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frootai

v5.4.0

Published

FrootAI™ CLI & SDK — AI Primitive Unification Ecosystem. 100 solution plays, 830+ primitives, FAI Protocol. Install plays, cost estimates, scaffold projects, deploy to Azure.

Readme

frootai

FrootAI™ CLI & SDK — AI Primitive Unification Ecosystem

The official CLI for FrootAI — 100 solution plays, 830+ AI primitives, and the FAI Protocol.

Installation

# Run directly (no install needed)
npx frootai help

# Or install globally
npm i -g frootai

CLI Commands

# Explore
frootai help                              # Show all commands
frootai info 01                           # Play details, cost estimate, architecture
frootai list                              # Browse all 100 solution plays
frootai search "RAG architecture"         # Search knowledge base
frootai cost 01 --scale prod              # Detailed cost breakdown

# Build
frootai init                              # Interactive project scaffolding
frootai scaffold 01                       # Download play + generate templates
frootai scaffold 01 --kit devkit          # DevKit only
frootai install 01                        # Download play files to current dir

# Deploy
frootai deploy                            # Guided Azure deployment wizard
frootai deploy --dry-run                  # Preview without deploying
frootai deploy -y --resource-group myRG   # Non-interactive deploy

# Validate
frootai validate                          # Check project structure
frootai validate --waf                    # WAF alignment scorecard
frootai doctor                            # Health check for your setup

MCP Server

SDK (Programmatic API)

import { getPlay, searchKnowledge, getAllPlays, lookupTerm } from 'frootai';

// Get a specific play
const play = getPlay('01');
console.log(play.title, play.services);

// Search knowledge base
const results = searchKnowledge('RAG architecture');
results.forEach(r => console.log(r.title, r.score));

// Browse all 100 plays
const plays = getAllPlays();

// Look up AI terms
const def = lookupTerm('embeddings');

MCP Server

For the MCP server (AI agent integration), use the companion package:

npx frootai-mcp                           # Starts MCP server on stdin/stdout
{
  "mcpServers": {
    "frootai": {
      "command": "npx",
      "args": ["-y", "frootai-mcp"]
    }
  }
}

Links