Use arquero with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Deterministically convert categorical text columns into dummy binary variables local. Essential machine learning data prep without LLM data corruption.
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 · 1 capability
The complete arquero capability set.
These are the exact actions your AI can choose when you ask it to work with arquero.
01
1 capability in this set.
Part of 1 available through arquero.
- 01
One hot encode
Deterministically convert a categorical string column into dummy binary variables offline
Observed, not estimated
809ms average. Fast in production.
arquero is checked daily against the live service.
- Fastest day
- 700ms
- Slowest day
- 1040ms
- 14-day trend
- Slowing+16%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 1 capability arrives 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 arquero, so you can see the experience inside your AI.
It does not authenticate your account with arquero. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
arquero Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_bx2Iki9s1oxAE0pLqwrp4dh1u4eFsllrqn2BNEJd/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 — arquero capabilities are ready to use.
{
"mcpServers": {
"one-hot-encoder-engine-mcp": {
"url": "https://edge.vinkius.com/vk_preview_bx2Iki9s1oxAE0pLqwrp4dh1u4eFsllrqn2BNEJd/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 arquero owners ask.
- 01
Does it drop the original categorical column?
No. The engine appends new binary columns (e.g., City_London, City_Paris) and preserves the original column so the AI can verify the encoding accuracy.
- 02
What if there are hundreds of unique categories?
The engine processes them all instantly. However, be aware that a massively expanded JSON returned to the LLM may consume significant context tokens. Consider grouping rare categories before encoding.
- 03
Can it encode multiple columns at once?
Currently, the engine accepts one target column per execution for deterministic validation. The AI can chain multiple calls to encode several columns sequentially.
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