Use simple-statistics with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Generate exact Pearson and Spearman correlation matrices across all numeric columns local. Find the strongest relationships in your data without LLM math errors
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.
Complete set · 1 capability
The complete simple-statistics capability set.
These are the exact actions your AI can choose when you ask it to work with simple-statistics.
01
1 capability in this set.
Part of 1 available through simple-statistics.
- 01
Calculate correlation matrix
Calculate exact deterministic correlation matrices (Pearson) across multiple datasets offline
Observed, not estimated
803ms average. Fast in production.
simple-statistics is checked daily against the live service.
- Fastest day
- 676ms
- Slowest day
- 1017ms
- 14-day trend
- Slowing+8%
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 simple-statistics, so you can see the experience inside your AI.
It does not authenticate your account with simple-statistics. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
simple-statistics Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_O1b8NjjanR8Sw2KCAIHEbQQ02N2GeBTrkdiOkUNP/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 — simple-statistics capabilities are ready to use.
{
"mcpServers": {
"correlation-matrix-engine-mcp": {
"url": "https://edge.vinkius.com/vk_preview_O1b8NjjanR8Sw2KCAIHEbQQ02N2GeBTrkdiOkUNP/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 simple-statistics owners ask.
- 01
What is the difference between Pearson and Spearman?
Pearson measures linear relationships and assumes normally distributed data. Spearman is rank-based, making it robust against outliers and ideal for non-linear monotonic relationships.
- 02
How many columns can I correlate at once?
There is no hard limit. The engine builds the NxN matrix dynamically. The practical limit depends on the LLM's context window for serializing the input JSON.
- 03
Does it show which correlations are the strongest?
Yes! The engine automatically extracts and ranks the top 5 strongest absolute correlations, making it easy for the AI to highlight key insights.
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