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 AutoGen 8 tools — connect in under 2 minutes

Name: Checkr
Availability: InStock
Author: Vinkius

microsoft.github.io/autogen/docs/tools/mcp-tools

Built by Vinkius GDPR 8 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Checkr as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.

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 autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="checkr_agent",
            tools=tools,
            system_message=(
                "You help users with Checkr. "
                "8 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())

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* 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.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Checkr tools. Connect 8 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

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 AutoGen 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 AutoGen via MCP

Follow these steps to integrate the Checkr MCP Server with AutoGen.

Install AutoGen

Run pip install "autogen-ext[mcp]"

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

Explore tools

The workbench discovers 8 tools from Checkr automatically

Why Use AutoGen with the Checkr MCP Server

AutoGen provides unique advantages when paired with Checkr through the Model Context Protocol.

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Checkr tools to solve complex tasks

Role-based architecture lets you assign Checkr tool access to specific agents. a data analyst queries while a reviewer validates

Human-in-the-loop support: agents can pause for human approval before executing sensitive Checkr tool calls

Code execution sandbox: AutoGen agents can write and run code that processes Checkr tool responses in an isolated environment

Checkr + AutoGen Use Cases

Practical scenarios where AutoGen combined with the Checkr MCP Server delivers measurable value.

Collaborative analysis: one agent queries Checkr while another validates results and a third generates the final report

Automated review pipelines: a researcher agent fetches data from Checkr, a critic agent evaluates quality, and a writer produces the output

Interactive planning: agents negotiate task allocation using Checkr data to make informed decisions about resource distribution

Code generation with live data: an AutoGen coder agent writes scripts that process Checkr responses in a sandboxed execution environment

Checkr MCP Tools for AutoGen (8)

These 8 tools become available when you connect Checkr to AutoGen 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 AutoGen

Ready-to-use prompts you can give your AutoGen 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 AutoGen

Common issues when connecting Checkr to AutoGen through the Vinkius, and how to resolve them.

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

Checkr + AutoGen FAQ

Common questions about integrating Checkr MCP Server with AutoGen.

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call Checkr tools during their conversation turns.

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.