How to Use the Bird (MessageBird) MCP in Vercel AI SDK

Q: How do I fetch Bird (MessageBird) contacts in Vercel AI SDK?

Use the listcontacts tool within your tool definition array. Once the agent invokes it, the JSON response maps directly to your React components.

Q: Can Vercel AI SDK send Bird (MessageBird) messages?

Yes, pass the sendmessage tool to your streamText function. Ensure your channel ID is configured correctly in the tool call arguments.

Connect Vercel AI SDK to Bird (MessageBird) to stream live customer conversations and message data directly into your frontend UI.

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Connect Bird (MessageBird) MCP to Vercel AI SDK

Create your Vinkius account to connect Bird (MessageBird) 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 Bird (MessageBird) with Vercel AI SDK

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Real-time contact management for Vercel AI SDK

Call `list_contacts` to pull your entire database into your application state. Your front end reacts instantly when you pass these results through the SDK. Use `create_contact` or `update_contact` to modify profiles without leaving your terminal. The data updates on your dashboard as soon as the promise resolves.

Direct messaging through your Vercel AI SDK app

Trigger `send_message` to dispatch SMS or WhatsApp notifications from your Edge Functions. You define the channel ID, and the SDK handles the payload. `list_conversations` lets you fetch active threads to display in your UI. Your users see the message history populate the screen without waiting for a manual refresh.

Voice and message audit for Vercel AI SDK

Query `list_calls` to see exactly who spoke to whom and when. This MCP Server gives your agents the full log of every voice interaction. `get_conversation` fetches specific metadata for deep dives. You get the raw status and ID data needed to build custom support trackers.

Setup guide

Set up Bird (MessageBird) 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 Bird (MessageBird) 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 Bird (MessageBird) 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 Bird. 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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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 Bird (MessageBird) MCP in Vercel AI SDK

Use the `list_contacts` tool within your tool definition array. Once the agent invokes it, the JSON response maps directly to your React components.

Yes, pass the `send_message` tool to your `streamText` function. Ensure your channel ID is configured correctly in the tool call arguments.

It runs fine on the edge. The transport layer handles the connection, and the SDK manages the serialization of your tool inputs.

Install the necessary packages and point your client to the Vinkius endpoint. You just need an auth token to start executing tools.

Your contact names, phone numbers, and message logs stay within the Vinkius sandbox. We use ephemeral sessions that clear the moment your request finishes.

Use it with your favorite AI tools

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