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Vinkius

Integrate H2O.ai with Claude, Cursor, Chatbots & AI Agents MCP Server

Manage AI models via H2O.ai — track data frames, monitor machine learning models and training jobs, and audit cloud cluster status directly from any AI agent.
MCP Inspector GDPR Free for Subscribers

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
cloud

Cloud status on H2O.ai

Get cloud status

get

Get frame on H2O.ai

Get frame

get

Get model on H2O.ai

Get model

list

List frames on H2O.ai

List frames

list

List jobs on H2O.ai

List jobs

list

List models on H2O.ai

List models

Security & Code Integrity Audit

Every tool in the H2O.ai MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.

MCP Inspector
A+Score: 100

How Vinkius protects your data

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.

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 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 check the progress of a model training job via chat?

Use the 'list_jobs' tool. Your agent will query the timeline nodes tracking all long-running tasks on the cluster, providing you with the current execution status and progress percentages synchronously.

H2O.ai Capabilities for AI Assistants

Use H2O.ai with any AI agent framework to process, analyze, and mutate data securely via the Model Context Protocol.

LLM Orchestration for machine learning

The H2O.ai toolkit translates Claude's commands into machine learning operations. The MCP server ensures accurate delivery within the ai frontier ecosystem.

Automating model lifecycle with AI

Connect the H2O.ai server to enable model lifecycle workflows. The integration provides structured schemas for Claude to mutate ai frontier data.

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