- DATA
- PIPELINE
- REPORTS
- HUMAN
Short answer
How do I pull Maxar ARD tile metadata using AI?
Your AI uses the Maxar MCP to search for and extract detailed metadata from ARD tiles. This allows you to automate the discovery phase of your geospatial analysis. You'll get specific attributes like cloud cover, timestamps, and spatial bounds directly in your chat.
Where your data lands.
The outcomes of your request.
The AI processes the Maxar request and delivers the results to these destinations.
DATA
Direct metadata extraction
The AI pulls specific ARD attributes from Maxar. You get clean, structured metadata ready for your local analysis.
PIPELINE
Automated data discovery
Your agent identifies relevant tiles based on your spatial or temporal constraints. This feeds directly into your larger processing workflows.
REPORTS
Summary of tile properties
The AI summarizes cloud cover, sensor types, and coverage areas. You can use these summaries to decide which tiles to download next.
HUMAN
Manual validation required
You must still review the metadata to ensure the spatial bounds and cloud percentages meet your specific project tolerances.
The workflow
What your AI does when the request arrives.
The AI acts as the bridge between your natural language questions and the Maxar data catalog.
Search for tiles
The AI looks through the Maxar catalog to find imagery that matches your specific area of interest or time window.
search_discoveryExtract metadata
Once a tile is found, the AI pulls the specific ARD metadata fields you asked for.
search_discoveryFilter results
The agent narrows down the list of available tiles based on your quality requirements, like maximum cloud cover.
search_discoveryFormat for output
The AI organizes the retrieved metadata into a clean format that fits your current task or script.
search_discovery
Try it
Copy these to start.
Use these prompts to begin interacting with Maxar data.
Starting points
Swap out the bracketed text for your actual coordinates or time ranges.
Maxar Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_p1feCgssJy6S9qUWiEQKml7bPyGEYsBnFyZRPLIw/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Maxar capabilities are ready to use.
{
"mcpServers": {
"maxar-satellite-imagery-mcp": {
"url": "https://edge.vinkius.com/vk_preview_p1feCgssJy6S9qUWiEQKml7bPyGEYsBnFyZRPLIw/mcp"
}
}
}Find all ARD tiles in [insert coordinates] with less than 10% cloud cover.
List the metadata for the most recent Maxar tile covering [insert location].
Search for Maxar imagery in [insert date range] and show me the cloud cover for each tile.
Get the spatial bounds and sensor info for the tile at [insert latitude, longitude].
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Maxar once, then ask.
Just click the link to connect. Your credentials stay encrypted, and you can immediately start querying Maxar through your preferred AI client.
Connect Maxar to your AIFAQ
How this task behaves.
- 01
Can the AI download the actual imagery files?
No. The AI retrieves the metadata and tile information, but it does not download the heavy image files themselves.
- 02
Can the AI change my Maxar account settings?
No. The AI can only read and search data through the provided tools. It cannot modify your account or billing information.
- 03
Does the AI handle the spatial filtering?
Yes. You can tell the AI to only look for tiles within a certain bounding box or region.
- 04
Can I use this with Cursor or VS Code?
Yes, as long as your client supports the Model Context Protocol (MCP).
- 05
Will the AI delete any of my existing data?
No. The tools provided are read-only for searching and retrieving metadata.
More questions about Maxar? See everything the Maxar Connector can do
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