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

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Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect INPE (STAC API - Satélites) through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Ask AI about this MCP Server for Mastra AI

The INPE (STAC API - Satélites) MCP Server for Mastra AI 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 { 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: {
      "inpe-stac-api-satelites": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "INPE (STAC API - Satélites) Agent",
    instructions:
      "You help users interact with INPE (STAC API - Satélites) " +
      "using 6 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with INPE (STAC API - Satélites)?"
  );
  console.log(result.text);
}

main();
INPE (STAC API - Satélites)
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 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.

Mastra's agent abstraction provides a clean separation between LLM logic and INPE (STAC API - Satélites) tool infrastructure. Connect 6 tools through 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

  • 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 Mastra AI 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 Mastra AI

When Mastra AI 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 Mastra AI via MCP

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

01

Install dependencies

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

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

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

Explore tools

Mastra discovers 6 tools from INPE (STAC API - Satélites) via MCP

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

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

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add INPE (STAC API - Satélites) without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every INPE (STAC API - Satélites) tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

INPE (STAC API - Satélites) + Mastra AI Use Cases

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

01

Automated workflows: build multi-step agents that query INPE (STAC API - Satélites), process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed INPE (STAC API - Satélites) as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query INPE (STAC API - Satélites) on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using INPE (STAC API - Satélites) tools alongside other MCP servers

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

Ready-to-use prompts you can give your Mastra AI 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 Mastra AI

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

01

createMCPClient not exported

Install: npm install @mastra/mcp

INPE (STAC API - Satélites) + Mastra AI FAQ

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

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

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