How to Use the IPQualityScore (IPQS) MCP in Mastra AI

Q: How do I track credit usage for IPQualityScore (IPQS) inside a Mastra AI workflow?

Include a getcredits check at the start of your workflow. If the balance is too low, the agent can pause operations and alert you.

Automate fraud response workflows in Mastra AI with IPQualityScore (IPQS) data.

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Connect IPQualityScore (IPQS) MCP to Mastra AI

Create your Vinkius account to connect IPQualityScore (IPQS) 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 IPQualityScore (IPQS) with Mastra AI

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Perplexity

Automated fraud mitigation workflows

Build complex logic using `list_fraud` and `list_reports` to trigger automatic account freezes. Mastra AI handles the retries and branching if an API call hits a transient error. Define a workflow that checks `ip_lookup` results first. If the score hits a certain threshold, the agent can automatically escalate the issue to your security team.

Conditional security branching

Use `email_lookup` to decide the next step in your onboarding pipeline. If the domain appears risky, your Mastra AI agent can divert the user to a manual verification flow. This keeps your main registration path clean. You only interrupt users when the data suggests a genuine threat.

Audit and monitor your security posture

Schedule a workflow to pull `list_stats` periodically. It gives you a clear view of your threat landscape without manual intervention. Use `list_conversions` to cross-reference fraud events with your successful sign-ups. It helps you tune your risk thresholds based on actual business outcomes.

Setup guide

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

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

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

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Common questions about IPQualityScore (IPQS) MCP in Mastra AI

Mastra AI treats the IPQS tools as native functions within your workflow engine. You can chain these tools together to build automated decision trees.

Yes. The framework supports exponential backoff for every tool. If an API call fails, the agent will wait and try again automatically.

Yes. You can require tool approval for any sensitive operation. This ensures a human reviews the fraud flag before the agent takes action.

Include a `get_credits` check at the start of your workflow. If the balance is too low, the agent can pause operations and alert you.

The server only touches the raw input strings, such as phone numbers or URLs, required to query the IPQS API. Your sensitive user records remain within your own database.

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