How to Use the INPE (STAC API - Satélites) MCP in Mastra AI

Q: How do I add INPE (STAC API - Satélites) tools to a Mastra AI agent?

Instantiate the MCPClient with the server URL and call mcpClient.listTools(). Pass these tools into your Mastra agent definition to allow the agent to run spatial queries.

Q: How do I require approval before running INPE (STAC API - Satélites) MCP Server queries in Mastra AI?

Configure requireToolApproval on the Mastra agent for tools like listcollectionitems. The agent pauses execution until you confirm the target collection and geographic coordinates.

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Connect INPE (STAC API - Satélites) MCP to Mastra AI

Create your Vinkius account to connect INPE (STAC API - Satélites) to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup INPE (STAC API - Satélites) with Mastra AI

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Automate satellite searches with Mastra AI

The `search_items` tool scans the INPE catalogs for specific geographic coordinates and acquisition dates. Mastra AI uses these search results to trigger automated pipelines, such as alerting researchers when a new, cloud-free CBERS-4A image of a target region becomes available. If the raw STAC API endpoint drops, Mastra's built-in workflow engine retries the query with exponential backoff. You register the tools by calling `mcpClient.listTools()` and spreading them directly into your agent configuration.

Validate STAC catalog conformance programmatically

The `get_conformance` tool checks the specific STAC standards supported by the Brazilian Space Research Institute. This MCP Server lets your Mastra agent verify API capabilities before attempting complex spatial queries. You can set up conditional branching in Mastra to fallback to basic catalog listing if advanced search extensions are unsupported. This prevents workflow crashes during backend API updates.

Human-in-the-loop validation for satellite collections

The `list_collection_items` tool fetches raw assets from specific satellite missions like Amazonia-1. Mastra AI allows you to require human approval before downloading large metadata payloads or triggering downstream analysis. Using `requireToolApproval` in your workflow ensures that an engineer verifies the bounding box coordinates before the agent requests detailed item records. This keeps your processing pipeline predictable and cost-effective.

Setup guide

Set up INPE (STAC API - Satélites) MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All INPE (STAC API - Satélites) tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "inpe-stac-api-satelites-mcp-client",
  servers: {
    "inpe-stac-api-satelites-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "INPE (STAC API - Satélites) Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to INPE (STAC API - Satélites) tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent INPE (STAC API - Satélites) transactions"
);
console.log(result.text);

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Common questions about INPE (STAC API - Satélites) MCP in Mastra AI

Instantiate the `MCPClient` with the server URL and call `mcpClient.listTools()`. Pass these tools into your Mastra agent definition to allow the agent to run spatial queries.

Yes, Mastra's workflow engine manages rate limiting using automatic retries. If `search_items` encounters a rate limit from the Brazilian servers, the agent backs off and retries.

Configure `requireToolApproval` on the Mastra agent for tools like `list_collection_items`. The agent pauses execution until you confirm the target collection and geographic coordinates.

No, this server exposes metadata catalog tools. It retrieves URLs, cloud cover statistics, and spatial coordinates, but does not handle raw GeoTIFF file storage.

Your spatial bounding boxes and datetime parameters are processed in an ephemeral V8 sandbox. We do not persist your geographic coordinates or catalog queries, keeping your environmental research confidential.

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