How to Use the Checkr MCP in OpenAI Agents SDK

Q: How do I start a background check using Checkr and the OpenAI Agents SDK?

Your agent first calls createnewcandidate to create the profile, then uses the returned ID to call startbackgroundcheck. The SDK's guardrails can validate the parameters before the action runs, adding a layer of safety.

Q: Can my agent see all our Checkr candidates with the OpenAI Agents SDK?

Yes. The listcheckrcandidates tool gives your agent a full list of every candidate in your Checkr account. The agent can then parse this data to answer questions or update other systems.

Automate your hiring compliance and run background checks with the OpenAI Agents SDK.

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Connect Checkr MCP to OpenAI Agents SDK

Create your Vinkius account to connect Checkr to OpenAI Agents SDK 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 Checkr with OpenAI Agents SDK

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Automate Candidate Screening

Connect your agent to Checkr to automate the first steps of your screening process. Your agent can create a new candidate profile using `create_new_candidate` and then immediately kick off a background check with `start_background_check` using a specific screening package. The OpenAI SDK’s guardrails let you define pre-execution checks, so an agent can’t accidentally start a check on the wrong person or use an expensive package by mistake. It’s automation you can actually trust in a production system.

Monitor Reports from your MCP Server

Once a check is running, your agent can keep tabs on its status. It can pull specific report details with `get_report_details` or get a full list of all recent reports using `list_background_reports`. Every call your agent makes is logged in the OpenAI dashboard. This gives you a full audit trail for every background check action, which is critical for staying compliant. You'll know exactly which agent did what, and when.

Manage Your Candidate Pipeline

Build agents that can answer questions about your hiring pipeline. The agent can pull complete lists of candidates with `list_checkr_candidates` or see all pending screening invitations with `list_screening_invitations`. You could have one agent that manages the candidate pipeline and hands off to a specialized 'compliance agent' to run the actual check. The OpenAI Agents SDK is built for these handoffs, letting each agent do one job well.

Setup guide

Set up Checkr MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Checkr tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Checkr tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Checkr tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Checkr Agent",
            instructions="You have access to Checkr tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Checkr MCP in OpenAI Agents SDK

Your agent first calls `create_new_candidate` to create the profile, then uses the returned ID to call `start_background_check`. The SDK's guardrails can validate the parameters before the action runs, adding a layer of safety.

Yes. The `list_checkr_candidates` tool gives your agent a full list of every candidate in your Checkr account. The agent can then parse this data to answer questions or update other systems.

The SDK's tracing gives you a full log of every action. If a call to a Checkr tool like `get_report_details` fails, you'll see the exact error and context in your OpenAI dashboard, which makes debugging much faster.

They are different tiers of background checks, like 'Pro' or 'Basic'. Your agent can use `list_screening_packages` to see the available options and then pass the chosen package ID to `start_background_check`.

Yes. The server processes candidate details like names and contact info to create profiles. Vinkius runs each MCP Server in a zero-trust, ephemeral sandbox, and all communication is encrypted end-to-end.

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