Can I see if a background check has any issues through the agent?

Yes! Use the `get_report_details` tool. The agent will return the current status. If the status is 'Consider', it means some records were found that require your review.

How do I invite a new candidate to start their check?

First, use `create_new_candidate` to add them to your account, then use `start_background_check` with the appropriate package name to trigger the invitation email.

Where do I find my Checkr API Secret Key?

Log in to your Checkr dashboard and navigate to **Settings -> API**. You can generate and copy your Secret Key from the 'API Keys' section.

Checkr MCP Server for OpenAI Agents SDK 8 tools — connect in under 2 minutes

Name: Checkr
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 8 Tools SDK

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

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="Checkr Assistant",
            instructions=(
                "You help users interact with Checkr. "
                "You have access to 8 tools."
            ),
            mcp_servers=[mcp_server],
        )

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

asyncio.run(main())

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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 Checkr MCP Server

Connect your Checkr account to any AI agent and take full control of your background screening and hiring compliance through natural conversation. Streamline how you screen candidates and verify credentials.

The OpenAI Agents SDK auto-discovers all 8 tools from Checkr through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Checkr, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Candidate Oversight — List and retrieve details for all candidates in your account natively
Report Intelligence — Access background check reports and their current status (Clear, Consider, Pending) flawlessly
Screening Automation — Create new candidate profiles and initiate background checks securely
Package Logistics — List and manage available screening packages like 'Pro' and 'Basic' flawlessly
Invitation Control — Monitor invitations sent to candidates to complete their own screening applications securely
Compliance Monitoring — Retrieve detailed report results and adverse action status directly within your workspace

The Checkr MCP Server exposes 8 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.

How to Connect Checkr to OpenAI Agents SDK via MCP

Follow these steps to integrate the Checkr MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

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

Run the script

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

Explore tools

The agent will automatically discover 8 tools from Checkr

Why Use OpenAI Agents SDK with the Checkr MCP Server

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

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

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

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

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

Checkr + OpenAI Agents SDK Use Cases

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

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

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

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

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

Checkr MCP Tools for OpenAI Agents SDK (8)

These 8 tools become available when you connect Checkr to OpenAI Agents SDK via MCP:

create_new_candidate

Create a new candidate profile

get_candidate_details

Get detailed information for a specific candidate

get_report_details

Get detailed information for a specific background report

list_background_reports

List background check reports

list_checkr_candidates

List candidates in the account

list_screening_invitations

List invitations sent to candidates

list_screening_packages

List available screening packages (e.g. Pro, Basic)

start_background_check

Initiate a background check for a candidate

Example Prompts for Checkr in OpenAI Agents SDK

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

"List the last 5 background checks in my Checkr account."

"Check the status of the candidate named 'Jane Smith'."

"What screening packages do I have available?"

Troubleshooting Checkr MCP Server with OpenAI Agents SDK

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

MCPServerStreamableHttp not found

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

Agent not calling tools

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

Checkr + OpenAI Agents SDK FAQ

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

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.