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.

EOSDA Agriculture Satellite Data MCP Server for OpenAI Agents SDK 6 tools — connect in under 2 minutes

Name: EOSDA Agriculture Satellite Data
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 6 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect EOSDA Agriculture Satellite Data through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="EOSDA Agriculture Satellite Data Assistant",
            instructions=(
                "You help users interact with EOSDA Agriculture Satellite Data. "
                "You have access to 6 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from EOSDA Agriculture Satellite Data"
        )
        print(result.final_output)

asyncio.run(main())

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About EOSDA Agriculture Satellite Data MCP Server

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.

The OpenAI Agents SDK auto-discovers all 6 tools from EOSDA Agriculture Satellite Data through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries EOSDA Agriculture Satellite Data, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.

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.

The EOSDA Agriculture Satellite Data MCP Server exposes 6 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect EOSDA Agriculture Satellite Data to OpenAI Agents SDK via MCP

Follow these steps to integrate the EOSDA Agriculture Satellite Data MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 6 tools from EOSDA Agriculture Satellite Data

Why Use OpenAI Agents SDK with the EOSDA Agriculture Satellite Data MCP Server

OpenAI Agents SDK provides unique advantages when paired with EOSDA Agriculture Satellite Data through the Model Context Protocol.

Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

EOSDA Agriculture Satellite Data + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the EOSDA Agriculture Satellite Data MCP Server delivers measurable value.

Automated workflows: build agents that query EOSDA Agriculture Satellite Data, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents — one queries EOSDA Agriculture Satellite Data, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through EOSDA Agriculture Satellite Data tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query EOSDA Agriculture Satellite Data to resolve tickets, look up records, and update statuses without human intervention

EOSDA Agriculture Satellite Data MCP Tools for OpenAI Agents SDK (6)

These 6 tools become available when you connect EOSDA Agriculture Satellite Data to OpenAI Agents SDK via MCP:

create_vegetation_task

) 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.)

get_available_datasets

Use these dataset IDs for search_dataset and create_vegetation_task. Get list of available satellite datasets

get_available_indices

Use these index types with create_vegetation_task. Get list of available vegetation indices

get_task_result

Returns the processed vegetation index data, download URLs and status. Get the result of a vegetation index task

search_dataset

) 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

search_multi_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

Example Prompts for EOSDA Agriculture Satellite Data in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with EOSDA Agriculture Satellite Data immediately.

"Find Sentinel-2 images for my farm from the last month."

"Calculate the NDVI for this area: [GeoJSON coords]."

"What is the resolution of Landsat 8 satellite data?"

Troubleshooting EOSDA Agriculture Satellite Data MCP Server with OpenAI Agents SDK

Common issues when connecting EOSDA Agriculture Satellite Data to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

EOSDA Agriculture Satellite Data + OpenAI Agents SDK FAQ

Common questions about integrating EOSDA Agriculture Satellite Data MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.