Compatible with every major AI agent and IDE
Get candidate on JobScore
Returns contact history, resume highlights (if available), and current application status. Use this before an interview or when evaluating an applicant. Retrieves details for a specific candidate
Get job on JobScore
Includes job descriptions, requirements, and hiring team identifiers. Use this to provide detailed information about a specific opening. Retrieves details for a specific job
Get me on JobScore
Use this to verify connection status and identity. Gets current authenticated user info
List candidates on JobScore
Includes candidate names, current stage, and IDs. Essential for monitoring the talent pool and identifying new applications. Lists all candidates
List departments on JobScore
g., Engineering, Marketing) used to categorize jobs in JobScore. Useful for filtering hiring data by business unit. Lists all departments
List hiring teams on JobScore
Useful for identifying recruiters and hiring managers associated with specific jobs. Lists all hiring teams
List jobs on JobScore
Returns job titles, IDs, and departments. Use this to identify active positions or find a job ID for candidate management. Lists all jobs in JobScore
List locations on JobScore
Useful for understanding the geographical scope of hiring efforts. Lists all office locations
List sources on JobScore
g., "LinkedIn", "Referral", "Job Board") from which candidates are originating. Essential for analyzing the effectiveness of hiring channels. Lists all candidate sources
List users on JobScore
Useful for identifying team members and their roles. Lists all users in the account
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 set different limits for each virtual assistant on my team?
Absolutely. You have full control in our command center. You can create an AI agent that only "reads" data so the support team can answer questions, and another superpowered agent that can "edit" and "create" information exclusively for your operations team. Each AI gets exactly the level of access you allow.
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.
Does it support departments and locations?
Yes, you can list all configured departments and office locations using this MCP.
Triggering JobScore via Natural Language
Securely interface Claude Code, ChatGPT, and Cursor with the JobScore API through semantic routing and standardized natural language triggers.
Intelligent applicant tracking Management
Provide Claude Code and Cursor with read and write access to applicant tracking. The JobScore toolkit handles all necessary routing for productivity integrations.
Claude Code Integration for hiring
The JobScore toolkit provides secure access to hiring functions. It enables conversational agents to manage productivity settings deterministically.
JobScore. 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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