How to Use the InfoVetted MCP in Mastra AI

Q: How do I implement human-in-the-loop with InfoVetted and Mastra AI?

Use the requireToolApproval flag on your agent tools. When the agent tries to call createnewvettingcheck, the workflow pauses until you click approve.

Q: Can I use InfoVetted with Mastra AI to automate my hiring pipeline?

Absolutely. You chain createscreeningcontact and createnewvettingcheck together in a single workflow. The agent executes both steps without you touching the keyboard.

Q: Is it easy to switch background check types in a Mastra AI and InfoVetted workflow?

Yes, just call listsupportedchecktypes first. Your agent reads the available options and selects the correct one for the candidate's jurisdiction.

Build reliable background check workflows in Mastra AI with automatic retries and conditional branching.

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Works with every AI agent you already use

…and any MCP-compatible client

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Connect InfoVetted MCP to Mastra AI

Create your Vinkius account to connect InfoVetted 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 InfoVetted with Mastra AI

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Perplexity

Complex vetting logic for Mastra AI

Define branching paths based on `get_vetting_request_status` outcomes. If a check flags a record, your agent automatically routes the result to a human supervisor. This removes the need for manual monitoring. You set the rules once, and the workflow engine manages the rest of the process.

Automated group management in Mastra AI

Organize candidates into departments using `create_contact_group`. Your agents assign new applicants to these groups to trigger specific screening workflows. This keeps your candidate database clean. Your agent handles the sorting, so you never lose track of who needs what check.

Robust error handling via MCP Server tools

Implement exponential backoff for `create_new_vetting_check` when API limits are hit. Your agents wait and retry until the request succeeds. This makes your background check pipeline resilient. You stop worrying about transient network issues and focus on the hiring outcomes.

Setup guide

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

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

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

Use the `requireToolApproval` flag on your agent tools. When the agent tries to call `create_new_vetting_check`, the workflow pauses until you click approve.

Absolutely. You chain `create_screening_contact` and `create_new_vetting_check` together in a single workflow. The agent executes both steps without you touching the keyboard.

We enforce strict credential scoping. Only the authorized agent process can access specific candidate IDs, and we rotate your endpoint tokens regularly. Your data stays private.

Yes, just call `list_supported_check_types` first. Your agent reads the available options and selects the correct one for the candidate's jurisdiction.

Mastra handles the retry logic natively. You configure the agent to call the MCP tools, and it automatically handles failures for you.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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