EOSDA Agriculture Satellite Data MCP Server for Mastra AI 6 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect EOSDA Agriculture Satellite Data through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
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Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"eosda-agriculture-satellite-data": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "EOSDA Agriculture Satellite Data Agent",
instructions:
"You help users interact with EOSDA Agriculture Satellite Data " +
"using 6 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with EOSDA Agriculture Satellite Data?"
);
console.log(result.text);
}
main();
* 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
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.
Mastra's agent abstraction provides a clean separation between LLM logic and EOSDA Agriculture Satellite Data tool infrastructure. Connect 6 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the EOSDA Agriculture Satellite Data MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 6 tools from EOSDA Agriculture Satellite Data via MCP
Why Use Mastra AI with the EOSDA Agriculture Satellite Data MCP Server
Mastra AI provides unique advantages when paired with EOSDA Agriculture Satellite Data through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add EOSDA Agriculture Satellite Data without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every EOSDA Agriculture Satellite Data tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
EOSDA Agriculture Satellite Data + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the EOSDA Agriculture Satellite Data MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query EOSDA Agriculture Satellite Data, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed EOSDA Agriculture Satellite Data as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query EOSDA Agriculture Satellite Data on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using EOSDA Agriculture Satellite Data tools alongside other MCP servers
EOSDA Agriculture Satellite Data MCP Tools for Mastra AI (6)
These 6 tools become available when you connect EOSDA Agriculture Satellite Data to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting EOSDA Agriculture Satellite Data to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpEOSDA Agriculture Satellite Data + Mastra AI FAQ
Common questions about integrating EOSDA Agriculture Satellite Data MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect EOSDA Agriculture Satellite Data with your favorite client
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Connect EOSDA Agriculture Satellite Data to Mastra AI
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.