How to Use the iZooto MCP in Mastra AI

Q: Can Mastra AI agents use iZooto for targeted pushes?

Agents use sendsegmentpush to reach specific users. You define the logic, and the agent executes the delivery.

Q: Does iZooto provide subscriber counts to Mastra AI?

Use getsubscribercount to fetch your total reach. Your agents use this data to decide if a campaign should proceed.

Build automated notification workflows in Mastra AI using the iZooto MCP Server.

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…and any MCP-compatible client

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Connect iZooto MCP to Mastra AI

Create your Vinkius account to connect iZooto to Mastra AI 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 iZooto with Mastra AI

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Automated push campaigns for Mastra AI

Create agent-driven workflows that trigger alerts. Your agents use `send_push` to broadcast updates whenever your business logic demands it. This MCP Server handles the delivery execution. If a process fails, you can build retry logic into your Mastra agent flow.

Audience management for Mastra AI

Your agents maintain your subscriber base automatically. Use `list_audiences` to inspect who receives your content. When you need to update targeting, call `create_segment` from your workflow. The server updates your audience lists in real-time.

Monitor campaign health in Mastra AI

Build agents that watch your notification performance. Use `get_stats` to pull data and trigger follow-up actions if engagement drops. Your agents can also call `list_notifications` to audit what's been sent. This keeps your communication logs accurate.

Setup guide

Set up iZooto MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All iZooto tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

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

const mcpClient = new MCPClient({
  id: "izooto-mcp-client",
  servers: {
    "izooto-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "iZooto Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to iZooto tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent iZooto transactions"
);
console.log(result.text);

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Common questions about iZooto MCP in Mastra AI

Install the MCP client package and add the server URL to your agent configuration. You then spread the tools into your agent's toolset.

Agents use `send_segment_push` to reach specific users. You define the logic, and the agent executes the delivery.

Use `get_subscriber_count` to fetch your total reach. Your agents use this data to decide if a campaign should proceed.

You can wrap your tool calls in try-catch blocks within your agent flow. The MCP Server returns specific error codes if a request fails.

The server exposes notification logs, subscriber totals, and segment definitions. It does not access your internal user database.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

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