How do I find my ApplicantStack API Token?

Log in to ApplicantStack, go to **Settings**, then **Edit Settings**. Your API token will be listed under the API section.

What is the subdomain?

The subdomain is the first part of your ApplicantStack URL (e.g., if your URL is `mycompany.applicantstack.com`, your subdomain is `mycompany`).

Can I move a candidate to a new stage?

Yes, use the `update_candidate` tool and provide the new stage name in the `stage` field to advance them in your workflow.

ApplicantStack MCP Server for Google ADK 7 tools — connect in under 2 minutes

Name: ApplicantStack
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 7 Tools SDK

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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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="applicantstack_agent",
    instruction=(
        "You help users interact with ApplicantStack "
        "using 7 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 ApplicantStack MCP Server

The ApplicantStack MCP Server integrates your recruiting and onboarding workflows directly into your AI workspace. Efficiently manage your job listings, track candidate progress through custom stages, and streamline your hiring process using simple natural language.

Google ADK natively supports ApplicantStack as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 7 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

Key Features

Job Management — List all active and closed job openings, and retrieve full metadata for any specific listing.
Candidate Tracking — Access your entire applicant database and filter by workflow stage or score.
Workflow Automation — Move candidates between stages (e.g., from 'Interview' to 'Hired') and update their profiles instantly.
Onboarding & Hires — Access onboarding data for new hires to ensure a smooth transition from applicant to employee.
Secure Access — Uses private access tokens to safely interact with your organization's recruiting data.

Benefits for Teams

Recruiters — Quickly check the status of candidates for multiple jobs without switching between tabs.
Hiring Managers — Review candidate profiles and scores using AI-assisted summaries.
HR Teams — Track hiring trends and ensure onboarding tasks are initiated for all new hires.

The ApplicantStack MCP Server exposes 7 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 ApplicantStack to Google ADK via MCP

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

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 7 tools from ApplicantStack via MCP

Why Use Google ADK with the ApplicantStack MCP Server

Google ADK provides unique advantages when paired with ApplicantStack 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 ApplicantStack

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 ApplicantStack tools with BigQuery, Vertex AI, and Cloud Functions

ApplicantStack + Google ADK Use Cases

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

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

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

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

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

ApplicantStack MCP Tools for Google ADK (7)

These 7 tools become available when you connect ApplicantStack to Google ADK via MCP:

get_account_check

Verify ApplicantStack account connection

get_candidate

Get details for a specific candidate

get_job

Get details for a specific job

list_candidates

List all candidates

list_hires

List all hires (onboarding)

list_jobs

List all job listings in ApplicantStack

update_candidate

Use stage field to move them in the workflow. Update candidate information or stage

Example Prompts for ApplicantStack in Google ADK

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

"List all active job openings in ApplicantStack."

"Show me candidates currently in the 'Interview' stage."

"Move candidate 'C12345' to the 'Hired' stage."

Troubleshooting ApplicantStack MCP Server with Google ADK

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

McpToolset not found

Update: pip install --upgrade google-adk

ApplicantStack + Google ADK FAQ

Common questions about integrating ApplicantStack 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.