Leaf Engines
Agricultural intelligence MCP server providing soil analysis, crop recommendations, weather forecasts, and environmental impact assessment.
What is Leaf Engines?
Leaf Engines is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to agricultural intelligence mcp server providing soil analysis, crop recommendations, weather forecasts, and environmental impact assessment.
Agricultural intelligence MCP server providing soil analysis, crop recommendations, weather forecasts, and environmental impact assessment.
This server falls under the Data Science & ML category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Agricultural intelligence MCP server providing soil analysis
Use Cases
Maintainer
Works with
Installation
NPM
npx -y @ancientwhispers54/leafengines-mcp-serverManual Installation
npx -y @ancientwhispers54/leafengines-mcp-serverConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Leaf Engines
What is Leaf Engines?
Leaf Engines is a Model Context Protocol (MCP) server that agricultural intelligence mcp server providing soil analysis, crop recommendations, weather forecasts, and environmental impact assessment. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Leaf Engines?
Install via npm with the command: npx -y @ancientwhispers54/leafengines-mcp-server. Then add the server configuration to your AI client's JSON config file (e.g., claude_desktop_config.json or .cursor/mcp.json).
Which AI clients work with Leaf Engines?
Leaf Engines works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Leaf Engines free to use?
Yes, Leaf Engines is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.
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Set Up Leaf Engines in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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