"Ruby on Rails" matching MCP servers:

An MCP server that exposes Ruby on Rails implicit dependencies like callbacks, associations, and concerns to AI coding tools.

Indexes Ruby on Rails codebases into a queryable graph of associations, routes, callbacks, jobs, and mailers, providing a token-efficient alternative to grep for navigating Rails code via Claude Code.

Provides RuboCop and Rails linting capabilities to AI assistants like Claude and Cursor, allowing them to lint, auto-correct, and manage Ruby code style violations.

Enables Rails developers to query route tables through MCP with paginated search and single-route lookup, including file and line locations for editor jumps in RubyMine.

Provides AI coding agents with ground truth about a Rails app via 45 read-only tools covering schema, models, routes, controllers, views, jobs, and conventions, working over MCP or CLI and functioning even when the app cannot boot.

Framework-aware code intelligence MCP server that builds a cross-language dependency graph from source code. 53 integrations (Laravel, Django, Rails, Spring, NestJS, Next.js, and more) across 68 languages. 100+ tools for navigation, impact analysis, refactoring, security scanning, session memory, and CI/PR reports — up to 97% token reduction.

The IDE for agents — read by symbol, edit against a revision, validate with your own build, revert. It is a local stdio MCP server for coding agents. It reads code by symbol with tree-sitter and real language servers (Go, Java, Scala, TypeScript, Python, Rust, Ruby), edits against a known revision and returns compiler diagnostics with each edit, runs the repository's own build, test etc.

Enables comparing Ruby hash literals and converting Ruby hashes to JSON with deterministic diff reports, running locally for privacy.

Automatically reads Sentry issues, investigates them by analyzing your Ruby codebase, explains why issues happened, and provides fix suggestions.

A code review tool server based on Model Context Protocol (MCP), providing multi-dimensional code review and scoring functions.

Enables source-first orchestration and knowledge indexing with inspectable architectural capabilities through a unified MCP interface, including named-attribute retrieval and atomic knowledge ingestion.

Serves local architectural context to LLM coding agents over MCP, enabling agents to query complexity, coupling, and layer metrics while deterministic quality gates enforce project invariants through hooks.

Lets Claude and other MCP hosts do real ABAP development on SAP systems through ADT: search objects, read and write source, transports, activation, ABAP Unit, ATC, short dumps, debugger and SQL queries. 173 tools, multi-system (S/4HANA Cloud and on-prem), with server-side guard rails and an audit log.

Enables agents to query information about gems in a Ruby project's Gemfile, including source code and metadata.

Enables AI assistants to audit, migrate, scaffold, and manage TON smart contracts using the TON Dev Skills platform.

Enables automated analysis of test suite traces to identify timing races and state pollution, helping developers mitigate flaky tests through MCP-compliant clients.

Enables Claude to directly access and analyze Ruby SimpleCov coverage reports for Rails projects. It allows users to retrieve coverage summaries, filter files by coverage rates, and identify specific uncovered lines to streamline test development.

A code understanding and generation system designed for Galacean Engine that helps LLMs comprehend the engine architecture and generate high-quality engine code based on user intent.

An MCP server giving coding agents context-window-aware code search and safe, atomic multi-file edits — built to cut token usage on large codebases without sacrificing correctness.

MCP server for AI-assisted development on the Lampa open-source TV app, providing read-only access to the source tree with 41 tools and 5 resources for structured analysis, planning, editing, and validation.