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ItemPath 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 ItemPath 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: {
      "itempath": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

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

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

main();
ItemPath
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* 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 ItemPath MCP Server

Empower your AI agents to manage your warehouse and inventory with ItemPath. This MCP server allows you to list materials, retrieve order details, track inventory transactions, and view storage locations directly through the ItemPath API. Ideal for automating supply chain operations and stock monitoring.

Mastra's agent abstraction provides a clean separation between LLM logic and ItemPath 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.

The ItemPath 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 ItemPath to Mastra AI via MCP

Follow these steps to integrate the ItemPath 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 ItemPath via MCP

Why Use Mastra AI with the ItemPath MCP Server

Mastra AI provides unique advantages when paired with ItemPath through the Model Context Protocol.

01

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

ItemPath + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the ItemPath MCP Server delivers measurable value.

01

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

02

SaaS integrations: embed ItemPath 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 ItemPath on a cron and store results in your database automatically

04

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

ItemPath MCP Tools for Mastra AI (10)

These 10 tools become available when you connect ItemPath to Mastra AI via MCP:

01

get_material

Returns SKU details, storage rules, and quantity-on-hand. Essential for analyzing the status of specific inventory items. Retrieves details for a specific material

02

get_me

Use to verify connection health and current user identity. Gets current authenticated user info

03

get_order

Returns the list of materials involved, target locations, and picker information. Use this for troubleshooting order fulfillment or providing status updates. Retrieves details for a specific order

04

list_batches

Essential for managing perishable goods or regulated materials requiring lot tracking. Lists all material batches

05

list_calls

Useful for debugging integrations and monitoring system interaction frequency. Lists recent API request history

06

list_locations

Useful for understanding warehouse layout and identifying where specific materials are stored. Lists all storage locations

07

list_materials

Returns material names, descriptions, and IDs. Use this to identify products for inventory auditing or order analysis. Lists all materials in ItemPath

08

list_orders

Includes order IDs, types, and current status. Essential for monitoring warehouse throughput and workflow. Lists all orders

09

list_transactions

Returns timestamps, material IDs, quantity changes, and user IDs. Essential for auditing inventory accuracy and identifying recent stock changes. Lists all inventory transactions

10

list_users

Useful for identifying who performed specific inventory transactions. Lists all system users

Example Prompts for ItemPath in Mastra AI

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

01

"List all active materials in the warehouse."

02

"Show me the details for order ID 'ORD-123'."

03

"Check recent inventory transactions."

Troubleshooting ItemPath MCP Server with Mastra AI

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

01

createMCPClient not exported

Install: npm install @mastra/mcp

ItemPath + Mastra AI FAQ

Common questions about integrating ItemPath 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 ItemPath to Mastra AI

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