AgroMonitoring Connector for AI agents.
17 live capabilities
Monitor crop health and soil metrics with precision agriculture data.
Waiting for input…
Why people use AgroMonitoring
Agro for Precision Agriculture Monitoring
With this Connector, your AI agent does the heavy lifting. You can ask one question and get the moisture, temperature, and weather forecast for a specific plot of land in one go. You get a unified view of your land's health without the tab-switching headache.
What Vinkius changes
You get a direct line to field-level environmental data without leaving your chat interface.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Checking Irrigation Needs
A farmer asks the agent if they need to water the north field based on current moisture and tomorrow's forecast.
- Real-world use case 02
Crop Health Audit
An agronomist asks for the NDVI history of a vineyard to see where growth is lagging.
- Real-world use case 03
Weather Planning
A farm manager asks for the UV index and temperature for the next three days to schedule outdoor work.
Complete set · 17capabilities
The complete AgroMonitoring capability set.
These are the exact actions your AI can choose when you ask it to work with AgroMonitoring.
01—04
4 capabilities in this set.
Part of 17 available through AgroMonitoring.
- 01 Capability
Delete polygon
Remove a specific area of interest from your records. This keeps your list of fields clean and organized.
- 02 Capability
Get current soil
Get the current moisture and temperature for the soil. Use this to decide if you need to water your crops.
- 03 Capability
Get current weather
Pull the latest weather data for a specific location. Use this to check current conditions for your fields.
- 04 Capability
Get historical uvi
Retrieve historical UV index records. This helps you track seasonal sun intensity.
05—08
4 capabilities in this set.
Part of 17 available through AgroMonitoring.
- 05 Capability
Get historical weather
Pull past weather data for a specific location. Use this to compare current seasons to previous years.
- 06 Capability
Get ndvi history
Retrieve historical NDVI and EVI crop health indices. Use this to track growth progress over time.
- 07 Capability
Get polygon
Fetch the details and info for a single polygon. Use this to see the specific data for one field.
- 08 Capability
Search imagery
Find available satellite imagery for a specific area. Use this to get a bird's eye view of your land.
09—11
3 capabilities in this set.
Part of 17 available through AgroMonitoring.
- 09 Capability
Update polygon
Modify the details of an existing area of interest. Use this to fix or change your field boundaries.
- 10 Capability
List polygons
Show a list of all your registered field polygons. Use this to see every area you are currently monitoring.
- 11 Capability
Get current uvi
Provide the current UV index for a given area. This helps you monitor sun exposure for workers and crops.
12—14
3 capabilities in this set.
Part of 17 available through AgroMonitoring.
- 12 Capability
Create polygon
Define a new area of interest for monitoring. Use this to map out new fields or experimental plots.
- 13 Capability
Get accumulated precipitation
Retrieve total rainfall data for a specific period. This is useful for tracking irrigation needs.
- 14 Capability
Get accumulated temperature
Get the total temperature accumulation for a region. Use this to monitor heat levels over time.
15—17
3 capabilities in this set.
Part of 17 available through AgroMonitoring.
- 15 Capability
Get forecast uvi
Provide the predicted UV index for upcoming days. Use this to plan safe outdoor work windows.
- 16 Capability
Get forecast weather
Fetch upcoming weather forecasts for a location. This helps you prepare for upcoming weather changes.
- 17 Capability
Get historical soil
Pull past soil moisture and temperature data. Use this to analyze long-term soil trends.
Set up in minutes
One URL. Then ask AgroMonitoring to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use AgroMonitoring from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_Cke6yFspqmSysQC3GltzC663AYTMlYX4QDMubjFx/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it AgroMonitoring, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable AgroMonitoring for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_Cke6yFspqmSysQC3GltzC663AYTMlYX4QDMubjFx/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the AgroMonitoring URL.
- Step 03
Save and start
Save the connection and enable AgroMonitoring in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"agro": {
"url": "https://edge.vinkius.com/vk_preview_Cke6yFspqmSysQC3GltzC663AYTMlYX4QDMubjFx/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using AgroMonitoring
Open Agent mode in chat and ask: "Using AgroMonitoring, help me...". 17 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"agro": {
"url": "https://edge.vinkius.com/vk_preview_Cke6yFspqmSysQC3GltzC663AYTMlYX4QDMubjFx/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using AgroMonitoring
Ask Copilot: "Using AgroMonitoring, help me...". 17 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"agro": {
"url": "https://edge.vinkius.com/vk_preview_Cke6yFspqmSysQC3GltzC663AYTMlYX4QDMubjFx/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using AgroMonitoring
Open Cascade and ask: "Using AgroMonitoring, help me...". 17 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"agro": {
"url": "https://edge.vinkius.com/vk_preview_Cke6yFspqmSysQC3GltzC663AYTMlYX4QDMubjFx/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using AgroMonitoring
Ask Cline: "Using AgroMonitoring, help me...". 17 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add agro --transport http "https://edge.vinkius.com/vk_preview_Cke6yFspqmSysQC3GltzC663AYTMlYX4QDMubjFx/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using AgroMonitoring
Ask Claude: "Using AgroMonitoring, show me...". 17 tools are ready
Where the request belongs
Work AgroMonitoring can move forward.
This is for the people who need to make high-stakes decisions about land management. It's for the agronomist who is tired of manual data entry and the farmer who needs to know if they need to turn on the irrigation system right now.
Agronomist
Uses the Connector to generate reports on crop health across multiple regions to advise on fertilizer and water usage.
Farm Manager
Checks daily soil moisture and temperature alerts to coordinate irrigation schedules.
AgTech Developer
Pulls historical weather and satellite data to build and test new agricultural modeling software.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsOneSoil
Manage agricultural fields, monitor crop health via NDVI, and access hyper-local weather data directly from your AI agent.
Geopard Agriculture
Universal precision agriculture intelligence. monitor fields, crop health, and NDVI via AI.
Farmonaut
Access satellite agriculture data via Farmonaut. monitor crop health with NDVI, weather, soil moisture, crop advisory, and deforestation alerts from any AI agent.
EOSDA
Access satellite agriculture data via EOSDA. monitor crop health, vegetation indices, weather, soil moisture, and generate zoning maps from any AI agent.
Ambee Soil
Access real-time soil data via Ambee. monitor soil moisture, temperature, and properties globally for precision agriculture from any AI agent.
EOSDA Agriculture Satellite Data
Precision agriculture satellite intelligence. access NDVI, soil moisture, and crop health via AI.
Bring your own AI
Change the model, client or framework. Keep AgroMonitoring connected.
-
Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about AgroMonitoring.
The practical details behind the request, access and result.
Can I use the Agro MCP to monitor specific areas of my farm?
Yes, you can define specific polygons for different fields or plots. This allows your agent to give you precise data for each unique area of your land.
Does the Agro MCP provide satellite imagery?
Yes, it can search for and retrieve available satellite imagery. This helps you get a bird's eye view of your land's health and layout.
How does the Agro MCP help with irrigation?
It pulls real-time soil moisture and temperature data for your fields. This allows you to decide exactly when and where to water your crops based on actual ground conditions.
Can I see historical data with the Agro MCP?
Yes, it provides historical records for weather, soil moisture, and UV intensity. You can use this to compare current conditions against past seasons.
Is the Agro MCP good for large-scale farming?
Yes, it is designed for precision agriculture. It helps manage large areas by providing field-level metrics that are usually hard to track manually.
Can I manage my field boundaries using the Agro MCP?
Yes, you can create, list, and update polygons. This makes it easy to organize your land into distinct, manageable areas for your AI agent to monitor.
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.
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.
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.
One connection away
Give your agent a direct line to AgroMonitoring.
Connect AgroMonitoring once. Keep it beside 5,900+ managed Connectors when the next task needs more.
Explore every Connector No credit card required · Free tier available