Bring Satellite Imagery
to LangChain
Learn how to connect Maxar (Satellite Imagery) to LangChain 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 LangChain?
LangChain's ecosystem of 500+ components combines seamlessly with Maxar (Satellite Imagery) through native MCP adapters. Connect 4 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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The largest ecosystem of integrations, chains, and agents. combine Maxar (Satellite Imagery) MCP tools with 500+ LangChain components
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Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
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LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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Memory and conversation persistence let agents maintain context across Maxar (Satellite Imagery) queries for multi-turn workflows
Maxar (Satellite Imagery) in LangChain
Maxar (Satellite Imagery) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Maxar (Satellite Imagery) to LangChain 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 LangChain
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 LangChain 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 LangChain
Every tool call from LangChain 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 LangChain connect to MCP servers?
Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
Which LangChain agent types work with MCP?
All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
Can I trace MCP tool calls in LangSmith?
Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.
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Install: pip install langchain-mcp-adapters
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