Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@api-mock-generator mock a todo API with users and tasks"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Describe your API in English. Get a running mock server. Generate mock API servers instantly from OpenAPI specs or natural language descriptions. MCP-enabled for AI coding agents.
npm install
npm startRelated MCP server: Mockloop MCP
Tool | Description |
| Generate mock server from OpenAPI 3.x spec |
| Generate mock from natural language (e.g., "todo app with users, todos, auth") |
| Generate TypeScript interfaces |
| Generate fetch-based API client SDK |
| Configure delay, error rates, pagination |
Zero external API dependencies — all data generation is built-in
Contextual fake data — names for name fields, emails for email fields, dates for timestamps
CRUD endpoints — auto-generated list, get, create, update, delete
Pagination — built-in page/limit support on list endpoints
Request logging — GET /_logs to inspect all requests
Error simulation — configurable error rate for resilience testing
Response delay — simulate slow networks
TypeScript types — generate interfaces for all resources
Client SDK — ready-to-use fetch-based API client
npm i @lazymac/api-mock-generator{
"mcpServers": {
"api-mock-generator": {
"command": "node",
"args": ["node_modules/@lazymac/api-mock-generator/src/main.js"]
}
}
}MIT
This server cannot be deployed
AI-native mock API server with MCP. Create REST/SOAP mocks from Claude, Cursor, or Windsurf.
AI-callable tools for API mocking, testing, monitoring, security, and automation.
Build, debug and break hosted mock APIs from Claude: endpoints, stateful CRUD data, OpenAPI import, response variants and fault injection.
Hosted MCP endpoint with realistic fake data for prototyping agents. 12 tools, no setup.
