Compatible with every major AI agent and IDE
Get candidate on Jobtoolz
Returns contact details, application history, and custom field values. Use this for deep-dive vetting of an applicant. Retrieves details for a specific candidate
Get job on Jobtoolz
Returns descriptions, requirements, and internal status. Essential for detailed analysis of a specific role. Retrieves details for a specific job
List candidates on Jobtoolz
Includes candidate names, IDs, and current pipeline status. Use this to monitor applicant flow and identify recent entries. Lists all candidates
List departments on Jobtoolz
Useful for filtering jobs and candidates by business unit (e.g., Sales, R&D). Lists all departments
List jobs on Jobtoolz
Returns job titles, IDs, and departments. Use this to identify open positions and locate job IDs for candidate management. Lists all active jobs
List locations on Jobtoolz
Useful for identifying jobs in specific geographical regions. Lists all office locations
List sources on Jobtoolz
g., "Company Website", "Indeed") configured in Jobtoolz. Useful for auditing the origins of candidate traffic. Lists all recruitment sources
List stages on Jobtoolz
g., "Applied", "Interview", "Offer"). Essential for understanding the company's hiring process. Lists all configured pipeline stages
List tags on Jobtoolz
Useful for identifying valid tags before performing a tagged search. Lists all configured tags
List users on Jobtoolz
Useful for identifying account administrators or hiring managers. Lists all organization users
How Vinkius protects your data
Is there a risk of the AI "going crazy" and deleting important company data?
No. With Vinkius, the AI operates on "rails". It can only make the exact moves you authorized in the tool's settings. It cannot invent routes, access other networks in your company, or decide to delete random files. If the action isn't in the approved catalog, the attempt is blocked instantly.
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.
How do I get Jobtoolz API credentials?
Log in to your Jobtoolz account, navigate to Settings > API, and find your API Key.
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 Jobtoolz
Add the Jobtoolz tool to your AI Agents. The toolkit allows Claude and ChatGPT to securely fetch and update targeted data.
The Future of recruitment
The Jobtoolz MCP manages API routing for recruitment. This enables AI agents like Claude Code to execute structured productivity queries.
Optimizing candidate pipeline with Claude
Connect Jobtoolz to provide your chatbots with candidate pipeline capabilities. The integration manages the backend execution for productivity workflows.
Jobtoolz. 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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