Compatible with every major AI agent and IDE
Assign seats on CodeRabbit
Up to 500 user IDs per request. Assign CodeRabbit seats to users
Demote users on CodeRabbit
Demote users from admin to member role
Get audit logs on CodeRabbit
Ideal for compliance reporting. Retrieve organization audit logs
Get metrics on CodeRabbit
Useful for engineering productivity analysis. Retrieve PR review metrics for a date range
Get seat mode on CodeRabbit
Get the current seat assignment mode
List users on CodeRabbit
Optionally filter by seat assignment status or role. List all users in the CodeRabbit organization
Promote users on CodeRabbit
Promote users to admin role
Unassign seats on CodeRabbit
Does not delete user accounts. Remove CodeRabbit seats from users
Update seat mode on CodeRabbit
Requires Enterprise plan. Update the seat assignment mode
How Vinkius protects your data
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.
How do I enable AI code reviews for new team members?
First run list_users with seat_filter=unassigned to find members without seats. Then use assign_seats with their user IDs to grant them AI-powered code review access 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.
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.
Triggering CodeRabbit via Natural Language
The CodeRabbit MCP server handles authentication and payload formatting, allowing your LLM to perform deterministic actions.
Scaling ai code review via MCP
Connect the CodeRabbit server to enable ai code review workflows. The integration provides structured schemas for Claude to mutate ai frontier data.
AI-Driven pull request automation Workflows
Integrate CodeRabbit to access native pull request automation capabilities. This allows LLMs to perform secure, deterministic execution of ai frontier tasks without hard-coded API scripts.
CodeRabbit. 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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