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Connect Dataframe Aggregator Engine to ChatGPT and Claude

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Get exact math on millions of rows without token bloat.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 1 capability

We ship only the actions that matter.

Capability set01 / 01

01

1 capability in this set.

Part of 1 available through arquero.

  1. 01

    Aggregate dataframe

    This capability runs high-speed GroupBy, Pivot, and aggregation operations on large CSV strings. It provides deterministic results for complex data wrangling tasks.

Real work

What teams actually run

01

Large Scale Sales Summaries

Group millions of transaction rows by region or product to find total revenue.

02

HR Data Rollups

Calculate average salaries or age distributions across different departments.

03

User Activity Audits

Count active users or specific event occurrences across massive export files.

04

Data Cleaning and Pivoting

Reshape raw CSV data into structured pivot tables for reporting.

Automate a task

Put arquero to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

arquero works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put arquero to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

961ms average. Fast in production.

arquero is checked daily against the live service.

Daily averagePeak 1084ms
Oct 3Today
Fastest day
780ms
Slowest day
1084ms
14-day trend
Slowing+5%

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.

Connector linkhttps://edge.vinkius.com/vk_preview_bJtQDTXCWq4XDZooGgwkm8PaGBY9YZu2Ymvsdmvb/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — arquero capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "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

Guided setup for Claude? Set up arquero in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work arquero owners hand off.

Data professionals and developers who need to bridge the gap between massive raw datasets and AI reasoning.

  • 01

    Data Analysts

    They hand off large CSV files to the AI to get instant summaries and pivots.

  • 02

    Software Engineers

    They use the capability to automate data processing tasks within their AI-driven workflows.

  • 03

    Business Intelligence Pros

    They use it to quickly roll up sales or user data without manual spreadsheet work.

FAQ

Questions arquero owners ask.

  • 01

    How does this MCP prevent AI hallucinations?

    It moves the math from the language model to a dedicated calculation engine. The AI only sees the final, computed numbers, not the raw data it has to guess at.

  • 02

    Can I use this with large CSV files?

    Yes. It is specifically designed to handle massive CSVs that would exceed the context limits of standard AI clients.

  • 03

    What engine is used for the calculations?

    The MCP uses Arquero, a high-performance JavaScript data engine used for professional data wrangling.

  • 04

    Will this save me money on tokens?

    Yes. Because the engine processes the raw rows and only sends the small, aggregated result back to the AI, you avoid paying for millions of unnecessary tokens.

  • 05

    Which AI clients can use this MCP?

    Any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.

  • 06

    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.

  • 07

    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).

  • 08

    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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