How to Use the Ezus MCP in Mastra AI

Build resilient travel workflows in Mastra AI by connecting your Ezus records to automated agents.

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Connect Ezus MCP to Mastra AI

Create your Vinkius account to connect Ezus 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 Ezus with Mastra AI

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Automated Ezus workflows in Mastra AI

Construct multi-step processes like automated booking confirmations. Use `get_supplier` to pull contact info and `upsert_project` to finalize the record. If a step fails, Mastra AI handles the retry logic automatically. It keeps your operations moving even if an API call hits a temporary snag.

Mastra AI conditional logic for Ezus

Branch your agent's behavior based on live data. If `get_invoice` returns an unpaid status, route the workflow to a payment reminder agent. This keeps your team focused on high-value tasks. The agent handles the routine follow-up logic based on actual account states.

Human-in-the-loop with Ezus and Mastra AI

Require manual approval before executing write operations like `upsert_project`. This protects your Ezus database from accidental changes. Your agents propose the update, and you hit the button to confirm. It balances high-speed automation with necessary human oversight.

Setup guide

Set up Ezus 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 Ezus 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: "ezus-mcp-client",
  servers: {
    "ezus-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

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Why Choose Vinkius

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Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Ezus MCP in Mastra AI

Absolutely. Use the requireToolApproval setting to force a human check before any write command is sent to your records.

Yes. The framework includes built-in retry logic with exponential backoff. It ensures your agent doesn't give up on a transient API error.

Register the server in your Mastra config and spread the tools into your agent definition. It detects the transport automatically.

You can chain any of the 12 tools. Use the workflow engine to define the exact sequence of data lookups and updates.

Your client names, contact details, and financial invoices stay within your secured Vinkius sandbox. Only your authorized agents can trigger queries against these records.

Use it with your favorite AI tools

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