How to Use the Airwallex MCP in Mastra AI

Build resilient treasury workflows that automatically retry failed transfers using the Airwallex integration for Mastra AI.

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Connect Airwallex MCP to Mastra AI

Create your Vinkius account to connect Airwallex 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 Airwallex with Mastra AI

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Claude

Perplexity

Automate complex Mastra AI payment pipelines

International wires fail. When they do, your application needs to handle the drop gracefully instead of crashing. You drop the `list_payments` tool into a Mastra workflow, and the engine automatically retries the fetch if the endpoint times out. You can build conditional branches based on the results. If `get_balance` returns insufficient funds in EUR, the workflow branches over to check USD balances via `list_accounts` before attempting a conversion.

Execute multi-currency logic with this MCP Server

Managing global money means dealing with constant exchange rate fluctuations. Your agents use `get_fx_rates` via the MCP Server to check quotes right before executing a step in your pipeline. If the rate shifts outside your target window, the system pauses the workflow. Need a human to sign off on a massive currency swap? Mastra supports tool approval flags. The agent queues up the conversion details, pings an admin, and waits for a manual green light before proceeding.

Sync beneficiaries across cloud environments

Deploying financial automation usually means fighting with environment variables and cloud configs. Mastra pushes your treasury agents to any cloud provider with a single command. Your code calls `list_beneficiaries` from AWS just as easily as it does from your local machine. The setup auto-detects whether you need Streamable HTTP or SSE for the connection. Once connected, your agent pulls the latest payee data and maps it against your internal database using `list_transfers` to reconcile past activity.

Setup guide

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

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

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

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Common questions about Airwallex MCP in Mastra AI

Install the MCP package and initialize a new client with your Vinkius URL. Call the list tools method and spread the returned array directly into your agent's configuration.

The framework handles exponential backoff out of the box. If an FX rate fetch drops the connection, the engine waits and tries again without you writing custom loop logic.

Set the approval flag on sensitive operations. The workflow pauses execution and waits for an administrator to click approve before proceeding.

Yes. You can configure a path that checks an account balance, then routes the execution down different tracks depending on whether the funds are sufficient.

Account balances and transfer histories route through a zero-trust architecture. Your queries execute inside an isolated sandbox that tears down immediately after the tools return their data. No logs retain your financial records.

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