Bring Soil Moisture
to VS Code Copilot
Create your Vinkius account to connect Ambee Soil to VS Code Copilot and start using all 5 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
Compatible with every major AI agent and IDE
What is the Ambee Soil MCP Server?
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
Built-in capabilities (5)
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
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
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
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
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
Why VS Code Copilot?
GitHub Copilot Agent mode brings Ambee Soil data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 5 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.
- —
VS Code is used by over 70% of developers. adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor
- —
Project-scoped MCP configs (
.vscode/mcp.json) let you commit server configurations to your repository, ensuring the entire team shares the same tool access - —
Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop
- —
GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services
Ambee Soil in VS Code Copilot
Why run Ambee Soil with Vinkius?
The Ambee Soil connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 5 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.

* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.




Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Ambee Soil using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Ambee Soil and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Ambee Soil to VS Code Copilot through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Ambee Soil for VS Code Copilot
Every request between VS Code Copilot and Ambee Soil is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
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.
Which VS Code version supports MCP?
MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.
How do I switch to Agent mode?
Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.
Can I restrict which MCP tools Copilot can access?
Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.
Does MCP work in VS Code Remote or Codespaces?
Yes. MCP servers configured via .vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.
MCP tools not available
Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.
Explore More MCP Servers
View all →
OpenSky Network
8 toolsTrack real-time flights, view aircraft states, and get airport arrivals/departures via OpenSky API.

Copernicus Data Space
14 toolsAccess satellite imagery and Earth observation datasets from the EU Copernicus program for environmental and geospatial analysis.

Manage your LinkedIn presence — audit organizations, posts, and profile via AI.

Vertex AI Vector Search
6 toolsBring Google's massive vector matching power to your AI agent. Search billions of semantic embeddings and administer Vertex Index endpoints directly in chat.
