How to Use the Smarty MCP in Mastra AI

Q: How does Smarty integrate with the mastra-ai workflow engine?

The MCP Server exposes tools like validateusaddress directly to your agent. You define the steps: first, call the tool; second, evaluate the output's success status; and third, branch logic based on that result.

Build resilient location workflows with Smarty's MCP Server for your agent framework.

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Setup Smarty with Mastra AI

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Orchestrating US Address Checks

You can build a multi-step workflow that first uses `autocomplete_us_address` to get a highly probable address. Next, you pass the full string to `validate_us_address`. If validation fails due to an invalid DPV status, your agent can automatically retry by calling `verify_zip_code` and reattempting the check. This conditional logic ensures that if one step drops data, the entire workflow doesn't fail. It tries a different path until it gets confirmation or hits a defined error limit.

Handling International Address Failures

Building global systems means dealing with messy inputs. Use `validate_intl_address` in your workflow engine. If the initial validation fails, you can implement a fallback that triggers an address extraction routine via `extract_addresses`. This gives your agent two chances to find usable data. Since this MCP Server handles international formats, it's built for high-stakes global processes where failure isn't an option.

Data Quality Checks with Smarty

Start a workflow by calling `extract_addresses` to pull potential addresses from raw text. Then, you pass those extracted strings into the appropriate validation tools (`validate_us_address` or `validate_intl_address`) for confirmation. This two-step process confirms data integrity. The system verifies location intelligence across multiple inputs: structured US addresses and unstructured international formats.

Setup guide

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

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

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

The MCP Server exposes tools like `validate_us_address` directly to your agent. You define the steps: first, call the tool; second, evaluate the output's success status; and third, branch logic based on that result.

This MCP Server primarily touches physical address data. It handles both US street addresses and complex international formats, making it key for any location intelligence workflow in your agent.

Absolutely. You can build conditional branches around specific tools, like running `verify_zip_code` only if the main US validation fails, improving your overall workflow reliability.

Yes. You can build parallel or sequential steps that call both `validate_us_address` and `validate_intl_address` within the same overall workflow to cover all bases.

You can program your agent to catch the API failure. For instance, if `validate_us_address` fails, you can trigger a notification or a manual review step instead of crashing.

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