Hoverfly FAQs

Question 1

What API mocking operations can be performed with Hoverfly?

Accepted Answer

You can programmatically control Hoverfly to start/stop its simulate mode, create and manage API mocks using JSON definitions, list all active mocks, and clear all existing mocks. This provides full control over your API simulations.

Question 2

What are the prerequisites for running the Hoverfly MCP Server?

Accepted Answer

To build and run the server from source, you need Java 17+ and Maven 3.6+. Alternatively, you can run it easily using Docker, which automatically handles dependencies.

Question 3

How does Hoverfly integrate with AI assistants?

Accepted Answer

Hoverfly integrates with AI assistants (e.g., Cursor, Claude, GitHub Copilot) via the Model Context Protocol (MCP). It provides a set of exposed tools that AI assistants can invoke programmatically to control API mocking functionalities.

Question 4

What is Hoverfly and its main purpose?

Accepted Answer

Hoverfly is a Spring Boot-based server that exposes Hoverfly as a programmable tool for AI assistants. Its main purpose is to enable dynamic API mocking and simulation, allowing development and testing to proceed even when external services are unavailable.

Question 5

What are the key benefits of using Hoverfly for API development?

Accepted Answer

Hoverfly unblocks development and testing workflows by providing reliable, dynamic API mocks. This means your AI assistants and applications can continue to function and be tested without dependencies on live, potentially unavailable or unstable, third-party services.

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