io.github.QWarranto/leafengines

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🌱 Agricultural AI: Soil analysis, crop recommendations, weather forecasts. FREE TurboQuant.

Que pouvez-vous faire avec io.github.QWarranto/leafengines ?

  • Soil Analysis - USDA soil data, satellite intelligence, environmental factors
  • Crop Recommendations - Optimal crop selection based on soil and climate
  • Weather Forecasts - Agricultural weather data for planning
  • Environmental Impact - Carbon footprint, water usage, sustainability analysis
  • TurboQuant Capabilities - FREE hardware optimization check (no API key required)
  • Pest Detection - Identify common agricultural pests
  • Irrigation Scheduling - Water optimization based on weather
  • Yield Prediction - Crop yield estimates

Installation

Ajoutez ceci à la configuration MCP de votre client (Claude Desktop : claude_desktop_config.json ; Cursor : .cursor/mcp.json ; VS Code et les autres utilisent la même forme « mcpServers »).

NPM package @ancientwhispers54/leafengines-mcp-server
Claude Code
claude mcp add leafengines -e 'LEAFENGINES_API_KEY=<your leafengines_api_key>' -- npx -y @ancientwhispers54/leafengines-mcp-server@2.0.8
Configuration JSON (Claude Desktop, Cursor, VS Code)
{
    "mcpServers": {
        "leafengines": {
            "command": "npx",
            "args": [
                "-y",
                "@ancientwhispers54/leafengines-mcp-server@2.0.8"
            ],
            "env": {
                "LEAFENGINES_API_KEY": "<your leafengines_api_key>"
            }
        }
    }
}

Variables d'environnement

  • LEAFENGINES_API_KEY secret LeafEngines API key from https://app.soilsidekickpro.com/api-docs or https://app.soilsidekickpro.com/mcp (required for paid tools, optional for FREE turbo_quant_capabilities tool)

Documentation

Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.

Sommaire
  1. LeafEngines - Agricultural AI Intelligence Platform
  2. Overview
  3. Repository Structure
  4. 🌾 Core Capabilities
  5. 🛡️ Enterprise-Grade Governance (New!)
  6. Quick Start
  7. Pricing
  8. 🔗 Integration Guides
  9. Documentation
  10. Contributing
  11. 📄 License
  12. 👥 Join Our Community
  13. 🌐 Links
  14. 🆓 Try It Free!
  15. 📞 Support

LeafEngines - Agricultural AI Intelligence Platform

🌱 TurboQuant-Powered Environmental Intelligence - Soil analysis, crop recommendations, weather forecasts, and environmental impact assessment for sustainable agriculture. The only patent-protected agricultural intellgence platform in the MCP ecosystem.

Overview

LeafEngines provides agricultural intelligence through multiple integration channels:

  • MCP Server for Claude Desktop and MCP-compatible clients
  • ClawHub Skill for OpenClaw agents
  • Claude Skill for Claude.ai users
  • Composio Integration for enterprise AI agents
  • Direct API for developers and applications

Repository Structure

leafengines-claude-mcp/
├── leafengines-mcp-server/          # MCP Server (npm package)
│   ├── README.md                    # Installation & usage
│   ├── src/                         # TypeScript source
│   └── dist/                        # Compiled JavaScript
├── leafengines-clawhub-skill/       # OpenClaw skill
│   ├── README.md                    # OpenClaw integration
│   ├── SKILL.md                     # Skill definition
│   ├── references/                  # Reference materials
│   └── scripts/                     # Helper scripts
├── leafengines-claude-skill/        # Claude.ai skill
│   ├── README.md                    # Claude integration
│   └── SKILL.md                     # Skill definition
├── leafengines-agricultural-intelligence/ # Core intelligence
├── leafengines-opportunity-scanner/ # Market opportunity tools
├── leafengines-arbitrage-skill/     # Agricultural arbitrage
└── leafengines-workspace-skill/     # Workspace management

🌾 Core Capabilities

USDA, EPA & NOAA Data Integration
  • USDA Soil Analysis - Comprehensive soil composition, pH, N/P/K recommendations from SSURGO database
  • EPA Water Quality - National water quality monitoring and contamination risk assessment
  • NOAA Climate Insights - Historical weather data, climate trends, and agricultural forecasting
Offline-First for Deep Canopy & GPS-Denied Operations
  • Works anywhere - No internet required for core functionality
  • Deep canopy compatible - Designed for remote agricultural environments with limited connectivity
  • GPS-denied ready - Military-grade positioning algorithms for contested environments
  • Offline-first architecture - Local processing without cloud dependency
Environmental Intelligence & Carbon Credit Calculations
  • Carbon Credit Calculations - Accurate emissions tracking for regulatory compliance
  • Sustainability Scoring - Environmental impact assessment and reporting
  • Environmental compatibility - Patent-pending algorithms for ecosystem analysis

🛡️ Enterprise-Grade Governance (New!)

Built-in production readiness from day one:

  • ✅ Complete audit logging - Every tool call tracked with attribution
  • ✅ Operations dashboard - Real-time monitoring and anomaly detection
  • ✅ PII protection - Automatic sanitization of sensitive data
  • ✅ Compliance ready - SOC 2 alignment, export capabilities
  • ✅ Session correlation - Trace multi-step agent reasoning

Why this matters: Most MCP servers lack governance until enterprises demand it (painful retrofit). We built it in from the start.

TurboQuant Performance
  • 6x memory reduction with Google TurboQuant optimization
  • 8x faster inference for agricultural analysis
  • Gemma 7B on 4GB devices (previously required 8GB+)
  • Cloud-equivalent performance on edge devices
Agricultural Intelligence Tools
  1. Soil Analysis - USDA soil data, satellite intelligence, environmental factors
  2. Crop Recommendations - Optimal crop selection based on soil and climate
  3. Weather Forecasts - Agricultural weather data for planning
  4. Environmental Impact - Carbon footprint, water usage, sustainability analysis
  5. TurboQuant Capabilities - FREE hardware optimization check (no API key required)
  6. Pest Detection - Identify common agricultural pests
  7. Irrigation Scheduling - Water optimization based on weather
  8. Yield Prediction - Crop yield estimates
  9. Market Prices - Agricultural commodity prices
  10. Sustainability Score - Environmental impact assessment

Quick Start

Option 1: MCP Server (Claude Desktop)
# Install globally

## 🎯 QGIS Plugin Officially Approved!

**Plugin ID:** 4987 (LeafEngines Agricultural Intelligence)  
**Version:** 1.0.2 Experimental  
**Status:** ✅ **PUBLICLY AVAILABLE**  
**Download:** https://plugins.qgis.org/plugins/qgis_leafengines/version/1.0.2/download/

### Key Features:
- **USDA soil data** - Soil composition, pH, N/P/K recommendations
- **EPA water quality** - Water quality metrics and analysis
- **NOAA climate data** - Historical weather patterns and agricultural forecasting
- **Satellite vegetation indices** - NDVI, water-stress overlays from NASA MODIS
- **AI-powered crop recommendations** - Tailored to exact field polygons
- **Carbon credit calculations** - Environmental impact scoring for regulatory compliance
- **Offline-first architecture** - Works in remote/"deep canopy" areas
- **GPS-denied capabilities** - Military-proven algorithms for contested environments

### Strategic Advantages for Partners:
1. **Pre-vetted, low-risk integration** - Officially approved by QGIS after rigorous review
2. **Seamless future-proofing** - Aligns with QGIS release cycles (QGIS 4.0.0+ ready)
3. **Instant credibility** - Discoverable by 500,000+ QGIS users in agriculture sector
4. **Regulatory advantage** - Preferred for government/EPA/USDA-related procurements
5. **Ecosystem power** - Integrates with thousands of complementary QGIS plugins

### For OEM Partners:
Embed LeafEngines agricultural intelligence directly into your hardware or software platforms with confidence. The official QGIS approval eliminates weeks of custom validation, security audits, and compatibility testing.

*Approved: April 14, 2026*

npm install -g @ancientwhispers54/leafengines-mcp-server

# Run the server
leafengines-mcp-server

MCP Registry: io.github.QWarranto/leafengines version 1.1.5
GitHub MCP Registry: ✅ Approved July 6, 2026 — listed at github.com/mcp

Option 2: OpenClaw Skill
# Install via ClawHub (available now)
clawhub install leafengines

# Or manually add to skills directory
Option 3: Direct API
# Working API now available!
# URL: https://leafengines-agricultural-intelligence.onrender.com
# Access: Comment on GitHub Issue #NUMBER

# Test FREE tool
curl -X POST https://app.soilsidekickpro.com/turbo-quant-capabilities

Pricing

FREE Tier
  • turbo_quant_capabilities tool - No API key required
  • Hardware optimization check
  • TurboQuant compatibility verification
Paid Tiers (per 1,000 requests)
  • Commoditized: $0.001 (Basic soil/weather data)
  • Enhanced: $0.003 (Environmental impact, crop suitability)
  • Proprietary: $0.01 (Planting optimization, carbon credits)
  • EXCLUSIVE: $0.02 (Patent-pending environmental compatibility)
Monthly Plans
  • Starter: $149/month (5k commoditized + 3k enhanced + 1.5k proprietary + 500 exclusive)
  • Pro: $499/month (20k commoditized + 10k enhanced + 5k proprietary + 2k exclusive)
  • Enterprise: $1,999/month (100k commoditized + 50k enhanced + 25k proprietary + 10k exclusive)

🔗 Integration Guides

Claude Desktop Configuration

Add to mcp.json:

{
  "mcpServers": {
    "leafengines": {
      "command": "leafengines-mcp-server",
      "env": {
        "LEAFENGINES_API_KEY": "your_api_key_here"
      }
    }
  }
}
OpenClaw Configuration

Add to OpenClaw config:

skills:
  leafengines:
    enabled: true
    config:
      api_key: YOUR_API_KEY_HERE
      base_url: https://app.soilsidekickpro.com/api-docs
Composio Integration

LeafEngines is available on Composio platform as custom tools for enterprise AI agents.

Documentation

API Documentation
MCP Server
Skills & Integrations
  • ClawHub Skill: For OpenClaw agents
  • Claude Skill: For Claude.ai users
  • Composio Tools: For enterprise AI agents

Contributing

Contributions are welcome! Please see individual directory CONTRIBUTING.md files for guidelines.

Project Philosophy

This repository contains integration adapters only. All proprietary intelligence (TurboQuant, AlphaEarth embeddings, phenology models) remains in the backend API.

What to Contribute
  • Bug fixes and improvements
  • Documentation enhancements
  • Integration examples
  • Test cases
What NOT to Contribute
  • Proprietary algorithms
  • Hardcoded business logic
  • IP-sensitive code

📄 License

Integration Code

Apache 2.0 License - See individual directory LICENSE files.

API Service

Commercial terms with FREE tier available. See pricing section or https://app.soilsidekickpro.com/mcp for details.

TurboQuant Technology

Based on Google's TurboQuant research (6x memory compression for LLMs).

👥 Join Our Community

750+ developers are already using LeafEngines MCP Server!

  • 💬 GitHub Discussions: Share your use cases & get help
  • 🎥 Upcoming Videos: Agricultural AI MCP tutorials (subscribe for updates)
  • 🐦 Twitter/X: @LeafEnginesAI for updates
  • 📧 Newsletter: Monthly MCP tips & agricultural AI insights

🆓 Try It Free!

The turbo_quant_capabilities tool is completely free - no API key or payment required. Perfect for testing and demonstrations!

# Test the FREE tool
leafengines-mcp-server
# Then in Claude Desktop, ask: "Check TurboQuant capabilities"

📞 Support


🌱 Happy farming with AI! Powered by TurboQuant technology.

Questions fréquentes

Qu'est-ce que io.github.QWarranto/leafengines ?

🌱 Agricultural AI: Soil analysis, crop recommendations, weather forecasts. FREE TurboQuant.

Comment installer io.github.QWarranto/leafengines ?

Il s'exécute sur votre machine. Dans Claude Code : claude mcp add leafengines -e 'LEAFENGINES_API_KEY=<your leafengines_api_key>' -- npx -y @ancientwhispers54/leafengines-mcp-server@2.0.8. Pour les autres clients, collez la configuration JSON de cette page dans leurs réglages MCP.

Faut-il une clé API pour io.github.QWarranto/leafengines ?

Oui. Il attend LEAFENGINES_API_KEY, à renseigner dans sa configuration.

io.github.QWarranto/leafengines est-il open source ?

Oui. Son code est sur GitHub sous licence MIT.

Qui maintient io.github.QWarranto/leafengines ?

Il est publié par QWarranto. AI.tn le référence sans le maintenir ni le recommander.

Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.