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

Q: How do I register the INPE (STAC API - Satélites) MCP Server tools in AutoGen?

Use the autogen-extmcp package to import the tools via the MCP adapter. Pass the resulting tool list into your AssistantAgent constructor, and the adapter will handle the schema translation automatically.

Q: How do AutoGen agents handle errors from the INPE (STAC API - Satélites) server?

If a tool call like listcollectionitems returns an error due to invalid coordinates, the executing agent posts the raw error back to the group. Another agent can then correct the bounding box format and retry the call.

Let your AutoGen agents debate and verify Brazilian satellite metadata before executing spatial analyses using this MCP Server.

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Connect INPE (STAC API - Satélites) MCP to AutoGen

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Setup INPE (STAC API - Satélites) with AutoGen

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Perplexity

Multi-agent debate over satellite data selection

The `list_collections` tool allows your research agent to pull available satellite datasets so your validation agent can verify them. The validator runs `get_collection` to check if the spatial coverage matches your target area before executing a pipeline. This team-based approach prevents your system from running expensive processing pipelines on the wrong datasets. The agents debate the merits of CBERS-4 versus Amazonia-1 before agreeing on a final query path.

Verify MCP Server conformance automatically

The `get_conformance` tool lets a specialized system agent verify the backend capabilities of the MCP Server. If the API undergoes maintenance or changes its supported standards, the agent flags it immediately using `get_root_catalog`. This automated check ensures your main conversation agents do not waste API requests or fail during complex spatial search operations. The agents resolve the compatibility issue internally before reporting back to you.

Collaborative spatial search and cataloging

The `search_items` tool enables one agent to find relevant satellite scenes while a second agent calls `list_collection_items` to extract specific asset download URLs. They work in tandem to build a curated catalog of cloud-free imagery. By dividing the labor, your AutoGen team handles large geospatial datasets without hitting rate limits or timing out. The conversation flow ensures each step is verified before the next agent takes over.

Setup guide

Set up INPE (STAC API - Satélites) MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes INPE (STAC API - Satélites) tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="INPE (STAC API - Satélites)_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent INPE (STAC API - Satélites) data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="INPE (STAC API - Satélites)_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent INPE (STAC API - Satélites) data")
    print(result.messages[-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by INPE (STAC API). All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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

Use the `autogen-ext[mcp]` package to import the tools via the MCP adapter. Pass the resulting tool list into your `AssistantAgent` constructor, and the adapter will handle the schema translation automatically.

Yes, all agents in your AutoGen group chat can access tools like `search_items` and `get_collection`. They can share the outputs in their conversation history to collaborate on finding the right satellite scenes.

If a tool call like `list_collection_items` returns an error due to invalid coordinates, the executing agent posts the raw error back to the group. Another agent can then correct the bounding box format and retry the call.

We recommend using the Streamable HTTP transport provided by the Vinkius platform. It handles authentication and connection pooling automatically, allowing your agents to focus on executing tools like `list_collections`.

Yes, all geospatial coordinates and search parameters are encrypted in transit using TLS 1.3 and executed within a secure, zero-trust host. No external party can inspect the bounding boxes or temporal filters your agents use to query the INPE catalogs.

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