Use H2O.ai with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. 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.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
Waiting for input…
Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Complete set · 6 capabilities
The complete H2O.ai capability set.
These are the exact actions your AI can choose when you ask it to work with H2O.ai.
01-03
3 capabilities in this set.
Part of 6 available through H2O.ai.
- 01
Get frame
Get frame
- 02
List models
List models
- 03
Cloud status
Get cloud status
04-06
3 capabilities in this set.
Part of 6 available through H2O.ai.
- 04
Get model
Get model
- 05
List jobs
List jobs
- 06
List frames
List frames
Observed, not estimated
857ms average. Fast in production.
H2O.ai is checked daily against the live service.
- Fastest day
- 644ms
- Slowest day
- 1203ms
- 14-day trend
- Slowing+47%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 6 capabilities arrive ready to run.
Preview access · not provider authentication
The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of H2O.ai, so you can see the experience inside your AI.
It does not authenticate your account with H2O.ai. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
H2O.ai Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_joJzJEG0t6WyiAGy91nhlV2uG13UXBw7Ejke9uIr/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — H2O.ai capabilities are ready to use.
{
"mcpServers": {
"h2oai-mcp": {
"url": "https://edge.vinkius.com/vk_preview_joJzJEG0t6WyiAGy91nhlV2uG13UXBw7Ejke9uIr/mcp"
}
}
}
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Step-by-step instructions for each client are in the guide. How to connect
FAQ
Questions H2O.ai owners ask.
- 01
Can my agent list all data frames currently loaded in my H2O cluster?
Yes. Use the 'list_frames' capability. The agent retrieves the list of structured datasets securely loaded into memory, including their IDs and basic metadata, allowing you to browse available data flawlessly.
- 02
How do I check the progress of a model training job via chat?
Use the 'list_jobs' capability. 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.
- 03
Can I see the internal architecture and metrics of a model through the agent?
Absolutely. Use the 'get_model' capability with the specific model ID. The agent will fetch the detailed configuration blocks, exposing hyperparameters and performance metrics natively within your chat context.
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