How to Use the SEON MCP in Mastra AI

Q: Can I use SEON's AML tools with mastra-ai?

Yes. You can build workflows that mandate running amlscreening before processing any account details using getaccountinfo. This enforces compliance at the core level.

Q: Does SEON help detect institutional account fraud with mastra-ai?

Absolutely. You can build dedicated flows that run getaccountinfo and cross-reference it against known risk indicators provided by the MCP Server, maximizing detection breadth.

Build complex retry workflows for SEON transactions using mastra-ai and MCP Server.

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Connect SEON MCP to Mastra AI

Create your Vinkius account to connect SEON 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 SEON with Mastra AI

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Automated Fraud Triage with mastra-ai

Need to handle a payment failure gracefully? Your agent can build a conditional workflow: if `check_fraud` returns high risk, then wait five minutes and retry the transaction using a different method. This multi-step process handles failures automatically. The MCP Server manages the entire state machine. It ensures that retries happen with exponential backoff, keeping your complex payment flows robust without manual intervention.

Sequential Verification Chains

You can create a chain of required checks: first run `check_ip`, then if clean, run `check_phone`. If both pass, finally execute the core transaction check with `get_account_info`. This guarantees that all necessary validation steps are completed in order. This reliable sequence is critical for high-stakes financial operations where skipping a step means losing money.

Managing Compliance and Lists

The workflow can automatically check if a user needs vetting by running `aml_screening` before any action. Furthermore, it uses `list_rules` to enforce policy checks against known fraud parameters. It's the ultimate way to automate compliance: checking custom blacklists via `add_to_list` and logging every step into your audit trail.

Setup guide

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

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

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

It uses a built-in workflow engine for conditional branching. If one tool fails (e.g., `check_fraud` times out), the agent automatically executes a defined fallback step, ensuring no transaction is lost.

Yes. You can build workflows that mandate running `aml_screening` before processing any account details using `get_account_info`. This enforces compliance at the core level.

The server deals with sensitive identifiers like phone numbers, email addresses, and transaction records (`get_transaction`). These tools require secure handling within your workflow.

It is. The platform supports one-command deployment to any cloud environment, making it ideal for critical, production-grade financial services that need reliable failure handling.

Absolutely. You can build dedicated flows that run `get_account_info` and cross-reference it against known risk indicators provided by the MCP Server, maximizing detection breadth.

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