LeafEngines MCP Server v1.1.0#

TurboQuant-Powered Agricultural Intelligence API for Claude and OpenClaw. Provides environmental data and analysis tools with 6x memory reduction, 8x faster inference. Gemma 7B now runs on 4GB devices.

Features#

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

10 Agricultural Intelligence Tools:

1. Soil Analysis - Composition and recommendations
2. Weather Forecast - 7-day forecasts
3. Crop Recommendations - Based on soil/climate
4. Pest Detection - Identify common pests
5. Irrigation Scheduling - Water optimization
6. Yield Prediction - Crop yield estimates
7. Market Prices - Agricultural commodity prices
8. Sustainability Score - Environmental impact
9. Farm Planning - Seasonal planning tools
10. TurboQuant Capabilities - Check optimization status (FREE)

Pricing Tiers#

API Access (per 1,000 requests):

• Commoditized: $0.001 (Basic soil/water data)
• Enhanced: $0.003 (Environmental impact, crop suitability)
• Proprietary: $0.01 (Planting optimization, carbon credits)
• EXCLUSIVE: $0.02 (Patent-pending environmental compatibility)
• TurboQuant Testing: FREE (Check optimization capabilities)

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)

Quick Start#

1. Get API Key#

Visit: https://github.com/QWarranto/leafengines-claude-mcp/issues/new?template=get-api-key.md

2. Configure Claude Desktop#

1. Open Claude Desktop settings
2. Navigate to Developer → MCP Servers
3. Add new server:
   • URL: https://wzgnxkoeqzvueypwzvyn.supabase.co/functions/v1/mcp-server
   • Headers: x-api-key: YOUR_API_KEY_HERE

3. Configure OpenClaw#

Add to OpenClaw config:

yaml

mcpServers:
  leafengines:
    url: https://wzgnxkoeqzvueypwzvyn.supabase.co/functions/v1/mcp-server
    headers:
      x-api-key: YOUR_API_KEY_HERE

Use Cases#

For Farmers & Agriculturists#

• Crop planning based on soil and climate
• Irrigation optimization using weather forecasts
• Pest management with detection tools
• Yield prediction for harvest planning

For Researchers & Students#

• Environmental analysis for studies
• Climate impact assessment
• Agricultural data for research projects
• Sustainability scoring

For Developers & AI Agents#

• Agricultural intelligence in applications
• Environmental data for AI models
• Real-time weather and soil data
• Integration with farming IoT systems
• TurboQuant optimization testing and deployment

For TurboQuant Users#

• Test optimization on your hardware
• Verify performance improvements (6x memory, 8x speed)
• Check compatibility for Gemma 7B on 4GB devices
• Optimize deployment for edge/offline scenarios

API Documentation#

Base URL: https://wzgnxkoeqzvueypwzvyn.supabase.co/functions/v1/

Authentication: x-api-key header

Endpoints:

• GET /api/health - Service health check
• POST /soil-analysis - Soil composition analysis
• GET /weather-forecast - Weather forecasts
• POST /crop-recommendation - Crop suggestions
• POST /pest-detection - Pest identification
• POST /irrigation-schedule - Water optimization
• POST /yield-prediction - Yield estimates
• GET /market-prices - Commodity prices
• POST /sustainability-score - Environmental impact
• POST /farm-planning - Seasonal planning
• GET /turbo-quant-capabilities - TurboQuant optimization status (FREE)

Support & Community#

• GitHub: https://github.com/QWarranto/leafengines-claude-mcp (v1.1.0 with TurboQuant)
• Discord: #mcp channel (Claude Discord)
• Twitter: @LeafEnginesAI (TurboQuant announcements)
• Email: Support via GitHub issues

License#

Proprietary - Commercial API service. Free tier available for testing including TurboQuant capabilities check.

TurboQuant Technology#

Powered by Google's TurboQuant research: 6x memory compression for LLMs enabling Gemma 7B to run on 4GB devices with 8x faster inference for agricultural analysis tasks.