Orca AI FAQs

Question 1

Is an API key required to use Orca AI?

Accepted Answer

Yes, an Orca AI API key is required for authentication. This 40-alphanumeric character key can be configured flexibly via local `.orcaai.json` files within your working directory or through environment variables like `ORCA_API_TOKEN`.

Question 2

What are the key features of Orca AI?

Accepted Answer

Key features include dynamic configuration for flexible setup, seamless integration with Orca AI's HUNT API for entity searches, robust error handling with built-in retry logic and exponential backoff, and context-aware operation for automatic configuration switching.

Question 3

What is Orca AI (MCP Server)?

Accepted Answer

Orca AI is a Model Context Protocol (MCP) server that integrates AI assistants (like Claude, Gemini, Cursor) with Orca AI's HUNT Platform API. It enables AI to search and retrieve detailed information about people, companies, and other entities directly within their workflows.

Question 4

What kind of information can I search for using Orca AI?

Accepted Answer

You can search for comprehensive information on people, companies, and various entities available through Orca AI's HUNT Platform API. Results include names, raw data, values, and structured data fields from authoritative datasets for investigative intelligence.

Question 5

How do I integrate Orca AI with my AI assistant?

Accepted Answer

The Orca AI MCP server supports various AI assistants, including Claude Desktop/Code, Gemini CLI, and Cursor CLI. Integration typically involves adding a specific JSON configuration entry to your assistant's settings file, specifying the command to run the server and your API key.

Orca AI

Orca AI

Key Features

Use Cases

Key Features

Use Cases