EOSDA Agriculture Satellite Data MCP Server
Precision agriculture satellite intelligence — access NDVI, soil moisture, and crop health via AI.
Ask AI about this MCP Server
Vinkius supports streamable HTTP and SSE.

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
What is the EOSDA MCP Server?
The EOSDA MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to EOSDA via 6 tools. Precision agriculture satellite intelligence — access NDVI, soil moisture, and crop health via AI. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.
Built-in capabilities (6)
Tools for your AI Agents to operate EOSDA
Ask your AI agent "Find Sentinel-2 images for my farm from the last month." and get the answer without opening a single dashboard. With 6 tools connected to real EOSDA data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.
Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.
Why teams choose Vinkius
One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.
Build your own MCP Server with our secure development framework →Vinkius works with every AI agent you already use
…and any MCP-compatible client


















EOSDA Agriculture Satellite Data MCP Server capabilities
6 tools) for a specific area of interest. Returns a task ID that can be used with get_task_result to retrieve results. Use get_available_indices to see all available index types. Create a vegetation index calculation task (NDVI, EVI, etc.)
Use these dataset IDs for search_dataset and create_vegetation_task. Get list of available satellite datasets
Use these index types with create_vegetation_task. Get list of available vegetation indices
Returns the processed vegetation index data, download URLs and status. Get the result of a vegetation index task
) within a date range and optional area of interest. Returns scene IDs, dates, cloud cover percentages and download URLs. Use get_available_datasets to see all dataset options. Search satellite imagery for a specific dataset
g. Sentinel-2 and Landsat 8 together). Returns scenes from all requested datasets within the date range and area of interest. Search satellite imagery across multiple datasets
What the EOSDA Agriculture Satellite Data MCP Server unlocks
Empower your AI agent with cutting-edge remote sensing capabilities via the EOSDA Agriculture MCP server. This integration provides instant access to high-resolution satellite data from Sentinel and Landsat missions, specifically processed for precision farming. Your agent can search for imagery across global datasets, calculate vegetation indices like NDVI, EVI, and MSAVI, and monitor soil moisture trends over time. Whether you are optimizing fertilizer application, auditing crop health, or monitoring land use, your agent acts as a dedicated agronomist and remote sensing specialist through natural conversation.
What you can do
- Satellite Imagery Search — Search Sentinel-2, Landsat 8/9, and MODIS datasets by date and area of interest.
- Vegetation Indices — Trigger processing tasks for NDVI (health), EVI (biomass), and other critical indices.
- Health Monitoring — Retrieve processed results to identify areas of stress or high productivity in fields.
- Dataset Intelligence — Access technical specs for available satellites including resolution and revisit times.
- AOI Analysis — Input GeoJSON areas of interest to get localized intelligence for specific farms or regions.
How it works
1. Subscribe to this server
2. Enter your EOSDA API Key (from EOS Data Analytics dashboard)
3. Start managing your precision agriculture data from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Agronomists & Farm Managers — monitor field performance and crop health without manual site visits.
- Ag-Tech Developers — integrate remote sensing data into custom farming applications.
- Sustainability Officers — track land use changes and vegetation trends over large geographic areas.
- Researchers — access historical and near real-time satellite data for agricultural studies.
Frequently asked questions about the EOSDA Agriculture Satellite Data MCP Server
What satellites are covered by this integration?
The server provides access to Sentinel-2 (high resolution), Sentinel-1 (radar), Landsat 8 and 9 (historical and medium res), and MODIS (high temporal resolution).
How do I calculate the NDVI for a specific field?
Use the create_vegetation_task tool. You need to provide the index_type as 'NDVI', the dataset_id (e.g., 'sentinel2'), and the aoi (Area of Interest) coordinates in GeoJSON format.
Is the area of interest (AOI) required for searches?
For general searches, it is optional but highly recommended to narrow down results. For index calculation tasks (create_vegetation_task), the AOI is mandatory to define the target area.
More in this category
You might also like
Connect EOSDA Agriculture Satellite Data with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Give your AI agents the power of EOSDA MCP Server
Production-grade EOSDA Agriculture Satellite Data MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.






