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Bird (MessageBird) MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Bird (MessageBird) through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using Bird (MessageBird), list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Bird (MessageBird)
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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Bird (MessageBird) MCP Server

Connect Bird (formerly MessageBird) to your AI agents to orchestrate omnichannel communication through simple natural language.

The Vercel AI SDK gives every Bird (MessageBird) tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

What you can do

  • Unified Conversations — List, read, and manage conversation threads across multiple channels (SMS, WhatsApp, Email) in a single view.
  • Direct Messaging — Send messages instantly to any customer identifier using your registered Bird channels.
  • CRM & Contacts — Create and update customer profiles, managing identifiers and metadata to maintain a clean communication record.
  • Voice Audit — List and inspect voice call history and statuses directly from the AI.

The Bird (MessageBird) MCP Server exposes 10 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Bird (MessageBird) to Vercel AI SDK via MCP

Follow these steps to integrate the Bird (MessageBird) MCP Server with Vercel AI SDK.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the script

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

The SDK discovers 10 tools from Bird (MessageBird) and passes them to the LLM

Why Use Vercel AI SDK with the Bird (MessageBird) MCP Server

Vercel AI SDK provides unique advantages when paired with Bird (MessageBird) through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Bird (MessageBird) integration everywhere

03

Built-in streaming UI primitives let you display Bird (MessageBird) tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Bird (MessageBird) + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Bird (MessageBird) MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Bird (MessageBird) in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Bird (MessageBird) tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Bird (MessageBird) capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Bird (MessageBird) through natural language queries

Bird (MessageBird) MCP Tools for Vercel AI SDK (10)

These 10 tools become available when you connect Bird (MessageBird) to Vercel AI SDK via MCP:

01

create_contact

Identifiers should be a JSON string, e.g., '[{"key":"phone","value":"+123"}]'. Create a new contact profile in the Bird workspace

02

get_call

Fetch the details of a single voice call

03

get_contact

Retrieve detailed information about a specific contact profile

04

get_conversation

Fetch the detailed metadata and status of a single conversation by its unique ID

05

list_calls

List all voice calls made or received in the workspace

06

list_contacts

List all customer contact profiles stored in the workspace

07

list_conversations

Retrieve a list of all ongoing or archived conversations in the Bird workspace

08

list_messages

List all individual messages within a specific conversation thread

09

send_message

You must provide a valid channelId (e.g., for SMS or WhatsApp). Send a new message to a recipient through a specific communication channel (SMS, WhatsApp, etc.)

10

update_contact

Data should be a JSON string, e.g., '{"displayName":"New Name"}'. Update the metadata or identifiers of an existing contact

Example Prompts for Bird (MessageBird) in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Bird (MessageBird) immediately.

01

"List all my active conversations on Bird."

02

"Send a WhatsApp message to +123456789 saying 'Your order is ready!'."

03

"Show me the last 5 voice calls in my workspace."

Troubleshooting Bird (MessageBird) MCP Server with Vercel AI SDK

Common issues when connecting Bird (MessageBird) to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Bird (MessageBird) + Vercel AI SDK FAQ

Common questions about integrating Bird (MessageBird) MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

Connect Bird (MessageBird) to Vercel AI SDK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.