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Everything you need to build, run and scale @imqueue services — from a two-minute quickstart to the full API reference. Arrived with one specific question? The FAQ answers twenty-one of the most common ones directly.
Getting Started
Install the CLI, scaffold a service and generate its client — your first @imqueue service in a few minutes.
read →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.
read →CLI User Guide
Scaffold, generate and run services with the imq RAD CLI — configure it, wire up VCS/CI/registry providers, and drive a whole local fleet.
API Reference
The RPC and Messaging APIs explained — services, clients, decorators and adapters — plus the generated reference.
read →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.
MCP Server
Wire @imqueue into Claude, Cursor, VS Code, JetBrains and more — the @imqueue/mcp server gives your agent live docs search, service scaffolding and CLI control as tools.
Agent Recipes
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.
read →Glossary
Short definitions of the vocabulary the rest of these docs assume — IMQ, fleet, self-describing service, safe delivery, provider axis — each linked to the page that covers it properly.
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