Vinkius

EOSDA MCP. Translate Satellite Data into Field Action.

EOSDA connects advanced satellite imagery, weather data, and soil moisture readings directly into your AI agent. Monitor crop health trends across entire growing seasons by calculating key vegetation indices, generating visual zoning maps, and forecasting field conditions—all from a natural conversation.

EOSDA MCP is compatible with Claude Claude
EOSDA MCP is compatible with ChatGPT ChatGPT
EOSDA MCP is compatible with Cursor Cursor
EOSDA MCP is compatible with Gemini Gemini
EOSDA MCP is compatible with Windsurf Windsurf
EOSDA MCP is compatible with VS Code VS Code
EOSDA MCP is compatible with JetBrains JetBrains
EOSDA MCP is compatible with Vercel Vercel
See Vinkius in Action

Give Claude and any AI agent real-world access

Analyze field metrics

Calculates core vegetation health indices (NDVI, EVI) and tracks trends across the entire growing season.

Monitor water stress

Retrieves current soil moisture levels and generates drought impact assessments using specialized indices like NDMI.

Forecast weather impacts

Accesses long-range weather forecasts (up to 7 months) and historical climate data for risk assessment.

Visualize field zones

Generates color-coded zoning maps that segment fields by productivity or vegetation health for variable rate application planning.

Manage farm inventory

List, register, and manage multiple agricultural fields with their specific boundaries, crop types, and planting dates.

Waiting for input…

AI Agent
EOSDA

What AI agents can do with EOSDA: 12 Advanced Agriculture Tools

These tools allow you to manage the entire data lifecycle for precision agriculture—from registering fields to generating final, actionable productivity maps.

Make your AI actually useful.

Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.

Start using EOSDA MCP

Get Ndmi Timeseries

Retrieves time series data for NDMI, which helps track crop water stress and optimize irrigation timing.

Create Field

Registers new agricultural fields into the monitoring system using GeoJSON...

Get Evi Timeseries

Calculates time series data for EVI, ideal for tracking canopy development in...

Get Fields

Lists all registered monitored fields, providing boundaries, area sizes, crop types...

Get Ndvi Timeseries

Provides time series data for NDVI, which tracks overall vegetation health trends...

Render Index Map

Creates shareable visual maps that overlay color-coded vegetation index values onto specific field boundaries.

Get Satellite Imagery

Retrieves raw satellite images from sources like Sentinel-2 and Landsat, including metadata and cloud cover percentages.

Get Soil Moisture

Gathers soil moisture readings at multiple depths, along with recommendations for...

Get Vegetation Index

Calculates various vegetation indices (NDVI, EVI, NDRE, etc.) for a field and date...

Get Weather Data

Accesses extensive historical weather data, including temperature, rainfall, and...

Get Weather Forecast

Provides forward-looking weather forecasts for the field, covering everything from...

Get Zoning Map

Generates detailed zone boundaries and average index values needed for precise fertilization or targeted irrigation plans.

Security and governance baked right in.

Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.

EOSDA MCP is compatible with Claude

Claude AI

1

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.

2

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.

3

Start a conversation

Open a new chat. The EOSDA integration is available immediately — no restart needed.

Choose How to Get Started

Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.

Build Your Own

Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.

  • Import from OpenAPI, Swagger, or YAML specs
  • Create Agent Skills with progressive disclosure
  • Deploy to edge with MCPFusion framework
  • Built in DLP, auth, and compliance on each call
  • Real time usage dashboard and cost metering
  • Publish to catalog or keep private
Start building

Make Your AI Do More

Start with EOSDA, then connect any of our 5,200+ other servers whenever your AI needs more. One click, no limits.

  • Use this MCP plus 5,200+ others, all in one place
  • Add new capabilities to your AI anytime you want
  • Connections are secured and governed automatically
  • Track usage and costs across all your servers
  • Works with Claude, ChatGPT, Cursor, and more
  • New servers added to the catalog weekly
EOSDA MCP server cover

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by EOSDA. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

VINKIUS CLOUD

Cloud Hosted

Managed infra

V8 Isolated

Sandboxed per request

Zero-Trust Proxy

No stored credentials

DLP Enforced

Policy on each call

GDPR Compliant

EU data residency

Token Compression

~60% cost reduction

Your data is protected. See how we built it.

The Daily Grind of Field Analysis

Today, assessing a farm's health means jumping between at least five different platforms: the weather service dashboard, the satellite imagery portal, the soil mapping database, and your internal spreadsheet. You download raw band files, calculate an index in Excel, then upload that to another system just to generate a final map. It’s tedious, slow, and you lose time cross-referencing data sets.

With this MCP connected through Vinkius, those steps disappear. You just tell your agent what you want—say, 'How is the crop doing right now?' The AI handles the sequence: it pulls raw imagery, runs multiple calculations like get_vegetation_index, compares historical trends using get_ndvi_timeseries, and spits out a clear summary without you touching a single dashboard.

Generating Productivity Zoning Maps

Before, creating management zones required specialized GIS software and deep knowledge of variable rate application (VRA) protocols. You had to manually define thresholds and run complex spatial queries across different layers.

Now, you simply ask for a zoning map using get_zoning_map. The MCP processes the data, defines productivity levels based on your chosen index, and returns a ready-to-use map that tells you exactly where to focus resources.

What EOSDA MCP does for your AI

Need to analyze what's really happening in the fields? This MCP lets you bypass complex GIS software and massive datasets. You connect your agent through Vinkius, and suddenly, satellite data becomes conversational. You can ask your AI client things like, 'How has the moisture content changed since last month?' or 'Show me a map of where the productivity is lowest.' It handles everything: retrieving raw imagery from multiple sources, calculating advanced vegetation indices (like NDVI and EVI) over time, pulling historical weather records spanning decades, and even generating precise zoning maps for targeted treatments.

Forget manual data pulls and spreadsheet cross-referencing. Your AI agent acts as a dedicated precision ag analyst, giving you actionable insights on everything from irrigation needs to yield predictions.

Built · Hosted · Managed by Vinkius EOSDA - Satellite Crop Monitoring & Weather Data
Server ID 019d7591-146b-7066-ae2d-a7a9a508481c
Vinkius Inspector
Compliance Grade A+
Score 100/100
Vinkius Inspector Badge — Score 100/100

Frequently asked questions about EOSDA MCP

How do I start monitoring my fields with EOSDA? Using get_fields? +

You first use the get_fields tool to list your existing monitored plots. This gives you a baseline inventory, including boundaries and current crop types, so your agent knows what data to pull for analysis.

Can I compare different vegetation indices with EOSDA? Using get_vegetation_index? +

Yes, this MCP supports over 17 indices. You can ask the agent to calculate NDVI alongside EVI and NDRE simultaneously to get a multi-faceted view of crop health.

What if I need historical weather data? Does EOSDA support it? +

The get_weather_data tool accesses records spanning back decades. You can analyze temperature, precipitation, and other parameters from 1979 onward for deep seasonal comparisons.

Is the soil moisture data real-time? Can I use get_soil_moisture? +

The get_soil_moisture tool provides readings at various depths, helping you schedule irrigation. It gives you specific data points for root zone monitoring rather than just a general estimate.

How far in advance can I plan with this MCP? Using get_weather_forecast? +

The system is robust enough to provide forecasts ranging from 15 days out all the way up to seven months. This helps optimize seasonal planting and harvesting windows.