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Farmonaut MCP, Ready to Go

Use the Farmonaut MCP with Claude or Cursor to monitor crop health, soil moisture, and weather via satellite data for precision agriculture.

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No credit card required. Experience the power of this integration risk-free.

Monitor crop health and soil moisture using satellite data.

Farmonaut MCP for AI Agents

Works with every AI agent you already use

…and any MCP-compatible client

Cursor AI Code EditorClaude Desktop AppOpenAI Agents SDKVisual Studio CodeGitHub Copilot AI AgentGoogle Gemini AILovable AI DevelopmentMistral AI AgentsAmazon AWS Bedrock

How fast is the Farmonaut MCP Server?

826ms Fast
Fast Acceptable Slow

Average time for the server to become ready for requests over the last 13 days, measured until the initialize / tools/list handshake completes. Metrics are updated daily between 00:00 and 04:00 UTC. Create a free account, use this MCP on Vinkius Cloud, and connect it to your AI agent in seconds.

Min 590ms
Average 826ms
Max 1576ms
Trend (improving) ↓ 24%
Daily latency
1306ms 7/6/2026
1576ms 7/7/2026
965ms 7/8/2026
740ms 7/9/2026
762ms 7/10/2026
840ms 7/11/2026
1104ms 7/12/2026
797ms 7/13/2026
708ms 7/14/2026
821ms 7/15/2026
828ms 7/16/2026
590ms 7/17/2026
672ms 7/18/2026
7/6/2026 7/18/2026

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AI Agent

What AI agents can do with Farmonaut MCP: 12 Satellite Agriculture Tools

Query vegetation indices, weather, soil moisture, and deforestation alerts using your AI agent.

Get soil moisture

Get soil moisture levels at various depths. This helps you decide exactly when to turn on the irrigation and avoid overwatering.

Get weather forecast

Retrieve weather forecasts for the next few days or months. Use this to plan your planting schedules and protect against frost.

Get weather

Pull historical and current weather data for your fields. This is useful for modeling pest pressure and predicting crop yields.

Add field

Register a new agricultural field by providing its boundaries and crop type. This allows you to expand your monitored acreage instantly.

Get crop advisory

Get specific recommendations for irrigation, fertilizer, and pest control. This helps you make data-driven decisions on how to manage your crops.

Get deforestation alerts

Identify tree cover loss and land-use changes in your area. Use this to stay compliant with conservation rules and monitor land changes.

Get evi

Calculate the Enhanced Vegetation Index for high-biomass crops. This helps you monitor dense canopies that are harder to see with standard indices.

Get fields

List all your monitored fields with their boundaries and crop types. Use this to get a quick overview of your entire farm operation.

Get ndvi

Calculate the Normalized Difference Vegetation Index to monitor plant health. This helps you spot crop stress and growth stages across your acreage.

Get ndwi

Analyze water content in your crops to detect water stress. Use this to plan more efficient irrigation and manage drought conditions.

Get sar analysis

Access Synthetic Aperture Radar data to see through clouds and at night. This ensures you get consistent monitoring regardless of the weather.

Get satellite images

Retrieve visual satellite images like true-color and NDVI overlays. Use these to perform a visual inspection of your fields from your desk.

One MCP enables access. Vinkius turns MCPs into production-ready infrastructure.

You're looking at one of 5,700+ managed MCPs. The real value isn't the catalog. It's the control plane that secures, governs, audits, and manages every interaction between your agents and the tools they use.

01

No Shadow AI

Every agent action is visible, approved, and auditable. Nothing runs outside your governance.

02

Absolute agent control

Fine-grained permissions for every agent, MCP, and tool. Instantly revoke access and audit every execution.

03

Cost control per token

Spend broken down to the token, tool, and agent. Budgets and hard limits. No surprise invoices.

04

Managed & monitored infra

We operate the runtime, authentication, scaling, retries, and monitoring. Your team manages AI, not infrastructure.

05

Data protection, DLP by design

Sensitive data is filtered before reaching the model. Access is governed so agents receive only the information they're allowed to use.

06

Token optimization, real savings

Lower AI costs by delivering the right context instead of unnecessary tools. Better accuracy, faster responses, and fewer wasted tokens.

Farmonaut MCP for Satellite Crop Monitoring

This is for the farm manager who needs to oversee hundreds of acres without being physically present at every fence line. It's for the agronomist who wants to spot crop stress before it's visible to the naked eye.

Farm Manager

Checks soil moisture and weather across all fields to plan daily labor and water usage.

Agronomist

Analyzes NDVI and EVI trends to provide precise nutrient recommendations to clients.

Conservation Officer

Monitors remote areas for illegal logging or land clearing using deforestation alerts.

Frequently Asked Questions

Can I use the Farmonaut MCP to monitor my crops from anywhere? +

Yes. You can ask your AI agent for updates on any field registered in your Farmonaut account. You'll get real-time health stats and weather info on your phone or laptop.

Does this MCP work if it's cloudy or raining? +

Yes, it uses SAR analysis which can see through clouds and at night. This means you don't have to wait for a clear day to get an update on your field's status.

How does the Farmonaut MCP help with irrigation? +

It pulls soil moisture data at different depths and compares it with local weather forecasts. Your agent can then tell you exactly when to turn on the water to save costs and resources.

Can I use Farmonaut MCP for something other than farming? +

It's primarily for agriculture, but it also includes deforestation alerts. Conservation teams use it to monitor land use changes and tree cover loss in protected areas.

What kind of satellite data does the Farmonaut MCP use? +

It connects to several major sources including Sentinel-2, Landsat, and PlanetScope. Your agent can pull different types of imagery like NDVI overlays or true-color photos.

Is it hard to set up the Farmonaut MCP? +

Not at all. You just need your Farmonaut API key. Once you add that to your AI client, you can start asking questions about your fields immediately.

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

Yes! Use the get_ndvi tool 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 tools 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 tool 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.

Your AI, connected to everything.

No credit card required · Free tier available

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