EZO Asset Intelligence MCP Server for Mastra AI 10 tools — connect in under 2 minutes
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.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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();
* 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.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
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.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add EZO Asset Intelligence without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every EZO Asset Intelligence tool response with IDE autocomplete and compile-time checks
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.
Automated workflows: build multi-step agents that query EZO Asset Intelligence, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed EZO Asset Intelligence as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query EZO Asset Intelligence on a cron and store results in your database automatically
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:
get_asset_detailed_data
Get detailed settings and information for a specific asset
get_ezo_account_metadata
Retrieve metadata and limits for your EZO account
list_account_members
List all members and users registered in your organization
list_asset_locations
List all physical locations and sub-locations configured in your account
list_available_assets
Identify assets that are currently available for checkout
list_consumable_inventory
List all consumable inventory items and their stock levels
list_currently_checked_out_assets
Identify all assets that are currently checked out to members
list_managed_assets
g. available, checked out) from the EZO API. List all fixed assets managed in your EZO account
list_overdue_checkouts
Identify assets that are past their expected return date (mock logic)
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.
"List all assets currently checked out."
"Show me our inventory levels for 'Ethernet Cables'."
"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.
createMCPClient not exported
npm install @mastra/mcpEZO Asset Intelligence + Mastra AI FAQ
Common questions about integrating EZO Asset Intelligence MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect EZO Asset Intelligence with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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.
