What versions of Rails and Ruby are required?

This skill requires Rails 7 or higher and Ruby 3.2 or higher to function correctly.

Can I use this to make my Rails app talk to Claude Desktop?

Yes, you can use the Server Implementation features to expose your Rails application's logic as tools that Claude Desktop or VS Code can consume.

Does it support authenticated MCP connections?

Yes, it includes a robust OAuth 2.1 PKCE implementation specifically designed for handling authentication challenges in MCP tool connections.

How does it handle multiple background workers?

It implements a multi-worker coordination strategy using database locks to ensure that subprocess supervisors are not duplicated across different worker processes.

Is Docker mandatory for using MCP Rails?

Docker is only required if you choose to use the Docker Supervisor to run and manage external MCP servers as subprocess containers.

MCP Rails Integration

Name: MCP Rails Integration
Author: rbarazi

byrbarazi

Desarrollo de API

Integrates the Model Context Protocol (MCP) into Ruby on Rails applications to build, connect, and manage AI agent tools.

Acerca de

MCP Rails provides a comprehensive framework for implementing the Model Context Protocol within Rails 7+ environments, allowing developers to build robust AI-agent-ready applications. It enables bidirectional capabilities, allowing your Rails app to act as an MCP client connecting to external tools, or as an MCP server exposing your internal business logic to AI agents. With integrated support for OAuth 2.1 PKCE, Docker-based subprocess management, and SSE streaming, it simplifies the complex task of orchestrating tool-calling environments for Claude and other LLMs.

Características Principales

Full bidirectional MCP client and server implementations
Docker-based supervisor for managing containerized MCP subprocesses
Integrated OAuth 2.1 PKCE flow for secure third-party tool access
Multi-worker coordination using PostgreSQL database locks
Advanced UI widget pipeline for rich rendering of tool results
0 GitHub stars

Casos de Uso

Exposing a Rails application's database and services as MCP tools for Claude Desktop
Building an AI platform that dynamically connects to and manages third-party MCP servers
Implementing secure, authenticated tool-calling for LLMs within a production Rails environment

Acerca de

Características Principales

Full bidirectional MCP client and server implementations
Docker-based supervisor for managing containerized MCP subprocesses
Integrated OAuth 2.1 PKCE flow for secure third-party tool access
Multi-worker coordination using PostgreSQL database locks
Advanced UI widget pipeline for rich rendering of tool results
0 GitHub stars

Casos de Uso

Exposing a Rails application's database and services as MCP tools for Claude Desktop
Building an AI platform that dynamically connects to and manages third-party MCP servers
Implementing secure, authenticated tool-calling for LLMs within a production Rails environment