INPE (STAC API - Satélites) MCP Server for LlamaIndexGive LlamaIndex 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

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LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add INPE (STAC API - Satélites) as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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The INPE (STAC API - Satélites) MCP Server for LlamaIndex 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 llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to INPE (STAC API - Satélites). "
            "You have 6 tools available."
        ),
    )

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

asyncio.run(main())

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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.

LlamaIndex agents combine INPE (STAC API - Satélites) tool responses with indexed documents for comprehensive, grounded answers. Connect 6 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex

When LlamaIndex 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 LlamaIndex via MCP

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

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

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)

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

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

Data-first architecture: LlamaIndex agents combine INPE (STAC API - Satélites) tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain INPE (STAC API - Satélites) tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query INPE (STAC API - Satélites), a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what INPE (STAC API - Satélites) tools were called, what data was returned, and how it influenced the final answer

INPE (STAC API - Satélites) + LlamaIndex Use Cases

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

Hybrid search: combine INPE (STAC API - Satélites) real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query INPE (STAC API - Satélites) to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying INPE (STAC API - Satélites) for fresh data

Analytical workflows: chain INPE (STAC API - Satélites) queries with LlamaIndex's data connectors to build multi-source analytical reports

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

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

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

INPE (STAC API - Satélites) + LlamaIndex FAQ

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

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query INPE (STAC API - Satélites) tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

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