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InfoVetted MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 12 tools to Cancel Active Vetting, Check Api Connectivity, Create Contact Group, and more

Built by Vinkius GDPR 12 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect InfoVetted through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Use with Your AI Agent

Ask AI about this App Connector for OpenAI Agents SDK

Open in ChatGPT Open in Claude Open in Perplexity

The InfoVetted app connector for OpenAI Agents SDK 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

python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="InfoVetted Assistant",
            instructions=(
                "You help users interact with InfoVetted. "
                "You have access to 12 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from InfoVetted"
        )
        print(result.final_output)

asyncio.run(main())
InfoVetted
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

The OpenAI Agents SDK auto-discovers all 12 tools from InfoVetted through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries InfoVetted, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK

When OpenAI Agents SDK 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_active_vetting

Cancel a background check

check_api_connectivity

Verify InfoVetted API status

create_contact_group

g., "Engineering Team"). Create a new organization group

create_new_vetting_check

Initiate a background check

create_screening_contact

Add a new individual for screening

get_contact_details

Get details for a specific individual

get_vetting_request_status

Check status of a vetting process

list_configured_webhooks

List active webhooks

list_contact_groups

List organizational contact groups

list_screening_contacts

List individuals being screened

list_supported_check_types

). List available background check types

list_vetting_requests

List all background check requests

Connect InfoVetted to OpenAI Agents SDK via MCP

Follow these steps to wire InfoVetted into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install the SDK

Run pip install openai-agents in your Python environment
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Run the script

Save the code above and run it: python agent.py
04

Explore tools

The agent will automatically discover 12 tools from InfoVetted

Why Use OpenAI Agents SDK with the InfoVetted MCP Server

OpenAI Agents SDK provides unique advantages when paired with InfoVetted through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

InfoVetted + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the InfoVetted MCP Server delivers measurable value.

01

Automated workflows: build agents that query InfoVetted, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries InfoVetted, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through InfoVetted tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query InfoVetted to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for InfoVetted in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with InfoVetted immediately.

01

"Show all active vetting requests and create a new background check for a candidate."

02

"Check the status of Maria Silva's background check and list all screening contacts."

03

"Show completed vetting results and cancel the pending check for candidate #3."

Troubleshooting InfoVetted MCP Server with OpenAI Agents SDK

Common issues when connecting InfoVetted to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

InfoVetted + OpenAI Agents SDK FAQ

Common questions about integrating InfoVetted MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.