InfoVetted MCP Server for Mastra AIGive Mastra AI instant access to 12 tools to Cancel Active Vetting, Check Api Connectivity, Create Contact Group, and more
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect InfoVetted through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
Ask AI about this App Connector for Mastra AI
The InfoVetted app connector for Mastra AI is a standout in the Human Resources category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"infovetted": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "InfoVetted Agent",
instructions:
"You help users interact with InfoVetted " +
"using 12 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with InfoVetted?"
);
console.log(result.text);
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About InfoVetted MCP Server
Connect your InfoVetted account to any AI agent and manage background checks through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and InfoVetted tool infrastructure. Connect 12 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
What you can do
- Vetting Requests — List all vetting requests, create new background checks, check status, and cancel active vettings
- Screening Contacts — Manage contacts for screening with full profile data, create new screening contacts, and inspect individual records
- Package Management — Browse available vetting packages and their included checks
- Result Tracking — Monitor check results with pass/fail status and compliance details
- Activity History — View submission and completion timelines
The InfoVetted MCP Server exposes 12 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 12 InfoVetted tools available for Mastra AI
When Mastra AI connects to InfoVetted through Vinkius, your AI agent gets direct access to every tool listed below — spanning background-screening, identity-verification, employment-checks, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Cancel a background check
Verify InfoVetted API status
g., "Engineering Team"). Create a new organization group
Initiate a background check
Add a new individual for screening
Get details for a specific individual
Check status of a vetting process
List active webhooks
List organizational contact groups
List individuals being screened
). List available background check types
List all background check requests
Connect InfoVetted to Mastra AI via MCP
Follow these steps to wire InfoVetted into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @mastra/core @mastra/mcp @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Mastra AI with the InfoVetted MCP Server
Mastra AI provides unique advantages when paired with InfoVetted through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add InfoVetted without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every InfoVetted tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
InfoVetted + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the InfoVetted MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query InfoVetted, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed InfoVetted as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query InfoVetted on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using InfoVetted tools alongside other MCP servers
Example Prompts for InfoVetted in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with InfoVetted immediately.
"Show all active vetting requests and create a new background check for a candidate."
"Check the status of Maria Silva's background check and list all screening contacts."
"Show completed vetting results and cancel the pending check for candidate #3."
Troubleshooting InfoVetted MCP Server with Mastra AI
Common issues when connecting InfoVetted to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpInfoVetted + Mastra AI FAQ
Common questions about integrating InfoVetted MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.