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Checkr MCP Server for Google ADK 8 tools — connect in under 2 minutes

Built by Vinkius GDPR 8 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Checkr as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Vinkius supports streamable HTTP and SSE.

python
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="checkr_agent",
    instruction=(
        "You help users interact with Checkr "
        "using 8 available tools."
    ),
    tools=[mcp_tools],
)
Checkr
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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.

Google ADK natively supports Checkr as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 8 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 Google ADK 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 Google ADK via MCP

Follow these steps to integrate the Checkr MCP Server with Google ADK.

01

Install Google ADK

Run pip install google-adk

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Create the agent

Save the code above and integrate into your ADK workflow

04

Explore tools

The agent will discover 8 tools from Checkr via MCP

Why Use Google ADK with the Checkr MCP Server

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

01

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

02

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Checkr

03

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

04

Seamless integration with Google Cloud services means you can combine Checkr tools with BigQuery, Vertex AI, and Cloud Functions

Checkr + Google ADK Use Cases

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

01

Enterprise data agents: ADK agents query Checkr and cross-reference results with internal databases for comprehensive analysis

02

Multi-modal workflows: combine Checkr tool responses with Gemini's vision and language capabilities in a single agent

03

Automated compliance checks: schedule ADK agents to query Checkr regularly and flag policy violations or configuration drift

04

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Checkr

Checkr MCP Tools for Google ADK (8)

These 8 tools become available when you connect Checkr to Google ADK via MCP:

01

create_new_candidate

Create a new candidate profile

02

get_candidate_details

Get detailed information for a specific candidate

03

get_report_details

Get detailed information for a specific background report

04

list_background_reports

List background check reports

05

list_checkr_candidates

List candidates in the account

06

list_screening_invitations

List invitations sent to candidates

07

list_screening_packages

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

08

start_background_check

Initiate a background check for a candidate

Example Prompts for Checkr in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Checkr immediately.

01

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

02

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

03

"What screening packages do I have available?"

Troubleshooting Checkr MCP Server with Google ADK

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

01

McpToolset not found

Update: pip install --upgrade google-adk

Checkr + Google ADK FAQ

Common questions about integrating Checkr MCP Server with Google ADK.

01

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
02

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
03

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.

Connect Checkr to Google ADK

Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.