How to Use the Lamha MCP in Mastra AI

Q: How does Mastra AI connect to the Lamha server?

Use the @mastra/mcp package to instantiate the client with the Lamha URL, then spread the retrieved MCP tools directly into your Mastra agent's tool configuration.

Q: Can I require human approval for Lamha tools in Mastra AI?

Yes, you can set requireToolApproval on tools like cancelorder or createorder to force an admin check before Mastra executes the action.

Q: How do I verify inventory levels before creating an order?

Run the listinventory tool inside your Mastra workflow step to check stock before triggering the createorder tool.

Build self-healing Arabic e-commerce workflows using Mastra AI and this dedicated MCP Server.

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Connect Lamha MCP to Mastra AI

Create your Vinkius account to connect Lamha 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 Lamha with Mastra AI

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Build reliable workflows with Mastra AI and Lamha

The `create_order` tool acts as the primary action step in your automated Mastra AI routing workflows. If a shipping request fails due to regional address mismatches, Mastra's built-in engine automatically retries the call with backoff. This prevents lost sales when dealing with complex Middle Eastern address formats. The MCP Server translates the natural language Arabic input into structured payload data that Mastra uses to execute the order.

Automatic carrier routing and fallback logic

The `list_carriers` tool feeds active logistics providers directly into your Mastra agent's decision tree. If your primary carrier cannot service a specific route, Mastra branches to a secondary provider instantly. You write the business logic once in TypeScript, and the agent resolves the rest. This keeps your delivery operations moving without requiring manual human intervention for every routing failure.

Safe order cancellations with approval gates

The `cancel_order` tool integrates with Mastra's human-in-the-loop validation features to secure your refund pipeline. When an Arabic-speaking customer requests a cancellation, the MCP connection lets the agent queue the request and prompts an admin for approval. This keeps your support operations secure while automating the tedious back-office work. Once approved, the cancellation executes immediately across your connected systems.

Setup guide

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

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

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Lamha. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Lamha MCP in Mastra AI

Use the `@mastra/mcp` package to instantiate the client with the Lamha URL, then spread the retrieved MCP tools directly into your Mastra agent's tool configuration.

Yes, you can set `requireToolApproval` on tools like `cancel_order` or `create_order` to force an admin check before Mastra executes the action.

Mastra automatically detects the transport type, allowing you to connect to Lamha using either Server-Sent Events (SSE) or Streamable HTTP.

Run the `list_inventory` tool inside your Mastra workflow step to check stock before triggering the `create_order` tool.

Your inventory levels, warehouse locations, and city coverage queries never leave the secure V8 sandbox. This MCP host executes these calls ephemerally, meaning no persistent storage of your e-commerce data occurs.

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