Compatible with every major AI agent and IDE
Archive hiring opportunity on Lever
Archive a candidate opportunity
Create hiring opportunity on Lever
Requires a JSON body with opportunity details. Create a new candidate opportunity
Create job posting on Lever
Requires a JSON body with posting details. Create a new job posting
Get candidate profile on Lever
Get details for a specific candidate (person)
Get opportunity details on Lever
Get details for a specific candidate opportunity
Get posting details on Lever
Get details for a specific job posting
List hiring opportunities on Lever
List all candidate opportunities (applications)
List hiring stages on Lever
g., Screen, Interview) configured in your Lever account. List all defined hiring pipeline stages
List job postings on Lever
List all job postings
Update opportunity stage on Lever
g., move to "Interview" or "Offer"). Move a candidate to a different hiring stage
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.
Can I audit what my AI agents are doing with this integration?
Yes, Vinkius provides an immutable, HMAC-chained audit log. Every tool execution, payload, and response is tracked in real-time on your dashboard, giving you complete visibility into your agent's actions.
Can I archive an application via the agent?
Yes, use the archive_hiring_opportunity tool. You will need to provide the opportunity ID and a valid archive reason ID.
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 Chatbots Interact with Lever
The Lever integration provides comprehensive execution endpoints, allowing AI models to orchestrate tasks reliably.
Intelligent applicant tracking Management
Provide Claude Code and Cursor with read and write access to applicant tracking. The Lever toolkit handles all necessary routing for human resources integrations.
AI Semantic Routing for talent acquisition
Integrate talent acquisition features into your LLM framework using Lever. The MCP server ensures precise command execution across your human resources stack.
Lever. 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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