"Mock Service Worker" matching MCP servers:

Enables Claude to create local, persistent mock REST APIs on demand from plain-language descriptions, with data written to disk so it survives restarts.

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

Provides tools to communicate with a service dependency API, enabling users to query and interact with service relationship data and dependency mappings.

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.

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 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.

A zero-code-intrusion mock server for mobile apps that integrates with Charles proxy, allowing dynamic rule management via natural language in Cursor.

A unified HTTP/HTTPS service that exposes Model Context Protocol (MCP) functionality over HTTP endpoints, allowing clients to list available tools and call them through a standardized API.

A FastAPI + FastMCP dashboard for registering MCP mock server contracts and connecting to them via Streamable HTTP endpoints.

Lets AI assistants safely explore a Matrix42 instance by discovering web services and the data model, running validated ASQL queries, searching the service desk, and previewing ticket actions — read-only by default and without exposing credentials.

Enables MCP agents to create test webhook endpoints, read incoming requests, validate payloads against Hookline validators, and manage mock responses directly from the editor.