Bring Satellite Imagery
to Pydantic AI
Learn how to connect Maxar (Satellite Imagery) to Pydantic AI and start using 4 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Maxar (Satellite Imagery) MCP Server?
Connect to Maxar, the world leader in high-resolution satellite imagery, and integrate earth intelligence directly into your AI workflows. This server allows you to query the Maxar Discovery Service, manage orders, and access OGC-compliant streaming services.
What you can do
- Imagery Discovery — Search for available satellite imagery using spatial bounding boxes, temporal filters, and specific satellite collections (like WorldView-3).
- Product Ordering — Request delivery of specific imagery products (visual, multispectral, or panchromatic) directly to your cloud storage.
- ARD Metadata — Retrieve detailed metadata for Analysis Ready Data (ARD) tiles to streamline your geospatial analysis.
- Streaming Access — Get base URLs for OGC-compliant streaming services (WMS, WMTS) to visualize imagery in GIS applications or custom dashboards.
How it works
- Subscribe to this server
- Enter your Maxar Client ID and Client Secret
- Start querying the planet from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Geospatial Analysts — Quickly find and inspect imagery for specific regions without leaving your analysis environment.
- Data Scientists — Automate the discovery and ordering of training data for machine learning models.
- GIS Developers — Retrieve streaming endpoints and tile metadata to power custom mapping applications.
Built-in capabilities (4)
Order specific data products
Get ARD Tile Metadata
Get Maxar Web Services (MWS) endpoints
Search for available satellite imagery
Why Pydantic AI?
Pydantic AI validates every Maxar (Satellite Imagery) tool response against typed schemas, catching data inconsistencies at build time. Connect 4 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
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Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Maxar (Satellite Imagery) integration code
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Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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Dependency injection system cleanly separates your Maxar (Satellite Imagery) connection logic from agent behavior for testable, maintainable code
Maxar (Satellite Imagery) in Pydantic AI
Maxar (Satellite Imagery) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Maxar (Satellite Imagery) to Pydantic AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Maxar (Satellite Imagery) in Pydantic AI
The Maxar (Satellite Imagery) MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 4 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Pydantic AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
Maxar (Satellite Imagery) for Pydantic AI
Every tool call from Pydantic AI to the Maxar (Satellite Imagery) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I search for satellite imagery in a specific geographic area?
You can use the search_discovery tool by providing a bounding box (bbox) array with [min_lon, min_lat, max_lon, max_lat] coordinates and an optional datetime interval.
Can I get streaming links for use in GIS software like QGIS or ArcGIS?
Yes! Use the get_mws_endpoints tool to retrieve the base URLs for OGC-compliant WMS and WMTS services provided by Maxar Web Services.
What information is required to order a specific image?
To use the create_order tool, you need the unique item_id of the image, the desired product_type (e.g., visual), and a delivery_config JSON specifying the destination.
How does Pydantic AI discover MCP tools?
Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
Does Pydantic AI validate MCP tool responses?
Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
Can I switch LLM providers without changing MCP code?
Absolutely. Pydantic AI abstracts the model layer. your Maxar (Satellite Imagery) MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.
MCPServerHTTP not found
Update: pip install --upgrade pydantic-ai
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