# Maxar Satellite Imagery MCP

> Maxar Satellite Imagery connects you to high-resolution earth intelligence, letting your AI client search massive discovery catalogs and manage data orders without leaving your workflow. You can pinpoint specific regions using spatial bounding boxes, check for available multispectral or panchromatic imagery, and retrieve the exact endpoints needed for visualization in any GIS application.

## Overview
- **Category:** industry-titans
- **Price:** Free
- **Tags:** satellite-imagery, gis, remote-sensing, geospatial-data, earth-observation

## Description

Maxar is a primary source for high-resolution satellite imagery. This MCP lets you pull earth intelligence directly into your AI agent's workflow, automating the painful process of data acquisition. Instead of navigating complex vendor portals, your client handles the discovery and ordering steps automatically. You can query Maxar’s massive catalog by defining precise geographic areas and time frames. Once you find what you need, your agent doesn't stop there; it manages the entire delivery chain—from listing necessary order pipelines to requesting that specific data product be delivered right to your cloud storage. Need to visualize it? The MCP retrieves OGC-compliant base URLs for streaming services, which your GIS application can immediately consume. Because Vinkius hosts this connection, you don't need to learn a dozen different vendor APIs; you connect once and gain access to Maxar’s full suite of geospatial data tools.

## Tools

### create_order
Submits a request for specific data products, directing the final imagery files to your designated cloud storage bucket.

### get_mws_endpoints
Fetches the base web service URLs (WMS/WMTS) needed for visualizing imagery in external GIS tools.

### list_order_pipelines
Retrieves the list of established processes or workflows required to successfully order and receive data from Maxar.

### search_discovery
Searches Maxar's catalog to find available satellite images based on specified location boundaries and time frames.

## Prompt Examples

**Prompt:** 
```
Search for available satellite imagery in the bbox [-122.5, 37.7, -122.3, 37.8] from the last 6 months.
```

**Response:** 
```
I've searched the Maxar Discovery Service. I found several high-quality images from the WV03_VNIR collection. The most recent one was captured on 2024-05-15 with 0% cloud cover. Would you like the full metadata for this item?
```

**Prompt:** 
```
Get the streaming endpoints for Maxar Web Services.
```

**Response:** 
```
I have retrieved the OGC endpoints for you. You can use the following base URLs for streaming: WMS: `https://securewatch.maxar.com/mapservice/wms...` and WMTS: `https://securewatch.maxar.com/mapservice/wmts...`. You will need to append your credentials to these URLs for use in GIS tools.
```

**Prompt:** 
```
Retrieve metadata for the ARD tile with ID '1234567890'.
```

**Response:** 
```
Fetching ARD tile metadata... Tile '1234567890' is part of the 'Bay Area' dataset, processed on 2024-01-10. It includes 8-band multispectral data and has been orthorectified to UTM Zone 10N.
```

## Capabilities

### Discover available imagery
Search the entire catalog for satellite images using defined locations, time ranges, and specific sensor types.

### Request data product delivery
Submit formal requests to have specific multispectral or panchromatic image files delivered directly into your cloud storage.

### Get geospatial metadata
Retrieve detailed technical information for Analysis Ready Data (ARD) tiles, helping you understand the data's processing and format.

### Obtain streaming URLs
Fetch base Uniform Resource Locator (URL) strings necessary to visualize imagery in specialized mapping applications or custom dashboards.

## Use Cases

### Assessing disaster impact across a wide area
A humanitarian organization needs to check the extent of damage in three different states last month. They ask their agent to search_discovery using bounding boxes for all three areas and filter by date, instantly compiling a list of available images from multiple locations.

### Training an AI model on rare land cover types
A climate scientist needs thousands of high-resolution multispectral samples. They use the agent to review all potential order pipelines and then execute create_order for specific data products, automatically populating their training dataset in a single batch run.

### Building a live-updating public dashboard
A city planner needs a real-time visualization feed of zoning changes. They use get_mws_endpoints to grab the WMS/WMTS base URLs, allowing their application to pull map tiles without manual intervention.

### Validating data sources for research
A university researcher needs to know exactly how a historical tile was processed. They use the metadata retrieval function on a specific tile ID to confirm its orthorectification status and sensor details, ensuring scientific integrity.

## Benefits

- Stop manually hopping between vendor websites. By using the search_discovery tool, your agent finds imagery in minutes using only coordinates and dates, eliminating hours of manual catalog browsing.
- Never lose a data asset again. The create_order tool automates the delivery process, ensuring that once you find the perfect image, it gets placed directly into your cloud storage for immediate use.
- Build better maps faster. Instead of needing an API key and endpoint documentation, get_mws_endpoints provides the exact base URLs required to power custom tile layers in any mapping application.
- Understand data quality instantly. When you run metadata checks via ARD tile retrieval, you confirm if the imagery is multispectral or panchromatic—details critical for your models but painful to track manually.
- Streamline complex workflows. The list_order_pipelines tool gives visibility into Maxar's ordering requirements upfront, preventing failed data requests and saving significant time.

## How It Works

The bottom line is you automate the entire lifecycle of finding, ordering, and preparing high-resolution satellite data without manual portal hopping.

1. Subscribe to this MCP and provide your Maxar Client ID and Client Secret credentials.
2. Your AI client uses these credentials to query the discovery service, narrowing down potential imagery based on user-provided location data and time filters.
3. The agent executes the next step—whether that's listing order pipelines or requesting a specific data product delivery—and returns actionable URLs or metadata to your workflow.

## Frequently Asked Questions

**How do I start searching for imagery using Maxar Satellite Imagery MCP?**
You begin by invoking the search_discovery tool, providing your geographic boundaries (bbox) and a time range. The agent will return a list of available collections that match your criteria.

**What is the difference between create_order and searching with Maxar Satellite Imagery MCP?**
search_discovery only finds what's available; it doesn't acquire it. You use create_order when you have identified a specific image set and need to initiate the formal request for that data product delivery.

**How do I get streaming endpoints using Maxar Satellite Imagery MCP?**
You call the get_mws_endpoints tool. This fetches the base WMS or WMTS URLs, which you then incorporate into your custom mapping application code for live visualization.

**Do I need to worry about ordering pipelines when using Maxar Satellite Imagery MCP?**
Yes, it's best practice. You should use list_order_pipelines first. This ensures your agent knows the required steps and prerequisites for a successful data delivery.

**Can I find metadata for an ARD tile with Maxar Satellite Imagery MCP?**
Yes, detailed metadata retrieval is possible using the appropriate function call. You'll get technical facts like multispectral band count and orthorectification details.