Bring Satellite Imagery
to Vercel AI SDK
Learn how to connect INPE (STAC API - Satélites) to Vercel AI SDK and start using 6 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 INPE (STAC API - Satélites) MCP Server?
Connect to the INPE Brazil Data Cube and explore high-resolution satellite imagery catalogs through natural language. This server implements the STAC (SpatioTemporal Asset Catalog) specification to provide seamless access to Earth observation data from missions like CBERS, Sentinel, and Landsat.
What you can do
- Catalog Discovery — Explore the root catalog and check conformance classes of the INPE STAC server using
get_root_catalogandget_conformance. - Collection Browsing — List all available data collections (e.g., CBERS4, Sentinel-2) and fetch detailed metadata for specific ones with
list_collectionsandget_collection. - Item Listing — Retrieve specific scenes and assets within a collection using spatial (bounding box) and temporal filters via
list_collection_items. - Advanced Search — Perform cross-collection searches to find the exact satellite imagery needed for environmental monitoring or research using
search_items.
How it works
- Subscribe to this server
- Enter your Brazil Data Cube (BDC) Access Key
- Start querying satellite metadata from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Data Scientists & Researchers — Quickly find satellite scenes for specific dates and regions without manual API calls or complex scripts.
- Environmental Analysts — Monitor land use, deforestation, or agricultural changes using INPE's curated data cubes directly from your AI assistant.
- GIS Developers — Integrate satellite metadata discovery and asset retrieval directly into your development workflow.
Built-in capabilities (6)
Get detailed metadata for a specific collection
Get STAC conformance classes
Get the root STAC catalog
List items within a specific collection
g., CBERS4-WFI-16D-2, S2-16D-2). List all available data collections
Search for items across collections
Why Vercel AI SDK?
The Vercel AI SDK gives every INPE (STAC API - Satélites) tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
- —
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same INPE (STAC API - Satélites) integration everywhere
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Built-in streaming UI primitives let you display INPE (STAC API - Satélites) tool results progressively in React, Svelte, or Vue components
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Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
INPE (STAC API - Satélites) in Vercel AI SDK
INPE (STAC API - Satélites) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect INPE (STAC API - Satélites) to Vercel AI SDK 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 INPE (STAC API - Satélites) in Vercel AI SDK
The INPE (STAC API - Satélites) 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 6 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Vercel AI SDK 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
INPE (STAC API - Satélites) for Vercel AI SDK
Every tool call from Vercel AI SDK to the INPE (STAC API - Satélites) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How can I see what types of satellite data are available?
Use the list_collections tool. It will return a list of all available datasets in the INPE Brazil Data Cube, such as CBERS-4, Sentinel-2, and various synthesized data cubes.
Can I search for specific images using geographic coordinates?
Yes! Use the search_items tool and provide a bbox (bounding box) string in the format '[minx, miny, maxx, maxy]'. This allows you to find all satellite scenes covering your area of interest.
How do I get the technical metadata for a specific collection?
Use the get_collection tool with the specific collection_id (e.g., 'CBERS4-WFI-16D-2'). It will provide detailed information about the spatial extent, temporal interval, and available assets for that collection.
How does the Vercel AI SDK connect to MCP servers?
Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
Can I use MCP tools in Edge Functions?
Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
Does it support streaming tool results?
Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.
createMCPClient is not a function
Install: npm install @ai-sdk/mcp
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