Is Leafengines MCP Server safe to use?

Leafengines MCP Server has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.

How do I install Leafengines MCP Server?

Leafengines MCP Server supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.

What can Leafengines MCP Server do?

Leafengines MCP Server provides 10 tools: soil_analysis, crop_recommendations, weather_forecasts, environmental_impact, turbo_quant_capabilities and 5 more. See the full tools list on the server page for descriptions and parameters.

What AI clients work with Leafengines MCP Server?

Leafengines MCP Server is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.

Is Leafengines MCP Server actively maintained?

Leafengines MCP Server is actively maintained — last commit was 8 days ago. It has 4 GitHub stars.

Leafengines MCP Server

@ancientwhispers54/leafengines-mcp-server

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

4 76/wk 10 tools GitHub npm

No known CVEs

No license

Actively maintained

Last commit 8d ago

Works with most clients

Transport: stdio, sse, http

10 tools · ~484 tok

Grade A · 0.2% of 200K ctx

Edit this pageView history

AI / ML Data

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio, sse, http · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

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

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/io-github-qwarranto-leafengines)](https://mcppedia.org/s/io-github-qwarranto-leafengines)

Read me

What Leafengines MCP Server does

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

Test This Server

Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.

npx -y '@ancientwhispers54/leafengines-mcp-server' 2>&1 | head -1 && echo "✓ Server started successfully"

After testing, let us know if it worked:

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

89/100across 5 weighted dimensions

How we score →

0255075100

−11

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

Checked @ancientwhispers54/leafengines-mcp-server against OSV.dev.

Inventory

Tools (10)

Click any tool to inspect its schema.

~484 tokens total

Help improve this page

This server is missing a description.If you've used it, help the community.

Add information

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is Leafengines MCP Server safe to use?: Leafengines MCP Server has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install Leafengines MCP Server?: Leafengines MCP Server supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What can Leafengines MCP Server do?: Leafengines MCP Server provides 10 tools: soil_analysis, crop_recommendations, weather_forecasts, environmental_impact, turbo_quant_capabilities and 5 more. See the full tools list on the server page for descriptions and parameters.
What AI clients work with Leafengines MCP Server?: Leafengines MCP Server is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.
Is Leafengines MCP Server actively maintained?: Leafengines MCP Server is actively maintained — last commit was 8 days ago. It has 4 GitHub stars.

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Community

Discussion

Start a conversation

Ask a question, share a tip, or report an issue.

Has anyone used this with Cursor?How do you handle auth?Any alternatives?

Edit this pageView history

AI / ML Data

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio, sse, http · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

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

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/io-github-qwarranto-leafengines)](https://mcppedia.org/s/io-github-qwarranto-leafengines)

Read me

What Leafengines MCP Server does

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

Test This Server

Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.

npx -y '@ancientwhispers54/leafengines-mcp-server' 2>&1 | head -1 && echo "✓ Server started successfully"

After testing, let us know if it worked:

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.

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

🌾 Features

🛡️ 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

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
Market Prices - Agricultural commodity prices
Sustainability Score - Environmental impact assessment

Quick Start

Option 1: MCP Server (Claude Desktop)

# Install globally
npm install -g @ancientwhispers54/leafengines-mcp-server

# Run the server
leafengines-mcp-server

MCP Registry: io.github.QWarranto/leafengines version 1.1.5

Option 2: OpenClaw Skill

# Install via ClawHub (available now)
clawhub install leafengines

# Or manually add to skills directory

Option 3: Direct API

## 🚀 **TRY IT NOW - NO API KEY NEEDED!**

### **Free Tier Access (Immediate):**
- **Soil analysis** for any US county
- **No signup required** - just use test key leaf-test-370df0a2e62e, (if requested)
- **Instant value** - get USDA soil data in seconds

### **Quick Test (30 seconds):**
```bash
# Try it right now - no

... [View full README on GitHub](https://github.com/QWarranto/leafengines-claude-mcp#readme)

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

89/100across 5 weighted dimensions

How we score →

0255075100

−11

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

Checked @ancientwhispers54/leafengines-mcp-server against OSV.dev.

Inventory

Tools (10)

Click any tool to inspect its schema.

~484 tokens total

Help improve this page

This server is missing a description.If you've used it, help the community.

Add information

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is Leafengines MCP Server safe to use?: Leafengines MCP Server has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install Leafengines MCP Server?: Leafengines MCP Server supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What can Leafengines MCP Server do?: Leafengines MCP Server provides 10 tools: soil_analysis, crop_recommendations, weather_forecasts, environmental_impact, turbo_quant_capabilities and 5 more. See the full tools list on the server page for descriptions and parameters.
What AI clients work with Leafengines MCP Server?: Leafengines MCP Server is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.
Is Leafengines MCP Server actively maintained?: Leafengines MCP Server is actively maintained — last commit was 8 days ago. It has 4 GitHub stars.