Compatible with every major AI agent and IDE
Get allocation on OpenCost (K8s Cost)
Query costs and resources allocated to Kubernetes workloads
Get assets on OpenCost (K8s Cost)
Retrieve backing cost data broken down by individual assets
Get cloud cost on OpenCost (K8s Cost)
Retrieve cloud cost data directly from cloud provider billing reports
Get custom cost timeseries on OpenCost (K8s Cost)
g., Datadog, MongoDB Atlas). Get samples of third-party service costs over time steps
Get custom cost total on OpenCost (K8s Cost)
Get summary of third-party costs over a window
Set log level on OpenCost (K8s Cost)
Change OpenCost log level at runtime
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.
Does this server support viewing external cloud provider billing?
Absolutely. The get_cloud_cost tool retrieves data directly from cloud provider billing reports (AWS CUR, Azure Export, GCP Billing) to give you a complete financial picture.
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.
Supported Use Cases for OpenCost (K8s Cost)
The OpenCost (K8s Cost) integration provides structured, LLM-friendly schemas for reliable tool execution within your agentic workflows.
LLM Orchestration for kubernetes
The OpenCost (K8s Cost) toolkit provides secure access to kubernetes functions. It enables conversational agents to manage cloud infrastructure settings deterministically.
Autonomous cost optimization via AI
The OpenCost (K8s Cost) toolkit enables AI agents to execute cost optimization commands. It handles protocol translation for cloud infrastructure integrations natively.
OpenCost (K8s Cost). 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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