How to Use the UpGuard MCP in Mastra AI

Build complex, self-correcting security workflows with Mastra AI and UpGuard's MCP Server.

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Connect UpGuard MCP to Mastra AI

Create your Vinkius account to connect UpGuard 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 UpGuard with Mastra AI

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Perplexity

Automating Vendor Risk Checks

If your workflow needs to check vendor risk, call `list_vendor_risks` within the Mastra AI client. The agent can then use conditional branching: if risks are found, it triggers a notification step; otherwise, it continues the main process.

Sequential Asset Monitoring

You can chain together multiple checks. For instance, first run `list_monitored_ips`, then pass those IPs to check for active risks using `list_account_risks`. The Mastra AI client handles the retries if one of these steps fails, ensuring your complex workflow completes gracefully.

Handling Identity Breach Escalation

The workflow can monitor for identity breaches using `list_identity_breaches`. If a breach is detected, the Mastra AI agent doesn't just stop; it executes an escalation path—say, retrying the check after 30 seconds with different parameters.

Setup guide

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

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

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

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Common questions about UpGuard MCP in Mastra AI

The MCP Server accesses identity breach and user risk data. Because this is sensitive information, the workflow engine ensures that all interactions are handled via controlled API calls, maintaining security protocols.

Absolutely. You define a multi-step sequence—like listing vendors first, and then checking the specific risks for those vendors using `list_vendor_risks`.

You'll be dealing with lists of monitored domains, IPs, user risk reports, and specific vendor details. The agent treats these as structured inputs for its workflow.

Mastra AI is built for this. If an API call to UpGuard fails, it automatically retries the operation using exponential backoff before notifying you that all attempts failed.

The available tools expose account risks, user risk metrics, and comprehensive vendor details. These structured data points drive the entire workflow engine's logic.

Use it with your favorite AI tools

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