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EZO Asset Intelligence 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 EZO Asset Intelligence 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: {
      "ezo-asset-intelligence": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

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

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

main();
EZO Asset Intelligence
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 EZO Asset Intelligence MCP Server

Integrate EZO.io (formerly EZOfficeInventory), the world's most popular asset management platform, directly into your AI workflow. Manage your fixed asset database and physical locations, track consumable inventory and real-time stock levels, monitor active checkouts and reservations, and oversee your entire asset lifecycle using natural language.

Mastra's agent abstraction provides a clean separation between LLM logic and EZO Asset Intelligence 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

  • Asset Oversight — List and retrieve detailed information, identifiers, and maintenance history for all your managed assets.
  • Inventory Intelligence — Monitor consumable inventory items, resolving available quantities and stock thresholds across your organization.
  • Checkout Management — Access and monitor currently checked out assets, identifying assigned members and expected return dates.
  • Asset Auditing — Retrieve high-level summaries of asset volume, location distribution, and organizational resource health instantly.

The EZO Asset Intelligence 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 EZO Asset Intelligence to Mastra AI via MCP

Follow these steps to integrate the EZO Asset Intelligence 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 EZO Asset Intelligence via MCP

Why Use Mastra AI with the EZO Asset Intelligence MCP Server

Mastra AI provides unique advantages when paired with EZO Asset Intelligence through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add EZO Asset Intelligence 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 EZO Asset Intelligence 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

EZO Asset Intelligence + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the EZO Asset Intelligence MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query EZO Asset Intelligence, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed EZO Asset Intelligence 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 EZO Asset Intelligence on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using EZO Asset Intelligence tools alongside other MCP servers

EZO Asset Intelligence MCP Tools for Mastra AI (10)

These 10 tools become available when you connect EZO Asset Intelligence to Mastra AI via MCP:

01

get_asset_detailed_data

Get detailed settings and information for a specific asset

02

get_ezo_account_metadata

Retrieve metadata and limits for your EZO account

03

list_account_members

List all members and users registered in your organization

04

list_asset_locations

List all physical locations and sub-locations configured in your account

05

list_available_assets

Identify assets that are currently available for checkout

06

list_consumable_inventory

List all consumable inventory items and their stock levels

07

list_currently_checked_out_assets

Identify all assets that are currently checked out to members

08

list_managed_assets

g. available, checked out) from the EZO API. List all fixed assets managed in your EZO account

09

list_overdue_checkouts

Identify assets that are past their expected return date (mock logic)

10

quick_asset_volume_audit

Retrieve a high-level summary of assets, inventory, and members

Example Prompts for EZO Asset Intelligence in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with EZO Asset Intelligence immediately.

01

"List all assets currently checked out."

02

"Show me our inventory levels for 'Ethernet Cables'."

03

"Check for overdue asset returns."

Troubleshooting EZO Asset Intelligence MCP Server with Mastra AI

Common issues when connecting EZO Asset Intelligence to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

EZO Asset Intelligence + Mastra AI FAQ

Common questions about integrating EZO Asset Intelligence 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 EZO Asset Intelligence to Mastra AI

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