"Mock Service Worker" matching MCP servers:

Generates schema-compliant mock data from OpenAPI JSON Schema definitions using AI, enabling seamless testing without manual fixtures.

A mock MCP server for testing MCP client implementations and development workflows. Supports tools, prompts, and resources across multiple transport protocols (stdio, HTTP, SSE).

A zero-dependency mock MCP server for testing MCP clients and harnesses, with configurable tools and canned responses.

Enables AI agents and assistants to dynamically add, update, and remove Mock Service Worker network mocks through MCP tools, with a WebSocket bridge that applies handler changes without restarting or reloading the application.

Enables AI agents and MCP clients to dynamically add, update, and remove Mock Service Worker network mocks via MCP tools, including live handler updates without restarting the application source code.

Enables AI assistants to dynamically add, update, and remove Mock Service Worker network mocks through MCP tools without restarting the application. It also supports scaffolding MSW setup and managing browser-connected mocking sessions via a WebSocket bridge.

Enables AI agents to dynamically add, update, and remove Mock Service Worker network mocks through MCP tools, without restarting the application source code.

A lightweight mock MCP server for local testing and resilience experiments, providing predictable tool responses with simulated latency and errors.

Enables Codex to delegate bulk code reading, patching, and testing to an async worker using cheaper AI models, while receiving compact results.

Enables AI agents to dynamically add, update, and remove Mock Service Worker network mocks through MCP tools, using a WebSocket bridge to live browser sessions and a setup prompt that scaffolds the MSW integration. Changes apply without restarting the application or editing its source.

Enables AI assistants to dynamically add, update, and remove Mock Service Worker network mocks through MCP tools, including scaffolding project setup. Changes take effect in the running browser app without restarting the application source code.

Enables AI agents to scaffold and dynamically manage Mock Service Worker network mocks through MCP tools, adding, updating, or removing handlers without reloading the page or restarting application code.

Enables AI assistants to dynamically add, update, and remove Mock Service Worker network mocks through MCP tools, without restarting or reloading the application.

Enables AI assistants to dynamically add, update, and remove Mock Service Worker request handlers at runtime through MCP tools, with setup scaffolding and a WebSocket browser bridge.

Enables AI assistants to dynamically add, update, and remove Mock Service Worker network mocks via MCP tools, with a browser bridge that applies changes without restarting the application.

Enables AI assistants to dynamically add, update, and remove Mock Service Worker network handlers in a running browser app through a WebSocket bridge, without touching application source code or reloading the page. It also provides a setup prompt to scaffold the MSW and client integration in a project.

Enables AI agents to dynamically add, update, and remove Mock Service Worker network mocks at runtime, without reloading the browser or restarting the application. It also scaffolds MSW setups and brokers handler updates to the browser over a WebSocket bridge.

Enables instant creation of mock API servers from OpenAPI specs or natural language descriptions, with built-in fake data generation, CRUD endpoints, and configurable delays/errors for testing.

Spin up deterministic mock MCP servers from JSON fixture files for testing MCP clients and agents.

Enables AI assistants to dynamically add, update, and remove Mock Service Worker network mocks through MCP tools, without restarting the application source code. It bridges the MCP/CLI side with the browser via WebSocket for live handler updates and setup scaffolding.