Maxar Satellite Imagery MCP. Automate high-resolution earth data acquisition and ordering.
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.
Give Claude and any AI agent real-world access
Search the entire catalog for satellite images using defined locations, time ranges, and specific sensor types.
Submit formal requests to have specific multispectral or panchromatic image files delivered directly into your cloud storage.
Retrieve detailed technical information for Analysis Ready Data (ARD) tiles, helping you understand the data's processing and format.
Fetch base Uniform Resource Locator (URL) strings necessary to visualize imagery in specialized mapping applications or custom dashboards.
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What AI agents can do with Maxar (Satellite Imagery) with 4 Tools
These four tools allow you to perform every step of the geospatial workflow: from searching a location on a map, through managing complex order requirements, to finally retrieving streamable endpoints for your application.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Maxar (Satellite Imagery) MCPCreate 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...
List Order Pipelines
Retrieves the list of established processes or workflows required to successfully...
Search Discovery
Searches Maxar's catalog to find available satellite images based on specified...
Security and governance baked right in.
Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on each call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Maxar (Satellite Imagery), then connect any of our 5,200+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,200+ others, all in one place
- Add new capabilities to your AI anytime you want
- Connections are secured and governed automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog weekly
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The Pain of Geospatial Data Discovery
Today, finding one image often means logging into a portal, manually drawing a bounding box on a map interface, and then navigating through multiple tabs to see the available sensor types (WorldView-3, etc.). If you need to check five different sites across three time periods, that's hours of clicking, cross-referencing dates, and copying coordinates. You end up with a messy spreadsheet of potential assets and no guaranteed way to get them.
With this MCP, the process is conversational. Your agent handles all those manual steps behind the scenes. It accepts your location boundaries and date range as natural language input, runs the search_discovery tool instantly, and presents you only with the best options—complete with metadata on sensor type and cloud cover.
Getting Data into Your Cloud Storage
The biggest manual step is always the delivery. You find the perfect image, but then you have to go back to a separate section of the portal just to figure out how to initiate an order. You fill in forms, confirm pipelines, and wait for confirmation emails—a slow, unreliable process that breaks your workflow momentum.
Now, running create_order automates the entire request lifecycle. Your agent manages the necessary list_order_pipelines checks, submits the data product request instantly, and ensures the asset is routed directly to your specified cloud storage bucket. The image moves from potential idea to usable file with zero manual intervention.
What Maxar Satellite Imagery MCP does for your AI
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.
019e38bf-a694-7058-a005-09f2ea3651d2 How to set up Maxar Satellite Imagery MCP
The bottom line is you automate the entire lifecycle of finding, ordering, and preparing high-resolution satellite data without manual portal hopping.
Subscribe to this MCP and provide your Maxar Client ID and Client Secret credentials.
Your AI client uses these credentials to query the discovery service, narrowing down potential imagery based on user-provided location data and time filters.
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.
Who uses Maxar Satellite Imagery MCP
This MCP is for anyone whose job requires knowing what happened on the ground from space. It targets analysts who spend too much time manually searching multiple vendor portals or developers building applications that need reliable, high-quality geospatial feeds.
Needs to quickly find and inspect imagery for a specific region of interest, verifying cloud cover and sensor type before starting analysis.
Must automate the discovery and ordering of massive training datasets—like multispectral images—for machine learning models without manual data transfer.
Builds custom mapping applications that require reliable base URLs for streaming WMS or WMTS tile services, pulling the endpoints directly into code.
Benefits of connecting Maxar Satellite Imagery MCP
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.
Maxar Satellite Imagery MCP 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.
Maxar Satellite Imagery MCP tradeoffs
What to watch out for, and the recommended way to handle each one.
Manually cross-referencing data specs
The user downloads an image and then has to go to a separate documentation page to figure out if it's 8-band or multispectral.
Always use the metadata retrieval function. It provides immediate, comprehensive details about the tile, confirming band count and processing status in one step.
Guessing the required order steps
A user submits a massive data request only to find out later that they missed a prerequisite pipeline step, causing the entire job to fail.
Before creating an order, run list_order_pipelines. This shows you exactly what workflow is needed for Maxar, preventing failed requests.
Treating imagery endpoints as static links
Hardcoding a WMS URL into a map application that eventually breaks when the service updates its secure credentials.
Always use get_mws_endpoints. This retrieves the current, valid OGC-compliant base URLs that your agent can manage and update for you.
When to use Maxar Satellite Imagery MCP
Use this MCP if your primary goal is to automate data acquisition from a single source of truth: Maxar's catalog. You need an AI workflow that handles discovery, validation, ordering, and visualization endpoints all in one place. Don't use this if you only need simple search results without the ability to order or stream; then, a basic search API might suffice. Similarly, don't use it if your data comes from multiple, disparate sources (e.g., combining Maxar with Sentinel); for that, you'd need an orchestration tool like LangChain. But if your core pain point is efficiently getting the right high-resolution imagery from Maxar and into a usable format, this MCP is what you need.
Frequently asked questions about Maxar Satellite Imagery MCP
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.