Agricultural intelligence MCP server for Claude Desktop - soil analysis, weather data, crop predictions, and AI-powered farming recommendations
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# Plantos MCP Server Model Context Protocol (MCP) server that exposes the Plantos agricultural intelligence API as tools for Claude and other AI assistants. ## Overview This MCP server wraps the Plantos API, allowing AI assistants to: - Analyze farm locations for optimal crop selection - Get real-time soil data from SSURGO database - Fetch current weather data from NOAA - Access live commodity market prices - Chat with an agricultural advisor powered by RAG - Generate economic analysis and farming recommendations ## Available Tools ### 1. `analyze_farm_location` Comprehensive agricultural analysis for a specific location. **Inputs:** - `latitude` (number): Latitude coordinate (-90 to 90) - `longitude` (number): Longitude coordinate (-180 to 180) **Returns:** - Soil properties and insights - Weather conditions - Crop yield predictions (87% accuracy) - Live market data - Economic analysis (revenue, costs, ROI) - AI-generated recommendations ### 2. `get_soil_data` Get detailed soil properties using SSURGO database. **Inputs:** - `latitude` (number): Latitude coordinate - `longitude` (number): Longitude coordinate **Returns:** Soil texture, drainage, pH, organic matter, composition ### 3. `get_weather_data` Get current weather data from NOAA Weather.gov API. **Inputs:** - `latitude` (number): Latitude coordinate - `longitude` (number): Longitude coordinate **Returns:** Temperature, precipitation, humidity, growing degree days, wind data ### 4. `get_market_data` Get live commodity market prices from USDA and CME. **Inputs:** - `crops` (string): Comma-separated crop types (e.g., "corn,soybeans,wheat") - `latitude` (number, optional): For regional price adjustments - `longitude` (number, optional): For regional price adjustments **Returns:** Current prices, futures prices, price trends ### 5. `get_market_summary` Get comprehensive market summary with location-based insights. **Inputs:** - `latitude` (number, optional): For regional context - `longitude` …
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