How to Use the INPE (STAC API - Satélites) MCP in OpenAI Agents SDK

Q: How do I search for CBERS-4 data using INPE (STAC API - Satélites) in my OpenAI Agents SDK project?

Use the searchitems tool. Pass your bounding box and time range as arguments to the tool, and the agent will return the relevant item list.

Q: How do I handle connection errors when using this MCP Server?

Check your endpoint URL in the MCPServerStreamableHttp constructor. If the server is unreachable, your agent will raise an exception during the tool invocation.

Get direct access to Brazilian satellite imagery with the OpenAI Agents SDK and this MCP Server.

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Connect INPE (STAC API - Satélites) MCP to OpenAI Agents SDK

Create your Vinkius account to connect INPE (STAC API - Satélites) to OpenAI Agents SDK 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 OpenAI Agents SDK

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Browse satellite collections

Use `list_collections` to pull the full list of available sensor data directly into your agent flow. This gives your agent a map of what imagery is actually on the table before it tries to query anything. Once you have the collection ID, use `get_collection` to inspect the metadata schema. It tells your agent exactly what parameters it can filter by, ensuring your production code doesn't guess field names.

Query imagery with precision

Trigger `search_items` to pull specific satellite captures based on coordinates and time. Your OpenAI agent handles the JSON response immediately without needing extra parsing logic. If you need to see every capture within a specific dataset, `list_collection_items` provides the granular view. This is how you build a reliable data pipeline without manual data entry.

Verify API standards

Call `get_conformance` to check which STAC extensions the INPE server supports. This ensures your agent logic stays within the bounds of the API’s capabilities. Use `get_root_catalog` to confirm your connection is active and pointing to the right entry point. It's a quick handshake that keeps your agent runtime predictable and stable.

Setup guide

Set up INPE (STAC API - Satélites) MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all INPE (STAC API - Satélites) tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives INPE (STAC API - Satélites) tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate INPE (STAC API - Satélites) tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="INPE (STAC API - Satélites) Agent",
            instructions="You have access to INPE (STAC API - Satélites) tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about INPE (STAC API - Satélites) MCP in OpenAI Agents SDK

Use the `search_items` tool. Pass your bounding box and time range as arguments to the tool, and the agent will return the relevant item list.

Yes. Since the tools are auto-discovered, your agent can decide which collection to query based on the prompt. It maps your natural language request to the required API parameters.

Absolutely. You can wrap the MCP tool calls in your existing guardrail logic. This prevents the agent from requesting data outside your permitted geographic bounds.

Check your endpoint URL in the `MCPServerStreamableHttp` constructor. If the server is unreachable, your agent will raise an exception during the tool invocation.

Your queries are processed in memory within your agent session. The INPE server only receives the specific search parameters you define in your code.

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