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

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LangChain is the leading Python framework for composable LLM applications. Connect INPE (STAC API - Satélites) through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Ask AI about this MCP Server for LangChain

The INPE (STAC API - Satélites) MCP Server for LangChain 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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python
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "inpe-stac-api-satelites": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using INPE (STAC API - Satélites), show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(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.

LangChain's ecosystem of 500+ components combines seamlessly with INPE (STAC API - Satélites) through native MCP adapters. Connect 6 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain

When LangChain 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 LangChain via MCP

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

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save the code and run python agent.py
04

Explore tools

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

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

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

01

The largest ecosystem of integrations, chains, and agents. combine INPE (STAC API - Satélites) MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across INPE (STAC API - Satélites) queries for multi-turn workflows

INPE (STAC API - Satélites) + LangChain Use Cases

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

01

RAG with live data: combine INPE (STAC API - Satélites) tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query INPE (STAC API - Satélites), synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain INPE (STAC API - Satélites) tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every INPE (STAC API - Satélites) tool call, measure latency, and optimize your agent's performance

Example Prompts for INPE (STAC API - Satélites) in LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

INPE (STAC API - Satélites) + LangChain FAQ

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

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

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