How do I find my Flatwork API Key?

Log in to your Flatwork account, navigate to **Settings** > **API**, and generate or copy your unique secret key.

Can I move a candidate to a custom hiring stage?

Yes! Use the `update_application_status` tool and provide the string name of your custom stage as defined in your ATS workflow.

How do I add new candidates found via LinkedIn?

Use the `create_applicant` tool and pass a JSON string containing the candidate's details like first name, last name, and email address.

Unlock for AI Agents

Flatwork ATS MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 8 tools to Create Applicant, Get Applicant, Get Job, and more

Name: Flatwork ATS
Availability: InStock
Author: Vinkius

GDPR Free for Subscribers

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Flatwork ATS through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Ask AI about this MCP Server for OpenAI Agents SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Flatwork ATS MCP Server for OpenAI Agents SDK is a standout in the Productivity category — giving your AI agent 8 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

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Flatwork ATS Assistant",
            instructions=(
                "You help users interact with Flatwork ATS. "
                "You have access to 8 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Flatwork ATS"
        )
        print(result.final_output)

asyncio.run(main())

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 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.

The OpenAI Agents SDK auto-discovers all 8 tools from Flatwork ATS through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Flatwork ATS, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK

When OpenAI Agents SDK 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.

create_applicant

Pass applicant data as a JSON string. Add a new candidate

get_applicant

Get applicant details

get_job

Get job details

list_applicants

List all applicants/candidates

list_applications

List all job applications

list_jobs

List all job postings

list_webhooks

List configured webhooks

update_application_status

Update application hiring stage

Connect Flatwork ATS to OpenAI Agents SDK via MCP

Follow these steps to wire Flatwork ATS into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 8 tools from Flatwork ATS

Why Use OpenAI Agents SDK with the Flatwork ATS MCP Server

OpenAI Agents SDK provides unique advantages when paired with Flatwork ATS through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Flatwork ATS + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Flatwork ATS MCP Server delivers measurable value.

Automated workflows: build agents that query Flatwork ATS, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Flatwork ATS, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Flatwork ATS tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Flatwork ATS to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Flatwork ATS in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK

Common issues when connecting Flatwork ATS to OpenAI Agents SDK through Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Flatwork ATS + OpenAI Agents SDK FAQ

Common questions about integrating Flatwork ATS MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.