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Ambee Soil

Ambee Soil MCP Server

Built by Vinkius GDPR ToolsFree for Subscribers

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

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AI AgentVinkius
High Security·Kill Switch·Plug and Play
Ambee Soil
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

What is the Ambee MCP Server?

The Ambee MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Ambee via 5 tools. Access real-time soil data via Ambee — monitor soil moisture, temperature, and properties globally for precision agriculture from any AI agent. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.

Built-in capabilities (5)

get_grid_soilget_historical_soilget_latest_soilget_soil_by_radiusget_soil_properties

Tools for your AI Agents to operate Ambee

Ask your AI agent "What is the current soil moisture and temperature at my farm in Iowa (41.8780, -93.0977)?" and get the answer without opening a single dashboard. With 5 tools connected to real Ambee data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.

Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.

Why teams choose Vinkius

One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.

Build your own MCP Server with our secure development framework →

Vinkius works with every AI agent you already use

…and any MCP-compatible client

CursorClaudeOpenAIVS CodeCopilotGoogleLovableMistralAWSCursorClaudeOpenAIVS CodeCopilotGoogleLovableMistralAWS

Ambee Soil MCP Server capabilities

5 tools
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_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_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

What the Ambee Soil MCP Server unlocks

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

1. Subscribe to this server
2. Enter your Ambee Soil API key (from the developer dashboard)
3. 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

Frequently asked questions about the Ambee Soil MCP Server

01

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.

02

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.

03

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.

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Give your AI agents the power of Ambee MCP Server

Production-grade Ambee Soil MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.