cailculator-mcp 1.0.0

CAILculator MCP Server - High-dimensional data analysis with dual algebra frameworks for Claude

CAILculator MCP Server

High-dimensional data analysis via Model Context Protocol.

Powered by proprietary Chavez Transform technology with proven mathematical foundations.

Features

• Advanced Pattern Detection: Find hidden structures in high-dimensional data
• Framework-Independent Analysis: Works across different mathematical representations
• Proven Reliability: Built on verified mathematical theorems
• Scales from 16D to 256D: Handles complexity traditional methods can't

Installation

pip install cailculator-mcp

Setup

Add to your MCP client configuration (example for Claude Desktop):

Mac/Linux: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "cailculator": {
      "command": "cailculator-mcp",
      "env": {
        "CAILCULATOR_API_KEY": "your_api_key_here"
      }
    }
  }
}

Contact [e-mail] for API key access.

Free for educators and students!

Usage

"Apply Chavez Transform to this dataset"
"Detect patterns in my high-dimensional data"
"Analyze this data for hidden structures"

Available Tools

chavez_transform

Apply proprietary transform for high-dimensional analysis.

detect_patterns

Find conjugation symmetries and structural patterns.

analyze_dataset

Complete end-to-end analysis pipeline.

Pricing

• Individual: $79.99/month
• Academ: $199/month
• Commercial: $299/month per seat
• Enterprise: Multiple API keys, contact for pricing

Research Foundation

Built on research published at DOI: 10.5281/zenodo.17402496

Incorporates recent mathematical discoveries connecting to E8 exceptional Lie algebra (October 2025).

Contact

Email: [e-mail] GitHub: https://github.com/pchavez2029/cailculator-mcp

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Chavez AI Labs - "Better math, less suffering"