How to Use the Maxar (Satellite Imagery) MCP in LlamaIndex

Index high-res Maxar satellite data into your LlamaIndex knowledge base for semantic retrieval and context.

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Connect Maxar (Satellite Imagery) MCP to LlamaIndex

Create your Vinkius account to connect Maxar (Satellite Imagery) to LlamaIndex 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 Maxar (Satellite Imagery) with LlamaIndex

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Index Maxar imagery metadata for retrieval

Convert `search_discovery` results into searchable nodes within your LlamaIndex vector store. This lets you query your historical satellite data logs using natural language. Stop digging through CSVs or logs. The agent indexes the catalog metadata, so you can ask about past imagery coverage without writing a single query.

Ground responses in live ARD tile data

Use `get_ard_tile` to fetch data that LlamaIndex then indexes as part of your RAG context. Your agent answers questions based on the actual tile specs, not guesses. It keeps your data current. When you query your index, you're looking at the latest metadata returned by the server.

Query MWS endpoints using semantic search

Store your `get_mws_endpoints` configurations in your knowledge base. When your system needs a stream, it searches the index to find the right endpoint for the task. This removes the need for hardcoded URLs. Your agent retrieves the correct service location dynamically based on the requested region or sensor.

Setup guide

Set up Maxar (Satellite Imagery) MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Maxar (Satellite Imagery) MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Maxar (Satellite Imagery) tools.",
)
response = await agent.run("List recent Maxar (Satellite Imagery) data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Maxar. 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 Maxar (Satellite Imagery) MCP in LlamaIndex

The MCP tool output is passed to your ingestion pipeline. LlamaIndex creates vector embeddings for the metadata returned.

No. By indexing the live tool output, the agent grounds its answers in the actual data retrieved from the API.

If you save the tool outputs to your index, you can query them later. LlamaIndex treats these as part of your persistent knowledge.

Vinkius handles the auth layer. Your agent only sees the data returned by the server via the MCP protocol.

You pass your geometry constraints to the discovery tool. LlamaIndex helps you manage the resulting data structure.

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