Auto-introspect your Rails app and expose it to AI assistants via MCP. 39 tools, zero config, works with Claude, Cursor, Copilot, and any MCP client.

Secure Rails console access for AI agents through Model Context Protocol with safety features and read-only modes

MCP server for Botwallet — Give any AI agent a wallet via Model Context Protocol. FROST threshold signing, x402 paid APIs, spending guard rails.

Trait_AI is an AI-powered chatbot built with Ruby on Rails, featuring memory, dynamic emotional responses, and user authentication. It delivers personalized conversations by remembering prior interactions and adapting its tone based on context. This project demonstrates full-stack Rails expertise, including backend logic, database integration,

Zero-friction documentation structure for AI-assisted Rails development

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Provide AI context for Rails apps with structured data that reduces guesswork and improves responses

A work in progress Ruby on Rails upgrade notes, when upgrading a Rails app from 4 all they way up to 7 latest, super handy for AI editors like cursor in agent mode

Autonomous Rails-based system for planning and executing software development tasks with AI integration via Model Context Protocol.

react-grab plugin for Rails 8 — extends react-grab to detect Stimulus controllers, Turbo Frames, ERB partials, and ViewComponents. Select any element, copy Rails context for AI coding agents.

Rails application that involves generating and handling conversational content using a generative AI client. The application likely includes features for interacting with users through chat, processing user inputs, and generating responses with emotional context.

Qommento is an AI engagement autopilot for YouTube creators. It ingests video transcripts to generate persona-true, context-aware replies at scale. Features include custom voice modeling, safety rails, organic timing, and growth analytics—automating community management without sacrificing authenticity

Vibecast -- A full-stack web app that turns a mood or moment into a personalized music recommendation. Describe how you're feeling, get a curated set of artists, genres, and tracks with AI-generated context for each. Built with Ruby on Rails, React, TypeScript, and PostgreSQL.