Bring Satellite Imagery
to CrewAI
Learn how to connect Maxar (Satellite Imagery) to CrewAI 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 CrewAI?
When paired with CrewAI, Maxar (Satellite Imagery) becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Maxar (Satellite Imagery) tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
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Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools
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CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the
mcpsparameter and agents auto-discover every available tool at runtime - —
Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls
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Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
Maxar (Satellite Imagery) in CrewAI
Maxar (Satellite Imagery) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Maxar (Satellite Imagery) to CrewAI 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 CrewAI
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 CrewAI 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 CrewAI
Every tool call from CrewAI 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 CrewAI discover and connect to MCP tools?
CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.
Can different agents in the same crew use different MCP servers?
Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.
What happens when an MCP tool call fails during a crew run?
CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.
Can CrewAI agents call multiple MCP tools in parallel?
CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.
Can I run CrewAI crews on a schedule (cron)?
Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.
MCP tools not discovered
Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
Agent not using tools
Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
Timeout errors
CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
Rate limiting or 429 errors
Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.
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