How to Use the ItemPath MCP in Mastra AI

Q: Can I use Mastra AI to trigger retries for ItemPath API calls?

Yes, the workflow engine supports automatic retries. If listcalls returns a temporary error, the agent will back off and try again.

Q: Is there a way to monitor ItemPath activity within Mastra AI?

Use the listcalls tool to view your recent API history. You can feed this data back into your agent to diagnose performance issues.

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Connect ItemPath MCP to Mastra AI

Create your Vinkius account to connect ItemPath 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 ItemPath with Mastra AI

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Perplexity

Automated workflows for ItemPath

Create complex logic flows that handle inventory discrepancies without manual intervention. Trigger `list_transactions` to identify anomalies and branch your workflow based on the results. It handles the retry logic and state management for you. If a call to `get_material` fails, the agent will handle the exception according to your defined policy.

Multi-step warehouse orchestration

Chain multiple operations together to fulfill orders or restock locations. Use `list_locations` to find space and `list_batches` to verify stock before taking action. It ensures every step finishes before moving to the next. You can build reliable pipelines that manage your entire warehouse lifecycle.

Human-in-the-loop inventory control

Add approval gates to your agent's actions for sensitive inventory tasks. You can force the agent to pause after calling `list_orders` until a human confirms the next move. It keeps you in control of your operations. The framework pauses the flow, waits for your input, and then continues.

Setup guide

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

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

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

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Common questions about ItemPath MCP in Mastra AI

You instantiate an MCPClient pointing to your server and spread the tools into your agent configuration. Mastra handles the connection automatically.

Yes, the workflow engine supports automatic retries. If `list_calls` returns a temporary error, the agent will back off and try again.

You can enable tool approval for any ItemPath tool. This prevents the agent from executing actions without your explicit sign-off.

Use the `list_calls` tool to view your recent API history. You can feed this data back into your agent to diagnose performance issues.

You provide the API keys as environment variables when you spin up the server. The MCP connection then uses these to identify your account safely.

Use it with your favorite AI tools

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

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