Compatible with every major AI agent and IDE
Create applicant on Flatwork ATS
Pass applicant data as a JSON string. Add a new candidate
Get applicant on Flatwork ATS
Get applicant details
Get job on Flatwork ATS
Get job details
List applicants on Flatwork ATS
List all applicants/candidates
List applications on Flatwork ATS
List all job applications
List jobs on Flatwork ATS
List all job postings
List webhooks on Flatwork ATS
List configured webhooks
Update application status on Flatwork ATS
Update application hiring stage
How Vinkius protects your data
How does the AI access my passwords and credentials?
It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.
What happens if the underlying API rate limits my agent?
Our edge infrastructure automatically handles backoffs, queueing, and throttling. If an AI agent sends too many erratic requests, Vinkius manages the rate limits gracefully, ensuring your backend doesn't crash.
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.
Does the AI train on my tools or API data?
No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.
Automated Workflows using Flatwork ATS
Use Flatwork ATS with any AI agent framework to process, analyze, and mutate data securely via the Model Context Protocol.
AI-Driven hiring pipeline Workflows
The Flatwork ATS connection gives ChatGPT direct access to hiring pipeline tools. The integration handles the logic required for continuous productivity operations.
Mastering candidate tracking with Agents
The Flatwork ATS MCP manages API routing for candidate tracking. This enables AI agents like Claude Code to execute structured productivity queries.
Flatwork ATS. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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