Leafengines

io.github.QWarrantoPublished by GitHub account QWarrantov2.0.8Updated Oct 24, 2026

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

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Overview

AI-generated overview

Gives an assistant agricultural intelligence tools for soil analysis, crop recommendations, weather forecasts, and environmental impact scoring.

What you can do
LeafEngines exposes agricultural analysis tools: USDA soil composition and pH/N-P-K recommendations, EPA water quality, NOAA climate and weather forecasting, crop recommendations, pest detection, irrigation scheduling, yield prediction, commodity market prices, and carbon credit or sustainability scoring. One tool, turbo_quant_capabilities, is a free hardware optimization check. The server runs locally over stdio and is documented for Claude Desktop and other MCP clients.
When to use it
Worth adding when an assistant needs to answer farming, agronomy, or land-management questions with soil, water, climate, and crop data, or to produce sustainability and carbon-credit estimates. Not useful for general-purpose tasks outside agriculture.
Requirements
Local Node.js runtime; install the npm package @ancientwhispers54/leafengines-mcp-server and run it over stdio. The LEAFENGINES_API_KEY environment variable is required for the paid tools and optional for the free turbo_quant_capabilities tool. Desktop client only; no web execution.
Before you install
Paid tools consume credits under per-request pricing and monthly plans, so an assistant call can spend money. The LEAFENGINES_API_KEY is a secret passed by environment variable; keep it out of shared configuration. Analysis requests are sent to the provider's API, so field or location details leave the machine. The README's patent, approval, and user-count claims are the vendor's own and are not independently verified here.

Installation

In SourceWeft

  1. Open Leafengines in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

README

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.

[GitHub MCP Registry] [MCP Registry]

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)

bash
# 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 review2. **Seamless future-proofing** - Aligns with QGIS release cycles (QGIS 4.0.0+ ready)3. **Instant credibility** - Discoverable by 500,000+ QGIS users in agriculture sector4. **Regulatory advantage** - Preferred for government/EPA/USDA-related procurements5. **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 serverleafengines-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

bash
# Install via ClawHub (available now)clawhub install leafengines
# Or manually add to skills directory

Option 3: Direct API

bash
# Working API now available!# URL: https://leafengines-agricultural-intelligence.onrender.com# Access: Comment on GitHub Issue #NUMBER
# Test FREE toolcurl -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:

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

OpenClaw Configuration

Add to OpenClaw config:

yaml
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

🌐 Links

🆓 Try It Free!

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

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

📞 Support

🌱 Happy farming with AI! Powered by TurboQuant technology.

Source: README.md at commit b74a26f

Tools

0
SourceWeft has not started this package in its sandbox yet, so its tools are not known.

Version history

1
  1. v2.0.8LatestSep 16, 2026

Score

50% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 days25 pts

    Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.

  • Auth declared10 pts

    Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.

  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts