EOSDA Agriculture Satellite Data MCP Server for Vercel AI SDK 6 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect EOSDA Agriculture Satellite Data through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token — get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using EOSDA Agriculture Satellite Data, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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.
The Vercel AI SDK gives every EOSDA Agriculture Satellite Data tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 tools through the Vinkius and stream results progressively to React, Svelte, or Vue components — works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI 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 Vercel AI SDK via MCP
Follow these steps to integrate the EOSDA Agriculture Satellite Data MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 6 tools from EOSDA Agriculture Satellite Data and passes them to the LLM
Why Use Vercel AI SDK with the EOSDA Agriculture Satellite Data MCP Server
Vercel AI SDK provides unique advantages when paired with EOSDA Agriculture Satellite Data through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime — same EOSDA Agriculture Satellite Data integration everywhere
Built-in streaming UI primitives let you display EOSDA Agriculture Satellite Data tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
EOSDA Agriculture Satellite Data + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the EOSDA Agriculture Satellite Data MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query EOSDA Agriculture Satellite Data in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate EOSDA Agriculture Satellite Data tools and return structured JSON responses to any frontend
Chatbots with tool use: embed EOSDA Agriculture Satellite Data capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with EOSDA Agriculture Satellite Data through natural language queries
EOSDA Agriculture Satellite Data MCP Tools for Vercel AI SDK (6)
These 6 tools become available when you connect EOSDA Agriculture Satellite Data to Vercel AI 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI 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 Vercel AI SDK
Common issues when connecting EOSDA Agriculture Satellite Data to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpEOSDA Agriculture Satellite Data + Vercel AI SDK FAQ
Common questions about integrating EOSDA Agriculture Satellite Data MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.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.
Connect EOSDA Agriculture Satellite Data to Vercel AI SDK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.