Mmcp.market

Leafengines MCP server

by QWarranto·io.github.QWarranto/leafengines·v2.0.8

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

B78/100grade B
What users say
No reviews yet
Be the first
Safety scan
B78/100

full report

Adoption
Growing

5 stars72 downloads/wk

Reviews

Write one

Nobody has reviewed Leafengines yet.

If you have run it, two minutes of your experience saves the next person an afternoon.

Leafengines tools (8)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • agricultural_intelligence

    ENHANCED TIER ($0.003/call): AI-powered agricultural insights combining soil, climate, and crop science. Get planting recommendations, yield predictions, risk assessments, and sustainability scores.

  • analyze_soil

    Analyze soil characteristics and get recommendations for a specific location. Provide county FIPS code (5 digits) or county name and state.

  • assess_environmental_impact

    Assess environmental impact and sustainability metrics.

  • check_turboquant

    Check if TurboQuant capabilities are available for a location (FREE).

  • county_lookup

    COMMODITIZED TIER ($0.001/call): Resolve US location names to FIPS codes. Search by county name, state, or FIPS code. Returns county details needed for other LeafEngines tools.

  • get_soil_data

    COMMODITIZED TIER ($0.001/call): Get USDA SSURGO soil analysis for any US county. Returns pH, nutrients, organic matter, drainage, and texture. Perfect for Claude when you need: agricultural planning, environmental assessments, land evaluation, or basic soil composition data. Optional: county_name and state_code (helpful if you have them from county_lookup).

  • get_weather_forecast

    Get weather forecast for agricultural planning.

  • recommend_crop

    Get crop recommendations based on soil analysis and environmental factors.

Public scan report

scanner v0.1.9 · 2026-09-26 · same rubric, same numbers if you re-run it

no findings
  • Code scan20 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitystatic API keys via environment variables6/15
  • Maintenancelast push 76 days ago12/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
Overall 78/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

What the publisher says

From the Leafengines repository's README, as published. We do not edit it. Read it on GitHub

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

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Install directly

Runs npx -y @ancientwhispers54/leafengines-mcp-server on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add leafengines -- npx -y @ancientwhispers54/leafengines-mcp-server
Add to Cursor

Leafengines: common questions

Is Leafengines MCP server safe?
Mostly: it is graded B (78/100). Read the Leafengines safety report
How do I install Leafengines?
It runs on your machine. Copy the Claude Code, Claude Desktop or Cursor config from the install section.
Does Leafengines need an API key?
Yes. The registry entry asks for LEAFENGINES_API_KEY.
Is Leafengines maintained?
The last commit was 76 days ago (2026-07-12). The latest release is v2.0.8.
What can I use instead of Leafengines?
Servers from other publishers that do the same job: Weather Data MCP Server, Noaa Spaceweather MCP server and Smarter Weather MCP server. Compare all Leafengines alternatives.

Alternatives to Leafengines

Same job from other publishers: the closest match first, then the best rated.

All Leafengines alternatives →
  • Weather Data MCP Server
    17 weather tools, no API keys: forecasts, alerts, air quality, marine, radar, lightning, wildfires
    A
  • Noaa Spaceweather
    NOAA SWPC space weather: storm scales, Kp index, aurora forecasts, solar wind, activity, alerts.
    A
  • Smarter Weather
    Smarter Weather MCP: forecasts, alerts, outlooks, observations, AQI, grids, and map imagery.
    A
  • Open-Meteo Weather
    Current weather and hourly forecasts for any place name, via the free Open-Meteo API. No API key.
    A
  • Weather for Grown Ups
    Operational NWP, ensembles, AI weather models, regional forecasts, history, and verification.
    A

More from QWarranto →