
Connect Agro to ChatGPT, Claude and Gemini
Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Get actionable data on soil, weather, and crop health.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Your AI does the work. We keep it safe and sound.
No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.
Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

Each Connector runs inside its own sealed environment.
Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.
One switch stops every agent. Instantly.
One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.
Spending limits that pause instead of surprise.
Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.
Three controls, built into the layer your AI connects through.
Curated set · 17 capabilities
We ship only the actions that matter.
01-04
4 capabilities in this set.
Part of 17 available through AgroMonitoring.
- 01
Delete polygon
Removes a polygon from your list of defined areas of interest.
- 02
Get current soil
Retrieves the current soil moisture and temperature data for a specified location.
- 03
Get current weather
Pulls the most recent weather conditions, including temperature and precipitation, for a location.
- 04
Get historical uvi
Provides historical records of the UV Index for planning purposes.
05-08
4 capabilities in this set.
Part of 17 available through AgroMonitoring.
- 05
Get ndvi history
Fetches historical Normalized Difference Vegetation Index (NDVI) and EVI data to track crop growth.
- 06
Get polygon
Retrieves specific information about a single, existing polygon boundary.
- 07
Update polygon
Modifies the details or boundaries of an existing polygon area.
- 08
Create polygon
Establishes a new polygon boundary to mark a specific area of interest on your farm.
09-11
3 capabilities in this set.
Part of 17 available through AgroMonitoring.
- 09
Get current uvi
Checks the current UV Index to assess immediate environmental risks.
- 10
Get forecast uvi
Predicts the UV Index for upcoming days, helping with planning.
- 11
Get forecast weather
Retrieves predicted weather data, including temperature and precipitation, for the near future.
12-14
3 capabilities in this set.
Part of 17 available through AgroMonitoring.
- 12
Get historical weather
Accesses past weather records, allowing you to analyze seasonal trends.
- 13
Search imagery
Searches for available satellite imagery based on location and date.
- 14
List polygons
Generates a complete list of all polygons currently registered in your account.
15-17
3 capabilities in this set.
Part of 17 available through AgroMonitoring.
- 15
Get accumulated precipitation
Calculates the total accumulated precipitation over a specified time period.
- 16
Get accumulated temperature
Calculates the total accumulated temperature over a specified time period.
- 17
Get historical soil
Retrieves detailed historical soil data, including moisture and nutrient levels.
Real work
What teams actually run
Optimizing Irrigation Schedules
Check the current soil moisture and compare it against the accumulated precipitation data to determine if irrigation is necessary.
Planning for Pest Control
Use get_forecast_weather and get_forecast_uvi to predict optimal times for spraying or fieldwork, minimizing risk.
Analyzing Yield Decline
Retrieve historical NDVI and EVI data for a specific polygon to pinpoint when and where crop stress began.
Field Mapping and Zoning
List all polygons and use create_polygon to map new experimental plots, keeping your farm data organized.
Automate a task
Put AgroMonitoring to work on one thing.
Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.
One connector, every AI
AgroMonitoring works with the most popular AI clients.
These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.
Claude
ChatGPT
Gemini
Perplexity
Grok
Microsoft Copilot
Cursor
VS Code
Windsurf
JetBrains
Cline
LangChain
Vercel AI SDK
Lovable
Z.ai
Raycast
Qwen Code
Kimi Code
Le ChatBuilding your own app? The connector is yours to use.
You don't need a client to put AgroMonitoring to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.
Observed, not estimated
1026ms average. Fast in production.
AgroMonitoring is checked daily against the live service.
- Fastest day
- 836ms
- Slowest day
- 1281ms
- 14-day trend
- Improving-8%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 17 capabilities arrive ready to run.
Preview access · not provider authentication
The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of AgroMonitoring, so you can see the experience inside your AI.
It does not authenticate your account with AgroMonitoring. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
AgroMonitoring Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_Cke6yFspqmSysQC3GltzC663AYTMlYX4QDMubjFx/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — AgroMonitoring capabilities are ready to use.
{
"mcpServers": {
"agro-mcp": {
"url": "https://edge.vinkius.com/vk_preview_Cke6yFspqmSysQC3GltzC663AYTMlYX4QDMubjFx/mcp"
}
}
}
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Step-by-step instructions for each client are in the guide. How to connect
Guided setup for Claude? Set up AgroMonitoring in Claude and other AIs
Who it's for
Built for the work AgroMonitoring owners hand off.
This MCP is built for professionals who need deep, reliable environmental data to make farming decisions. Agronomists, farmers, and data scientists rely on this MCP to move beyond guesswork and manage resources with precision.
- 01
Agronomists
Use the MCP to monitor crop health and soil conditions across multiple fields without manual data entry.
- 02
Farmers
Get immediate access to current weather, soil moisture, and temperature metrics to optimize planting and harvesting schedules.
- 03
Data Scientists
Quickly pull historical weather and satellite indices to build models for agricultural yield prediction.
FAQ
Questions AgroMonitoring owners ask.
- 01
Does this MCP handle multiple fields?
Yes. You can list and manage multiple polygons, each representing a different field or area of interest on your property.
- 02
What kind of data can I get about crop health?
You can retrieve NDVI and EVI historical data, which tracks vegetation vigor over time. You can also search for high-resolution satellite imagery for visual confirmation.
- 03
Is the weather data current or historical?
The MCP provides all three: get_current_weather for immediate conditions, get_forecast_weather for predictions, and get_historical_weather for seasonal analysis.
- 04
Do I need to know coordinates to use the MCP?
While some capabilities require coordinates, you can also define and manage areas using polygons, which simplifies targeting specific zones.
- 05
What is the difference between NDVI and EVI?
NDVI and EVI are both indices used to measure vegetation density and health. The MCP provides historical data for both metrics, helping you track changes in plant life.
- 06
How do I define a new field for monitoring?
Use the create_polygon capability. You need to provide a name and the area's geometry in GeoJSON format (coordinates). This polygon ID will then be used for satellite and soil queries.
- 07
Can I check the historical health of my crops?
Yes! Use the get_ndvi_history capability with your Polygon ID and a time range. It returns NDVI and EVI data, which are key indicators of vegetation vigor and growth.
- 08
What kind of soil data can I retrieve?
You can use get_current_soil or get_historical_soil to get moisture levels and surface temperature for a specific polygon, helping you optimize irrigation schedules.
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Connect AgroMonitoring to Claude, Cursor, ChatGPT & more
