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

Built by Vinkius GDPR 10 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Bird (MessageBird) through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

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

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Bird (MessageBird) Agent",
    instructions:
      "You help users interact with Bird (MessageBird) " +
      "using 10 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Bird (MessageBird)?"
  );
  console.log(result.text);
}

main();
Bird (MessageBird)
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

Mastra's agent abstraction provides a clean separation between LLM logic and Bird (MessageBird) tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

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 Mastra AI 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 Mastra AI via MCP

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

01

Install dependencies

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

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

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

04

Explore tools

Mastra discovers 10 tools from Bird (MessageBird) via MCP

Why Use Mastra AI with the Bird (MessageBird) MCP Server

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

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Bird (MessageBird) without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Bird (MessageBird) tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Bird (MessageBird) + Mastra AI Use Cases

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

01

Automated workflows: build multi-step agents that query Bird (MessageBird), process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Bird (MessageBird) as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Bird (MessageBird) on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Bird (MessageBird) tools alongside other MCP servers

Bird (MessageBird) MCP Tools for Mastra AI (10)

These 10 tools become available when you connect Bird (MessageBird) to Mastra AI 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 Mastra AI

Ready-to-use prompts you can give your Mastra AI 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 Mastra AI

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

01

createMCPClient not exported

Install: npm install @mastra/mcp

Bird (MessageBird) + Mastra AI FAQ

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

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect Bird (MessageBird) to Mastra AI

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