Flatwork ATS MCP Server for Google ADKGive Google ADK instant access to 8 tools to Create Applicant, Get Applicant, Get Job, and more
GDPR Free for SubscribersGoogle Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Flatwork ATS as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
Ask AI about this MCP Server for Google ADK
The Flatwork ATS MCP Server for Google ADK is a standout in the Productivity category — giving your AI agent 8 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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="flatwork_ats_agent",
instruction=(
"You help users interact with Flatwork ATS "
"using 8 available tools."
),
tools=[mcp_tools],
)
* 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 Flatwork ATS MCP Server
Connect your Flatwork ATS account to any AI agent and take full control of your recruitment pipeline and candidate management workflows through natural conversation.
Google ADK natively supports Flatwork ATS 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
- Job Orchestration — List all open and closed job postings and retrieve detailed metadata, including hiring teams and job requirements programmatically
- Candidate Tracking — Manage your complete directory of applicants and retrieve detailed profiles and contact information programmatically
- Application Lifecycle — Monitor active job applications and update candidate hiring stages (Interview, Hired, Rejected) directly through your agent
- Applicant Discovery — Programmatically create new candidates in the system using external data to automate your sourcing pipeline
- System Monitoring — List configured webhooks to understand real-time data flows and ensure high-fidelity synchronization with your HR tools
The Flatwork ATS 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.
All 8 Flatwork ATS tools available for Google ADK
When Google ADK connects to Flatwork ATS through Vinkius, your AI agent gets direct access to every tool listed below — spanning hiring-pipeline, candidate-tracking, job-postings, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Pass applicant data as a JSON string. Add a new candidate
Get applicant details
Get job details
List all applicants/candidates
List all job applications
List all job postings
List configured webhooks
Update application hiring stage
Connect Flatwork ATS to Google ADK via MCP
Follow these steps to wire Flatwork ATS into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install Google ADK
pip install google-adkReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenCreate the agent
Explore tools
Why Use Google ADK with the Flatwork ATS MCP Server
Google ADK provides unique advantages when paired with Flatwork ATS 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 Flatwork ATS
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 Flatwork ATS tools with BigQuery, Vertex AI, and Cloud Functions
Flatwork ATS + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Flatwork ATS MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Flatwork ATS and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Flatwork ATS tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Flatwork ATS regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Flatwork ATS
Example Prompts for Flatwork ATS in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Flatwork ATS immediately.
"List all active job postings in Flatwork ATS."
"Add 'John Doe' (john.doe@example.com) as a new applicant."
"Move application ID 'app_987' to the 'Interview' stage."
Troubleshooting Flatwork ATS MCP Server with Google ADK
Common issues when connecting Flatwork ATS to Google ADK through Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkFlatwork ATS + Google ADK FAQ
Common questions about integrating Flatwork ATS MCP Server with Google ADK.