How to Use the Messaggio MCP in Vercel AI SDK

Q: How do I track Messaggio deliveries in AI-SDK?

Use the getmessagestatus tool within your streaming response. It returns the current state of any message ID you pass to it.

Q: Can AI-SDK handle Messaggio bulk sends?

Yes. You can trigger the sendbulk tool from your agent to push large notification sets. Make sure to monitor the job status after initiation.

Q: Are Messaggio templates accessible via AI-SDK?

Absolutely. Call listtemplates to pull available options into your agent's context. This allows the AI to choose the right format for your messaging.

Stream Messaggio alerts directly into your AI-SDK frontends for real-time delivery tracking and status updates.

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…and any MCP-compatible client

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Connect Messaggio MCP to Vercel AI SDK

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

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Real-time message status monitoring

Pipe status updates directly into your UI components using `get_message_status`. Your users see exact delivery states as they happen, right inside the browser. Stop guessing if a notification hit the destination. The server pushes the data from the API through your stream, ensuring your dashboard reflects reality.

Trigger SMS flows with AI-SDK

Initiate communication directly from your edge functions by calling `send_simple_sms`. It cuts out the middleman, letting your agents fire off alerts based on user context. Keep your logic centralized in your server-side code. The tool handles the request payload, leaving you to manage the interaction flow in your frontend.

Manage campaign templates dynamically

Fetch and display current message templates using `list_templates` and `get_template`. You can verify content before firing off bulk campaigns. This gives your interface the ability to render dynamic previews. You'll know exactly what gets sent before it leaves the server.

Setup guide

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

Use the `get_message_status` tool within your streaming response. It returns the current state of any message ID you pass to it.

Yes. You can trigger the `send_bulk` tool from your agent to push large notification sets. Make sure to monitor the job status after initiation.

Absolutely. Call `list_templates` to pull available options into your agent's context. This allows the AI to choose the right format for your messaging.

Most requests complete in under 200ms. The actual time depends on the network path between your edge function and the API host.

Your key stays in your environment variables. The MCP server handles the handshake, ensuring your credentials never leak into the client logs.

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