DataFrame Aggregator Engine MCP Server with 1 Tools for Claude, Cursor, and AI Agents
Perform blazingly fast GroupBy and Aggregations on massive CSVs local. Save millions of AI tokens and get mathematically perfect sums, means, and counts. Vinkius routes your AI agents directly to DataFrame Aggregator Engine through a governed connection. 1 tools ready to use with Claude, ChatGPT, Cursor, or any AI agent — no hosting, no setup, connect in 30 seconds.
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Compatible with every major AI agent and IDE

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
What is the arquero MCP Server?
The arquero MCP Server routes AI agents like Claude, ChatGPT, and Cursor directly to arquero via 1 tools. Perform blazingly fast GroupBy and Aggregations on massive CSVs local. Save millions of AI tokens and get mathematically perfect sums, means, and counts. Powered by Vinkius — your credentials stay on your side of the connection, every request is auditable. Connect in under 2 minutes.
Built-in capabilities (1)
Tools for your AI Agents to operate arquero
Ask your AI agent "Group this sales CSV by 'Region' and calculate the sum of 'Revenue' and the average 'Discount'." and get the answer without opening a single dashboard. With 1 tools connected to real arquero data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.
Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by Vinkius — your credentials never touch the AI model, every request is auditable. Connect in under two minutes.
Why teams choose Vinkius
One subscription gives you the infrastructure to connect your AI agents to thousands of MCP servers — and deploy your own to the Vinkius Edge. Your credentials stay yours. Your data flows directly between your agent and the API. DLP blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade routing and governance, zero maintenance.
Build your own MCP Server with our secure development framework →The DataFrame Aggregator Engine App Connector works with every AI agent you already use
…and any MCP-compatible client


















Use all 1 DataFrame Aggregator Engine tools with your AI agents right now
Vinkius routes your AI agents to DataFrame Aggregator Engine through a governed proxy. Beyond a simple connection, you get full visibility into every action your agents perform, with enterprise-grade security and up to 60% savings on AI costs.
Aggregate dataframe on DataFrame Aggregator Engine
Perform extremely fast, deterministic GroupBy, Pivot, and Aggregations on massive CSV strings offline
What the DataFrame Aggregator Engine MCP Server unlocks
If you feed a 1,000,000-row CSV to an LLM and ask it to 'group by Region and sum the Revenue', the AI will either crash due to context limits or hallucinate the result.
This MCP delegates heavy data wrangling to arquero, an industry-standard high-performance JS data engine. The AI orchestrates the query, passes the raw CSV, and the engine computes exact sums, means, and counts instantly.
The Superpowers
- Massive Token Savings: The AI only reads the aggregated output, not the millions of raw rows.
- Zero Hallucination: Deterministic math performed by your CPU — not estimated by a language model.
- Blazing Fast: Powered by Arquero, the gold-standard JS data wrangling library used in academic visualization research.
- Multi-Aggregation: Apply different aggregation types to different columns in a single call.
Frequently asked questions about the DataFrame Aggregator Engine MCP Server
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.
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).
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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We built the connector to DataFrame Aggregator Engine. Now put your agents to work. Fully governed.
Vinkius is the AI Gateway with managed hosting. Stop building connectors. Every connection runs inside eight layers of security.
Hosted, sandboxed, and live on AWS. You don't provision anything. You don't maintain anything. You connect.
Every tool call, every token, every response. Logged and auditable. Data flows direct from DataFrame Aggregator Engine to your agent. Nothing is stored on our side. Ever.
Eight governance layers on every request. Sensitive data redacted before it reaches the model. Kill switch if anything goes sideways. Always on.
