Qualified.io MCP Server for Google ADKGive Google ADK instant access to 20 tools to Archive Assessment, Cancel Invitation, Create Assessment, and more

Name: Qualified.io
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

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

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The Qualified.io MCP Server for Google ADK is a standout in the Developer Tools category — giving your AI agent 20 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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ChatGPT

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Gemini

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VS Code

JetBrains

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+ other MCP clients

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="qualifiedio_agent",
    instruction=(
        "You help users interact with Qualified.io "
        "using 20 available tools."
    ),
    tools=[mcp_tools],
)

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 Qualified.io MCP Server

Connect your Qualified.io account to any AI agent to streamline your technical recruitment and engineering assessment workflows through natural conversation.

Google ADK natively supports Qualified.io as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 20 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

Assessment Management — List, create, and manage the lifecycle of your coding assessments, including publishing and archiving.
Candidate Invitations — Send assessment invitations to candidates and manage active invites directly through the API.
Result Tracking — Retrieve detailed assessment results and streamlined exhibits to evaluate candidate performance instantly.
Lifecycle Control — Terminate active results or schedule retries for candidates who need another attempt.
Cohort Analysis — List and organize assessment cohorts to manage groups of candidates effectively.

The Qualified.io MCP Server exposes 20 tools through the Vinkius. Connect it to Google ADK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

Update a review for an assessment result

Connect Qualified.io to Google ADK via MCP

Follow these steps to wire Qualified.io into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 20 tools from Qualified.io via MCP

Why Use Google ADK with the Qualified.io MCP Server

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

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

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

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

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

Qualified.io + Google ADK Use Cases

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

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

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

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

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

Example Prompts for Qualified.io in Google ADK

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

"List all active assessments and their IDs."

"Invite candidate 'John Doe' (john@example.com) to the 'Senior Fullstack' assessment."

"Show me the performance exhibit for result ID res_555."

Troubleshooting Qualified.io MCP Server with Google ADK

Common issues when connecting Qualified.io to Google ADK through Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Qualified.io + Google ADK FAQ

Common questions about integrating Qualified.io MCP Server with Google ADK.

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.

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.

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.