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

Name: INPE (STAC API - Satélites)
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect INPE (STAC API - Satélites) through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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The INPE (STAC API - Satélites) MCP Server for Pydantic 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.

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python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to INPE (STAC API - Satélites) "
            "(6 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in INPE (STAC API - Satélites)?"
    )
    print(result.data)

asyncio.run(main())

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* 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.

Pydantic AI validates every INPE (STAC API - Satélites) tool response against typed schemas, catching data inconsistencies at build time. Connect 6 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic 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 Pydantic AI

When Pydantic 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 items on INPE (STAC API - Satélites)

Search for items across collections

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

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

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 6 tools from INPE (STAC API - Satélites) with type-safe schemas

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

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

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your INPE (STAC API - Satélites) integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your INPE (STAC API - Satélites) connection logic from agent behavior for testable, maintainable code

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

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

Type-safe data pipelines: query INPE (STAC API - Satélites) with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple INPE (STAC API - Satélites) tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query INPE (STAC API - Satélites) and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock INPE (STAC API - Satélites) responses and write comprehensive agent tests

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

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

"List all available satellite data collections from INPE."

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

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

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

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

INPE (STAC API - Satélites) + Pydantic AI FAQ

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

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your INPE (STAC API - Satélites) MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.