How do I connect my own fields to this MCP?

You use the add_field capability to register your field's boundaries, crop type, and planting date. Once registered, your agent can monitor that field using satellite data.

Can the AI see my crops if it is cloudy?

Yes. The agent can use the SAR analysis capability, which uses Synthetic Aperture Radar to penetrate cloud cover for all-weather monitoring.

What kind of satellites does Farmonaut use?

The MCP provides access to data from Sentinel-2, Landsat, and PlanetScope satellites.

Which AI clients can I use with this?

You can use this MCP with any compatible client, including Claude, Cursor, and Windsurf.

Do I need to be a GIS expert to use this?

No. The whole point of this MCP is to let you use natural language to get the same data a GIS expert would, without the complex software.

Can my AI calculate NDVI for my rice field and show me the crop health trend?

Yes! Use the get_ndvi capability with your field ID and date range (e.g., date_from=2025-04-01, date_to=2025-10-31). This returns NDVI values for each satellite overpass from Sentinel-2, Landsat, or PlanetScope, showing vegetation health progression. You can also use get_crop_advisory for AI-powered recommendations based on the NDVI trends and current growth stage.

How do I get soil moisture and weather forecast data to plan irrigation?

Use get_soil_moisture with your field ID and date range to check current soil moisture levels at root zone depth. Combine with get_weather_forecast (forecast_range=7_days or 15_days) to see upcoming precipitation. Together these capabilities help determine if and when irrigation is needed. For AI-powered irrigation recommendations, use get_crop_advisory with advisory_type=irrigation.

Can I monitor my crops during cloudy season when optical satellites cannot see?

Yes! Use the get_sar_analysis capability which uses Synthetic Aperture Radar (SAR) data that penetrates clouds and works day/night. SAR provides backscatter values, soil moisture estimates, and crop structure information regardless of weather conditions. This is essential for monitoring in tropical regions, monsoon seasons, or any cloudy conditions where optical satellites like Sentinel-2 cannot provide clear imagery.

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Connect Farmonaut 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. Turn your AI agent into a dedicated farm analyst.

Ask AI about this Connector

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.

V8 Isolate01

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.

Kill Switch02

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.

FinOps per User03

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 · 12 capabilities

We ship only the actions that matter.

Capability set01 / 03

01-04

4 capabilities in this set.

Part of 12 available through Farmonaut.

01
Get satellite images
Retrieves true-color, false-color, and NDVI overlay images. Use this to get visual confirmation of field conditions from multiple satellite providers.
02
Add field
Registers a new agricultural field for satellite monitoring using GeoJSON boundaries or coordinates. You provide the field name, crop type, and planting date to start tracking.
03
Get crop advisory
Generates data-driven recommendations for irrigation, fertilization, and pest control. It turns satellite data into actionable field operations.
04
Get deforestation alerts
Detects tree cover loss and land clearing using satellite imagery. Your agent uses this to monitor environmental compliance or sudden land use changes.

Capability set02 / 03

05-08

4 capabilities in this set.

Part of 12 available through Farmonaut.

05
Get evi
Calculates the EVI enhanced vegetation index for better accuracy in high-biomass or dense canopy areas. It helps track growth where NDVI might struggle.
06
Get fields
Lists all registered agricultural fields in your account. It provides boundaries, areas, crop types, and current monitoring status.
07
Get ndvi
Calculates the NDVI vegetation index to measure crop health and vigor. It returns statistical data and acquisition dates from various satellite sources.
08
Get ndwi
Analyzes the NDWI water index to monitor vegetation water content. This is how your agent determines irrigation needs and water stress levels.

Capability set03 / 03

09-12

4 capabilities in this set.

Part of 12 available through Farmonaut.

09
Get sar analysis
Provides Synthetic Aperture Radar analysis that works through cloud cover. This allows for all-weather monitoring of crop structure and soil moisture.
10
Get soil moisture
Provides soil moisture levels at the surface, root zone, and deep soil levels. Your agent uses this data to schedule irrigation and monitor drought.
11
Get weather forecast
Retrieves weather forecasts ranging from 7 days to 3 months. Use this to plan planting schedules and harvest windows.
12
Get weather
Accesses historical and current weather data including temperature, precipitation, and solar radiation. Your agent uses this to model disease risk and frost.

Real work

What teams actually run

Irrigation Optimization

Your agent checks soil moisture and weather forecasts to tell you exactly when to turn on the water.

Crop Stress Detection

The agent monitors NDVI trends to alert you to declining plant health before it is visible to the eye.

Land Use Monitoring

Conservationists use the agent to get alerts when tree cover loss is detected in protected areas.

Harvest Planning

The agent uses growth stage data and weather forecasts to estimate the best harvest windows.

Automate a task

Put Farmonaut 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

Farmonaut 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.

Building your own app? The connector is yours to use.

You don't need a client to put Farmonaut 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

974ms average. Fast in production.

Farmonaut is checked daily against the live service.

Daily averagePeak 1045ms

Oct 15Today

Fastest day: 949ms
Slowest day: 1045ms
14-day trend: Slowing+10%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 12 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 Farmonaut, so you can see the experience inside your AI.

It does not authenticate your account with Farmonaut. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Farmonaut Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_feXVkwBoQ7HbICusf0WF8Hr7rtEYe6aJtynJgguc/mcp

Claude 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 — Farmonaut capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "farmonaut-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_feXVkwBoQ7HbICusf0WF8Hr7rtEYe6aJtynJgguc/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 Farmonaut in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Farmonaut owners hand off.

This MCP is built for professionals managing large-scale agricultural operations or environmental conservation projects.

01
Farm Managers
They hand off field monitoring and irrigation scheduling to the agent to optimize inputs.
02
Agronomists
They use the agent to analyze vegetation indices and detect early signs of crop stress.
03
Conservation Teams
They use the agent to monitor for deforestation and ensure environmental compliance.

FAQ

Questions Farmonaut owners ask.

01
How do I connect my own fields to this MCP?
You use the add_field capability to register your field's boundaries, crop type, and planting date. Once registered, your agent can monitor that field using satellite data.
02
Can the AI see my crops if it is cloudy?
Yes. The agent can use the SAR analysis capability, which uses Synthetic Aperture Radar to penetrate cloud cover for all-weather monitoring.
03
What kind of satellites does Farmonaut use?
The MCP provides access to data from Sentinel-2, Landsat, and PlanetScope satellites.
04
Which AI clients can I use with this?
You can use this MCP with any compatible client, including Claude, Cursor, and Windsurf.
05
Do I need to be a GIS expert to use this?
No. The whole point of this MCP is to let you use natural language to get the same data a GIS expert would, without the complex software.
06
Can my AI calculate NDVI for my rice field and show me the crop health trend?
Yes! Use the get_ndvi capability with your field ID and date range (e.g., date_from=2025-04-01, date_to=2025-10-31). This returns NDVI values for each satellite overpass from Sentinel-2, Landsat, or PlanetScope, showing vegetation health progression. You can also use get_crop_advisory for AI-powered recommendations based on the NDVI trends and current growth stage.
07
How do I get soil moisture and weather forecast data to plan irrigation?
Use get_soil_moisture with your field ID and date range to check current soil moisture levels at root zone depth. Combine with get_weather_forecast (forecast_range=7_days or 15_days) to see upcoming precipitation. Together these capabilities help determine if and when irrigation is needed. For AI-powered irrigation recommendations, use get_crop_advisory with advisory_type=irrigation.
08
Can I monitor my crops during cloudy season when optical satellites cannot see?
Yes! Use the get_sar_analysis capability which uses Synthetic Aperture Radar (SAR) data that penetrates clouds and works day/night. SAR provides backscatter values, soil moisture estimates, and crop structure information regardless of weather conditions. This is essential for monitoring in tropical regions, monsoon seasons, or any cloudy conditions where optical satellites like Sentinel-2 cannot provide clear imagery.

Explore

More in The Unthinkable

Connect Farmonaut to Claude, Cursor, ChatGPT & more

Your AI does the work. We keep it safe and sound.

Each Connector runs inside its own sealed environment.

One switch stops every agent. Instantly.

Spending limits that pause instead of surprise.

We ship only the actions that matter.

01-04

Get satellite images

Add field

Get crop advisory

Get deforestation alerts

05-08

Get evi

Get fields

Get ndvi

Get ndwi

09-12

Get sar analysis

Get soil moisture

Get weather forecast

Get weather

What teams actually run

Irrigation Optimization

Crop Stress Detection

Land Use Monitoring

Harvest Planning

Building your own app? The connector is yours to use.

Farmonaut Connector

Claude Desktop

Farm Managers

Agronomists

Conservation Teams

How do I connect my own fields to this MCP?

Can the AI see my crops if it is cloudy?

What kind of satellites does Farmonaut use?

Which AI clients can I use with this?

Do I need to be a GIS expert to use this?

Can my AI calculate NDVI for my rice field and show me the crop health trend?

How do I get soil moisture and weather forecast data to plan irrigation?

Can I monitor my crops during cloudy season when optical satellites cannot see?

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