How to Use the Argyle MCP in Mastra AI

Q: How do I register Argyle tools in a Mastra AI agent?

Install @mastra/mcp@latest and initialize the client with your Vinkius URL. Call mcpClient.listTools() and spread the output into your agent's tool array so it can access getemployment and getincome.

Q: Can I require manual approval for Argyle actions in Mastra AI?

Yes, you can use Mastra's requireToolApproval flag on sensitive tools like createuser. This pauses the agent's execution until an operator confirms the user creation request.

Run automated Argyle payroll workflows with Mastra AI agents and conditional retry logic.

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Connect Argyle MCP to Mastra AI

Create your Vinkius account to connect Argyle 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 Argyle with Mastra AI

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Build self-healing payroll verification loops

This MCP Server exposes `get_account_check` to your Mastra agents, allowing them to verify connections automatically. Payroll APIs occasionally rate limit or fail, but Mastra AI handles these bumps without breaking. If a check fails, the workflow engine triggers a retry with exponential backoff before alerting your team. You register the tools by passing `mcpClient.listTools()` directly into your agent definition. Your agent gets the autonomy to verify status codes and retry the check without manual intervention.

Automate income analysis with Mastra AI workflow steps

This MCP Server lets you trigger `get_income` and `list_payouts` sequentially when a new user signs up. Processing financial applications requires strict step-by-step logic. The agent analyzes the payout history, calculates averages, and formats the data for your approval. You can enforce human-in-the-loop validation using the `requireToolApproval` setting. This stops the workflow before any external data is written, giving you a chance to review the income analysis.

Sync verified identities to your database

This MCP Server enables your Mastra agent to run `list_identities` and `get_employment` to cross-reference names, SSNs, and active job statuses. Keep your user records accurate by matching payroll profiles with internal accounts. If a discrepancy is found, the agent triggers a conditional branch to flag the profile. The setup is straightforward. Install `@mastra/mcp@latest`, define your server URL, and spread the tools into your agent. Mastra manages the transport protocol automatically.

Setup guide

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

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

const result = await agent.generate(
  "List recent Argyle 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 Argyle. 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 Argyle MCP in Mastra AI

Install `@mastra/mcp@latest` and initialize the client with your Vinkius URL. Call `mcpClient.listTools()` and spread the output into your agent's tool array so it can access `get_employment` and `get_income`.

Yes, you can use Mastra's `requireToolApproval` flag on sensitive tools like `create_user`. This pauses the agent's execution until an operator confirms the user creation request.

Mastra's workflow engine features built-in retries with exponential backoff. If a query like `get_account_check` drops due to a network glitch, the workflow retries the call automatically before raising an error.

Mastra automatically detects the transport layer. It works out of the box with the secure, managed HTTP and SSE endpoints provided by the Vinkius gateway.

We use zero-trust V8 isolates to run the server. Your payroll documents and identity records are processed entirely in memory, meaning Vinkius never writes this sensitive information to disk.

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