Use arquero with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Perform blazingly fast GroupBy and Aggregations on massive CSVs local. Save millions of AI tokens and get mathematically perfect sums, means, and counts.
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
Aggregate dataframe
Perform extremely fast, deterministic GroupBy, Pivot, and Aggregations on massive CSV strings offline
Observed, not estimated
973ms average. Fast in production.
arquero is checked daily against the live service.
- Fastest day
- 748ms
- Slowest day
- 1306ms
- 14-day trend
- Slowing+42%
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_bJtQDTXCWq4XDZooGgwkm8PaGBY9YZu2Ymvsdmvb/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": {
"dataframe-aggregator-engine-mcp": {
"url": "https://edge.vinkius.com/vk_preview_bJtQDTXCWq4XDZooGgwkm8PaGBY9YZu2Ymvsdmvb/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
What is the maximum CSV size supported?
The engine runs locally via Node.js, meaning it can handle gigabytes of CSV data as long as your machine has sufficient RAM. There is no artificial size cap.
- 02
Which aggregation functions are supported?
Currently: sum, mean, count, min, and max. You can map different columns to different aggregations in a single call (e.g., sum Revenue and count Orders simultaneously).
- 03
Why use Arquero instead of sending the CSV to the AI?
LLMs charge per token. A large CSV can cost dollars per query and the math will be hallucinated. Arquero is free, local, and processes data with mathematically perfect deterministic precision.
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