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Microcks API Mocking and Testing: How to Build Mocks and Run Contract Tests

Microcks turns API artifacts into mock endpoints and tests deployed implementations. Learn how examples, runner choice, and automation fit together.
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Microcks turns API artifacts into mock endpoints and uses them to test deployed implementations. To get useful results, provide complete examples, choose a test runner that matches the API and the check you need, then target the implementation’s Test Endpoint. You can work through the UI or automate tests with the Microcks API, CLI, or supported integration libraries.

What Microcks does—and what it does not do

Microcks is an open-source, cloud-native tool for API mocking and testing. It supports synchronous and event-driven API styles and can run on premises, in a cloud environment, or on a developer’s laptop. Its core input is an API artifact: a specification or testing file that describes operations, constraints, examples, or assertions. Microcks uses that information to build a knowledge base, generate mocks, and test implementations against expectations. Microcks Main Concepts

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Mocking and testing are related but distinct workflows. A mock simulates an API so a consumer can exercise an interaction without depending on the real service. A test targets a deployed implementation through a Test Endpoint and checks its behavior using a selected runner. A generated mock is therefore not, by itself, proof that the live implementation conforms.

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Artifacts Microcks can use

  • OpenAPI specifications
  • AsyncAPI specifications
  • GraphQL APIs
  • gRPC schemas
  • Postman collections
  • SoapUI projects

The artifact determines what Microcks knows about the API and, in several runner strategies, what it can validate. Microcks Main Concepts

How Microcks creates API mocks

Import an artifact with useful examples, then use the generated mock endpoint to exercise requests or messages. The examples are important: they supply concrete interactions, rather than just an abstract operation definition.

OpenAPI examples need both sides of an interaction

For OpenAPI, Microcks uses examples to produce working mocks and build tests. A request example without a corresponding output example is incomplete; the documentation warns that such examples may be discarded. Include representative request and response information for the operations consumers need to exercise. OpenAPI Conventions

AsyncAPI examples describe messages

For AsyncAPI, message examples provide mock messages. Naming conventions depend on the specification version: in the documented AsyncAPI 2.x convention, example names are required; for 3.0, Microcks can compute a name from the message and the example’s position. Check the convention that applies to your specification version. AsyncAPI Conventions

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Try the documented quickstart

The beginner tutorial demonstrates importing a sample API and calling its generated REST mock using an all-in-one distribution in a container. It is a documented demonstration, not an independently verified performance or compatibility test. Follow the current Microcks getting-started tutorial for its setup and sample-call steps.

How to choose a test runner

A test runner defines what Microcks checks. Choose according to the API or service type, the artifact you have, and the level of validation you need—not simply because a runner name matches the file you imported. The official reference describes these strategies: Test Parameters.

Runner strategy What it checks Typical fit
HTTP Endpoint availability Check whether an HTTP endpoint responds
SOAP Response syntax against service schemas Validate a SOAP response’s schema conformance
SoapUI Assertions or scripts in the SoapUI artifact Run existing SoapUI checks
Postman Assertions or scripts in the Postman artifact Run existing Postman checks
OpenAPI Example request results and schema compliance Check behavior against an OpenAPI specification and its examples
AsyncAPI Messages consumed from a broker against the schema Validate event-driven behavior; a test includes one operation at a time
gRPC/Protobuf Result payloads Check gRPC responses using the relevant schema
GraphQL Responses against the API schema Validate GraphQL response conformance

Match the runner to the question

  • For a basic reachability check, use HTTP.
  • For response or message conformance, use the strategy suited to the service and its schema: for example, OpenAPI, SOAP, AsyncAPI, gRPC/Protobuf, or GraphQL.
  • If the checks already live in a Postman collection or SoapUI project, use the corresponding runner to execute its assertions or scripts.

Before launching a test, account for the operation to select, Test Endpoint syntax, timeout, credentials or OAuth2, and any header overrides. The exact configuration depends on the target and test; consult the Test Parameters reference.

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Run tests from the UI or automate them

Microcks tests can be launched through its UI, API, CLI, or libraries. Use the UI or the testing tutorial to learn the contract-test flow against a chosen endpoint and runner. For automation, the Microcks API can launch tests, register mocks, and control configuration. Microcks OpenAPI reference

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Choose an integration library carefully

Microcks lists Testcontainers modules for Java, JavaScript/TypeScript, Go, .NET, and Python. The modules’ feature coverage differs across mocking, invocation checks, conformance tests, and asynchronous protocols. Verify the current Testcontainers modules matrix for the language and protocol you plan to use before building your test setup around a specific capability.

A practical workflow

  1. Select the artifact. Start with the specification or test file that represents the API: for example, OpenAPI, AsyncAPI, GraphQL, a gRPC schema, a Postman collection, or a SoapUI project. Main Concepts
  2. Complete the examples. For OpenAPI, provide paired request and response examples for useful interactions. For AsyncAPI, follow the naming convention for the specification version in use. OpenAPI Conventions AsyncAPI Conventions
  3. Generate and call the mock. Import the artifact and use the resulting mock endpoint to exercise the documented interaction. The getting-started tutorial walks through a sample REST mock.
  4. Identify the implementation target. Set up the deployed service’s Test Endpoint, then select the runner that reflects the check you need: availability, schema conformance, consumed-message validation, or existing Postman/SoapUI assertions. Test Parameters
  5. Configure and launch the test. Set the relevant operation, endpoint syntax, timeout, authentication, and header overrides. Run it in the UI, or use the API, CLI, or a suitable library for automation.
  6. Check integration support before relying on it. For Testcontainers, confirm that the current module supports the specific language, protocol, and test capability in your workflow. Testcontainers modules

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