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INPE (STAC API - Satélites) MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 6 tools to Get Collection, Get Conformance, Get Root Catalog, and more

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The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect INPE (STAC API - Satélites) through 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 for Vercel AI SDK

The INPE (STAC API - Satélites) MCP Server for Vercel AI SDK is a standout in the Government Public Data category — giving your AI agent 6 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

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typescript
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 INPE (STAC API - Satélites), list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
INPE (STAC API - Satélites)
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About INPE (STAC API - Satélites) MCP Server

Connect to the INPE Brazil Data Cube and explore high-resolution satellite imagery catalogs through natural language. This server implements the STAC (SpatioTemporal Asset Catalog) specification to provide seamless access to Earth observation data from missions like CBERS, Sentinel, and Landsat.

The Vercel AI SDK gives every INPE (STAC API - Satélites) tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 tools through 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

  • Catalog Discovery — Explore the root catalog and check conformance classes of the INPE STAC server using get_root_catalog and get_conformance.
  • Collection Browsing — List all available data collections (e.g., CBERS4, Sentinel-2) and fetch detailed metadata for specific ones with list_collections and get_collection.
  • Item Listing — Retrieve specific scenes and assets within a collection using spatial (bounding box) and temporal filters via list_collection_items.
  • Advanced Search — Perform cross-collection searches to find the exact satellite imagery needed for environmental monitoring or research using search_items.

The INPE (STAC API - Satélites) MCP Server exposes 6 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 6 INPE (STAC API - Satélites) tools available for Vercel AI SDK

When Vercel AI SDK connects to INPE (STAC API - Satélites) through Vinkius, your AI agent gets direct access to every tool listed below — spanning satellite-imagery, stac-api, earth-observation, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

get

Get collection on INPE (STAC API - Satélites)

Get detailed metadata for a specific collection

get

Get conformance on INPE (STAC API - Satélites)

Get STAC conformance classes

get

Get root catalog on INPE (STAC API - Satélites)

Get the root STAC catalog

list

List collection items on INPE (STAC API - Satélites)

List items within a specific collection

list

List collections on INPE (STAC API - Satélites)

g., CBERS4-WFI-16D-2, S2-16D-2). List all available data collections

search

Search items on INPE (STAC API - Satélites)

Search for items across collections

Connect INPE (STAC API - Satélites) to Vercel AI SDK via MCP

Follow these steps to wire INPE (STAC API - Satélites) into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 6 tools from INPE (STAC API - Satélites) and passes them to the LLM

Why Use Vercel AI SDK with the INPE (STAC API - Satélites) MCP Server

Vercel AI SDK provides unique advantages when paired with INPE (STAC API - Satélites) through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same INPE (STAC API - Satélites) integration everywhere

03

Built-in streaming UI primitives let you display INPE (STAC API - Satélites) tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

INPE (STAC API - Satélites) + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the INPE (STAC API - Satélites) MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query INPE (STAC API - Satélites) in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate INPE (STAC API - Satélites) tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed INPE (STAC API - Satélites) capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with INPE (STAC API - Satélites) through natural language queries

Example Prompts for INPE (STAC API - Satélites) in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with INPE (STAC API - Satélites) immediately.

01

"List all available satellite data collections from INPE."

02

"Search for satellite items in the bounding box [-48, -16, -47, -15] for the year 2023."

03

"Get details for the collection 'CBERS4-WFI-16D-2'."

Troubleshooting INPE (STAC API - Satélites) MCP Server with Vercel AI SDK

Common issues when connecting INPE (STAC API - Satélites) to Vercel AI SDK through Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

INPE (STAC API - Satélites) + Vercel AI SDK FAQ

Common questions about integrating INPE (STAC API - Satélites) MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

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