How to Use the Ele.me Open Platform / 饿了么 MCP in Mastra AI

Build resilient, multi-step restaurant workflows in Mastra AI with automatic retries and conditional logic for order handling.

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Connect Ele.me Open Platform / 饿了么 MCP to Mastra AI

Create your Vinkius account to connect Ele.me Open Platform / 饿了么 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 Ele.me Open Platform / 饿了么 with Mastra AI

Ask AI about this MCP

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Claude

Perplexity

Automated order flows for Mastra AI

Chain `list_recent_orders` and `confirm_order` into complex workflows. If an order fails to confirm, Mastra AI handles the retry logic automatically. Your agents maintain control over the process. You define the conditions, and the framework executes the steps until the order is locked in.

Conditional shop status logic

Create agents that monitor kitchen load and trigger `close_shop` if volume exceeds your thresholds. Your workflow engine evaluates state before taking action. You avoid manual intervention during peak hours. The system checks the status via `get_shop_info` and reacts based on your programmed safety limits.

Fail-safe delivery monitoring

Wrap `track_delivery` in a workflow that alerts your team if a delivery stalls. Mastra AI provides the backbone for these critical operational triggers. You define the failure criteria. If the data doesn't update within your expected window, the agent initiates the next step in your sequence.

Setup guide

Set up Ele.me Open Platform / 饿了么 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 Ele.me Open Platform / 饿了么 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: "eleme-open-platform-mcp-client",
  servers: {
    "eleme-open-platform-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Ele.me Open Platform / 饿了么 Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Ele.me Open Platform / 饿了么 tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Ele.me Open Platform / 饿了么 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 Ele.me Open Platform / 饿了么. 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.

Why Choose Vinkius

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Real-time monitoring

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

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Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Ele.me Open Platform / 饿了么 MCP in Mastra AI

You instantiate the client and spread the tools into your agent configuration. Mastra AI then treats the platform tools as native functions.

Absolutely. Use the requireToolApproval setting to pause the workflow until you review the action. This works for any tool, including order cancellations.

Yes. Configure your workflow to catch errors from tools like `confirm_order`. The engine automatically attempts a retry based on your exponential backoff settings.

Initialize separate agent instances for each shop ID. You map the shop metadata from `get_shop_info` to keep your operations distinct.

We enforce strict sandbox boundaries. Your shop metadata and order logs are isolated to your specific instance, ensuring no other agents can access your private records.

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