Can my AI check real-time soil moisture and temperature for my farm location?

Yes! Use the `get_latest_soil` tool with your farm latitude and longitude coordinates. The API returns current soil moisture percentage and soil temperature in Celsius. This data is updated in near real-time using satellite and sensor fusion models, making it perfect for daily irrigation decisions and crop health monitoring.

How do I get historical soil moisture trends to analyze drought patterns?

Use the `get_historical_soil` tool with your coordinates and the number of days you want to analyze (e.g., 30, 60, or 90 days). This returns daily soil moisture and temperature readings that you can use to identify drying trends, assess drought severity, and plan irrigation schedules based on historical patterns.

What soil properties are available and how can they help with crop planning?

Use the `get_soil_properties` tool to access detailed soil composition data including sand/silt/clay percentages, organic carbon content, bulk density, pH, and cation exchange capacity (CEC). These properties help determine soil texture classification, drainage capacity, nutrient retention, and optimal crop selection for your land.

Ambee Soil MCP Connector for Claude

A+

Access real-time soil data via Ambee — monitor soil moisture, temperature, and properties globally for precision agriculture from any AI agent.

5 tools Official Updated Oct 1, 2026 Official Vinkius Partner

More Details Connect to Claude

Connect your Ambee Soil API to any AI agent and take full control of real-time soil moisture tracking, temperature monitoring, historical trend analysis, and soil property assessment through natural conversation.

What you can do

Real-Time Soil Data — Get current soil moisture and temperature for any global location
Historical Trends — Analyze soil moisture and temperature patterns over past days, weeks, or months
Radius Analysis — Retrieve soil data for multiple points within a specified radius for spatial analysis
Soil Properties — Access detailed soil composition including texture, organic carbon, pH, and bulk density
Grid Mapping — Generate structured gridded soil data for GIS integration and precision agriculture mapping

How it works

Subscribe to this server
Enter your Ambee Soil API key (from the developer dashboard)
Start analyzing soil conditions from Claude, Cursor, or any MCP-compatible client

No more manual soil sensor deployment or complex data extraction. Your AI acts as a dedicated soil scientist and agronomist assistant.

Who is this for?

Farmers — monitor soil moisture for irrigation scheduling and crop health assessment
Agronomists — analyze soil properties, track historical trends, and advise on soil management
Researchers — access global soil datasets for climate studies and agricultural research
Landscapers — check soil conditions for planting optimization and maintenance planning

soil-moistureenvironmental-dataprecision-agriculturesatellite-datasensor-fusionclimate-monitoring

5 tools expose this connector's capabilities to your AI agent.

get_latest_soil

Essential for irrigation planning, crop monitoring, soil health assessment, and precision agriculture. AI agents should use this when users ask "what is the soil moisture at my farm", "check current soil temperature", or need immediate soil condition data for agricultural decision making. Get real-time soil moisture and temperature for a specific location

get_grid_soil

Returns gridded data points suitable for creating soil condition maps, GIS analysis, and spatial interpolation. Essential for precision agriculture mapping, variable rate application planning, and geospatial soil analysis. AI agents should use this when users ask "generate a soil moisture grid for mapping", "get gridded soil data for my field", or need structured spatial soil data for GIS integration. Get soil data on a structured grid for spatial analysis and mapping

get_historical_soil

Essential for analyzing soil condition trends, seasonal patterns, drought assessment, and long-term irrigation planning. AI agents should reference this when users ask "show me soil moisture trends over the past 30 days", "what was the soil temperature last week", or need historical soil data for agricultural analysis. Get historical soil moisture and temperature data for trend analysis

get_soil_by_radius

Returns an array of soil readings across the area, enabling spatial analysis of soil conditions. Essential for regional soil assessment, field variability analysis, and precision agriculture zone mapping. AI agents should use this when users ask "show me soil conditions within 10km of my location", "get soil data for my entire farm area", or need spatial soil moisture distribution analysis. Get soil data for multiple points within a radius of a location

get_soil_properties

Essential for soil classification, crop suitability analysis, fertilizer planning, and long-term soil health monitoring. AI agents should reference this when users ask "what is the soil type and pH at my location", "show me soil organic carbon content", or need comprehensive soil property data for agricultural planning. Get detailed soil physical and chemical properties for a location