SkyFi FAQs

Question 1

What is SkyFi and how does it help AI agents?

Accepted Answer

SkyFi is an official Model Context Protocol (MCP) server that allows AI agents to interact with satellite imagery platforms using natural language. Agents can search, price, order, and monitor satellite imagery through conversational tool calls, streamlining geospatial data acquisition.

Question 2

Can I test SkyFi's order workflow without placing real satellite imagery orders?

Accepted Answer

Yes, SkyFi includes a powerful simulation mode. You can activate it by setting the 'SKYFI_SIMULATE=true' environment variable when running locally, or by passing '"simulate": true' within quote/execute tool calls, allowing you to test the full order flow safely.

Question 3

What security measures does SkyFi implement for API keys?

Accepted Answer

SkyFi prioritizes API key security by using a token exchange model where raw API keys are sent once and exchanged for a session token. Keys are encrypted at rest, and the system employs per-request isolation, rate limiting, and prompt injection defenses to protect your credentials and operations.

Question 4

How does SkyFi ensure order safety and prevent accidental purchases?

Accepted Answer

SkyFi enforces a robust two-step order confirmation process. Agents must first 'quote' an order to receive a valid 'quote_id', then provide this ID along with 'user_confirmed: true' and an 'idempotency_key' to 'execute' the order. This is enforced server-side for maximum safety.

Question 5

What kind of cost intelligence features does SkyFi offer?

Accepted Answer

SkyFi provides a 'recommend_archive_purchase' tool that offers cost intelligence. This tool ranks imagery options by price/quality strategy, allowing AI agents to make informed purchase recommendations and even apply budget filtering for efficient decision-making.

SkyFi

SkyFi

Key Features

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Key Features

Use Cases