI as it's sent—no loading spinner needed. You can build a messaging component that updates live when your agent sends an automated drip campaign.

Managing Chat Context

Need to know what happened before? Use `list_texter_messages` or `get_texter_chat_details` to pull the entire chat history. This data streams directly into your frontend, letting users see every interaction. It's great for building customer service dashboards that show agents the full context of a lead’s journey.

Handling Template Responses

For structured messages like account updates or confirmations, `send_texter_template` handles it. This tool sends WhatsApp or Messenger templates and streams the confirmation back to your application. You don't just get a 'success' message; you stream proof that the template was successfully delivered.

Setup guide

Set up Texter 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 Texter 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 Texter transactions",
});

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

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

You call `list_texter_chats` to get a list of all active conversations. Your AI client streams this data, allowing you to populate a sidebar component immediately in your web app.

You can use `send_texter_message` for standard SMS drip campaigns or `send_texter_template` if you need a more formal WhatsApp/Messenger template look.

The server handles the communication via its MCP endpoint. The specific text messages and details are retrieved using tools like `list_texter_messages` or `get_texter_chat_details`, which stream back to your client.

Yes, you can use `add_label_to_texter_chat` to assign a specific label. This action completes and reports back instantly, letting your UI update the record.

This server handles text messages (SMS/WhatsApp content), chat IDs, and user labels. Be mindful of transmitting PII when using message sending tools.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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