Mocking made easy, create dynamic mocks, proxy your API and choose which endpoints to mock


  • Choose how to manage your mocks
    • Use a simple web UI for speed
    • Use HCL files for documentation and versioning
  • Proxy your real API: Requests will be passed through to it unless there's a mock
  • Create dynamic mocks using Handlebars (more here)
  • Easy to deploy: You can deploy it in containers or even using a CLI
  • Really, really fast. Run your tests as fast as you can.

Use cases

  • Mocking integrations for tests, non-productive environments or local development
  • Mocking your own services on development environment to make it easy to simulate complicated scenarios
  • Mocking your future services on development environment to allow the front end and the back end to develop in parallel (after that, delete the mock and it'll be automatically proxied to the real service)

Getting started

There are two ways to use Mocko, let's get started with the one that fits your needs the most:

Mocko Standalone Mode

  • Manage your mocks in configuration files
    • Great for documenting and versioning your mocks in a repository
    • Great when you need a lot of mocks: Structure your mocks in folders for easier organization
  • Only one service
    • Lightweight: Built on top of Hapi, a very lightweight framework
    • Run anywhere, one process that you can spin with docker or the mocko CLI
  • Develop locally with a CLI
    • Serve your dynamic mocks with one command
    • Restarts automatically with changes
    • Easy to debug: Reports errors with your configurations in a human readable way

Mocko Complete Stack

  • Manage your mocks in a web UI, no configuration files or CLIs
    • Great for running in your cluster for your team to create scenarions on-the-go
    • No need to deploy on changes, in a click of a button your mocks are updated
  • Three services + Redis
    • You'll need a Redis in your cluster to run this configuration
    • For local development, the docker-compose already includes the redis
  • Run locally with docker-compose or remotely with Helm
    • Install it in your Kubernetes cluster with one command
    • Run it locally with docker-compose