Rails AI Context

Example Use Cases

• 1

  Understand Rails app schemas, models, and associations for accurate code generation.

• 2

  Detailed routing, controller actions, and filters to assist with backend logic.

• 3

  Access configuration, testing, and gem information to provide comprehensive AI assistance.

Description

Rails AI Context is a Ruby gem and MCP server that introspects your entire Rails application—including schema, models, routes, controllers, jobs, gems, auth, API, tests, and config—and exposes this information via 13 specialized MCP tools. This enables AI assistants to understand your app deeply, reducing token usage by up to 37% and improving code generation relevance. It supports multiple AI clients with tailored context files and offers live reload, caching, and configurable presets for different levels of introspection.