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PopNx MCPMCP servers for people who use AI · explained in plain words

Leafengines

by QWarrantoversion 2.0.8i★ –iRuns on your computer
Registry nameio.github.QWarranto/leafengines

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other
  • You need to fill in: LEAFENGINES_API_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: LEAFENGINES_API_KEY

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "leafengines": {
      "command": "npx",
      "args": [
        "-y",
        "@ancientwhispers54/leafengines-mcp-server"
      ],
      "env": {
        "LEAFENGINES_API_KEY": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add leafengines --env LEAFENGINES_API_KEY=your-value -- npx -y @ancientwhispers54/leafengines-mcp-server

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "leafengines": {
      "command": "npx",
      "args": [
        "-y",
        "@ancientwhispers54/leafengines-mcp-server"
      ],
      "env": {
        "LEAFENGINES_API_KEY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "leafengines": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@ancientwhispers54/leafengines-mcp-server"
      ],
      "env": {
        "LEAFENGINES_API_KEY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • LEAFENGINES_API_KEY secret env
    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)

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account QWarranto, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 32655 servers in this category
  • Published to the registry more recently than 13% of the other 32655 servers in this category
  • Basic checks equal to or better than 100% of the other 32655 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Leafengines safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: LEAFENGINES_API_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (2.0.8) reached the registry 5 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, SuperCollider

Alternatives

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Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated 2 days ago
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Runs on your computerUpdated today
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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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

🌐 Links

Only the beginning is shown; read the rest in the repo

Ask PopNx