WireMock Cloud provides API simulation capabilities that integrate with AI development tools through the Model Context Protocol (MCP). This enables AI assistants to create, manage, and test against mock APIs directly within your development environment.

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Key Capabilities

API Simulation
Create mock APIs from existing code, OpenAPI specifications, or natural language descriptions using AI assistance. Codebase Integration
Generate mocks that reflect your existing API patterns and data structures by analyzing your codebase. Testing with AI Agents
Allow AI coding assistants to validate generated code by testing against realistic mock responses. Independent Development
Work on features that depend on APIs still in development by creating temporary mock implementations.

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Installation

Install the WireMock CLI and configure your AI tool:
  1. Install the CLI: npm i -g @wiremock/cli
  2. Log in: wiremock login
  3. Configure MCP integration
View Full Installation Guide →

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Supported Tools

WireMock integrates with AI development environments via the Model Context Protocol:
CursorCursor
VS CodeVS Code
C
Claude
GitHubCopilot
Compatible with: Cursor, VS Code, Claude Code, Claude Desktop, GitHub Copilot, Augment, Windsurf, and other MCP-compatible tools. View All Available Tools →

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Use Cases

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Creating Stateful Mock APIs

Transform static mock APIs into dynamic, stateful versions that maintain state between requests. AI assists in validating mock behavior as it evolves, enabling realistic simulation of complex API interactions and multi-step workflows.

📺 Watch: Converting Static APIs to Dynamic

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API Discovery and Documentation

Use AI to explore and document undocumented APIs by automatically discovering endpoints, analyzing responses, and generating comprehensive documentation. This is especially valuable when working with legacy systems or third-party APIs.

📺 Watch: AI-Powered API Exploration

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Mock Drift Detection

Detect and resolve discrepancies between mock APIs and their OpenAPI specifications using AI assistance. Automatically identify when mocks drift from intended behavior and update them to maintain consistency with API contracts.

📺 Watch: Resolving Mock Drift

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GraphQL API Behavior Definition

Prototype a GraphQL API schema, instantly simulate it then refine its data and improve realism.

📺 Watch: GraphQL API with AI

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API Dependency Isolation

Generate mock endpoints for your application’s API dependencies and swap real APIs for mocks during development and testing. This enables isolated development without external service dependencies, improving reliability and reducing development costs.

📺 Watch: Swapping APIs for Mocks

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AI-Driven API Prototyping

Leverage AI agents to prototype APIs that don’t yet exist, allowing teams to develop against future services before backend implementation. Create realistic endpoint behaviors and response patterns to unblock frontend development and testing workflows.

📺 Watch: API Prototyping with AI

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Authenticated HTTP Requests

Configure automatic authentication for AI-driven HTTP requests without exposing credentials to the language model. Set up domain-based authentication with OAuth, API keys, or custom headers to enable secure API exploration and testing workflows.

🔐 Learn: HTTP Request Authentication

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Webinars