# Documentation: guides, tutorial & API reference

Source: https://imqueue.org/docs/

Everything you need to build, run and scale @imqueue services — from a two-minute
quickstart to the full API reference.

## Sections

1. [Getting Started](https://imqueue.org/get-started/) — install the CLI, scaffold a
   service and generate its client: your first @imqueue service in a few minutes.
2. [Tutorial](https://imqueue.org/tutorial/) — build a complete example app, one service
   at a time, up to a GraphQL API and production deployment, then front the same
   fleet with REST.
3. [CLI User Guide](https://imqueue.org/cli/) — scaffold, generate and run services with
   the `imq` RAD CLI: configure it, wire up VCS/CI/registry providers, and drive a
   whole local fleet.
4. [API Reference](https://imqueue.org/api/) — the RPC and Messaging APIs explained
   (services, clients, decorators and adapters), plus the generated reference for
   every documented package.
5. [Using AI Assistants](https://imqueue.org/using-ai-assistants/) — a paste-ready context
   block for Claude, ChatGPT, Cursor and Copilot, plus the machine-readable docs
   endpoints (`llms.txt`, markdown mirrors) agents can fetch.
6. [MCP Server](https://imqueue.org/mcp/) — wire @imqueue into Claude, Cursor, VS Code,
   JetBrains and more: the `@imqueue/mcp` server gives an agent live docs search,
   service scaffolding and CLI control as tools.
7. [Agent Recipes](https://imqueue.org/agents/) — machine-oriented procedures an AI
   assistant can follow to make a change: the contracts each relies on, commands
   that prove it worked, and the failure modes to expect.

## Also on this site

- [Introduction](https://imqueue.org/intro/) — what the framework is and the principles behind it.
- [Blog](https://imqueue.org/blog/) — guides and comparisons, including how @imqueue differs from gRPC, tRPC, NestJS, Moleculer and BullMQ.
- [/llms.txt](https://imqueue.org/llms.txt) — this site indexed for AI agents.