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crisnahine
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crisnahine/rails-ai-context

Stop AI from guessing your Rails app. 35 MCP tools give coding agents ground truth on demand: schema, models, routes, controllers, views, jobs and conventions. Works with Claude Code, Cursor, GitHub Copilot, OpenCode and Codex CLI. MCP or CLI, in your Gemfile or standalone, and it still answers when the app can't boot.

Ruby ◇ ai MIT
★167STARS
⑂12FORKS
!0ISSUES
🏆#16,929GLOBAL RANK
🔥22DAYS TRENDING
🚀
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⚡ Executive Summary & Quick Facts

Authoritative Source

rails-ai-context is rails-ai-context is an open-source project written in Ruby: 45 MCP tools that give AI coding agents ground truth about your Rails app: schema, models, routes, controllers, views, jobs, conventions. Works with Claude Code, Cursor, GitHub Copilot, OpenCode and Codex CLI. MCP or CLI, in-Gemfile or standalone, and it still answers when the app can't boot.. It provides a free, self-hosted open-source alternative to Cursor.

Repository crisnahine/rails-ai-context ↗
Primary Category ai
Language & Stack Ruby
Software License MIT
Community Traction ★ 167 stars · ⑂ 12 forks · #16,929 globally
Maintenance ● Active (Last commit: Oct 26, 2026) · 0 open issues
Replaces SaaS Open Source Cursor Alternative ($20/month per user) →
Target Audience Developers and engineering teams building with Ruby, seeking reliable, tested, and actively maintained tooling for production workloads.

Star History

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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#1,037

MOST-STARRED Ruby

Window7 days30 days90 days
Stars gained+8+10+90
Per day111
Forks gained+0+3+10

rails-ai-context gained 10 stars in the last 30 days, about 1 a day, and now has 167. It is about 1 year old and has averaged roughly 167 stars a year. It ranks #1,037 among Ruby repositories and #16,929 across all languages on GitHubRepo.

Trending Record

rails-ai-context has maintained a continuous presence across global trending indexes, peaking at #3487. Below is the 30-day activity profile:

💡 Overview

rails-ai-context is an open-source project written in Ruby: 45 MCP tools that give AI coding agents ground truth about your Rails app: schema, models, routes, controllers, views, jobs, conventions. Works with Claude Code, Cursor, GitHub Copilot, OpenCode and Codex CLI. MCP or CLI, in-Gemfile or standalone, and it still answers when the app can't boot.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai, ai-coding, claude. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Ruby for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ git clone https://github.com/crisnahine/rails-ai-context.git
cd rails-ai-context

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Ruby >= 3.1 with Bundler

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

rails-ai-context coordinates its core functionality through a modular Ruby pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with rails-ai-context.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install rails-ai-context using your package manager: `git clone https://github.com/crisnahine/rails-ai-context.git`

2

Initialize your project workspace or configuration file for rails-ai-context.

3

Import rails-ai-context into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `rails-ai-context --help` to verify successful setup.

👍 Strengths

Active community backing with 159 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in Ruby for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Ruby and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

💡
Open Source Alternative to Cursor Replaces proprietary subscriptions ($20/month per user) with self-hosted freedom.
Explore all Cursor alternatives →
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👥 Who Should Use This

Developers and engineering teams building with Ruby, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

crisnahine/rails-ai-context is currently ranked #16,929 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#16,889 cechout/fluent-sensors C# ★ 168 Compare ↗
#16,889 sdiehl/prism Rust ★ 168 Compare ↗
#16,889 Accio-Lab/occamy JavaScript ★ 168 Compare ↗
#16,889 danielroe/airspace TypeScript ★ 168 Compare ↗
#16,889 ItsAlphaNeon/Lemon-Studio Rust ★ 168 Compare ↗
#16,929 crisnahine/rails-ai-context This Project Ruby ★ 167
#16,929 tcurdt/feedbackreporter Objective-C ★ 167 Compare ↗
#16,929 directeur/django-sorting Python ★ 167 Compare ↗
#16,929 binarylogic/authlogic_openid Ruby ★ 167 Compare ↗
#16,929 singpolyma/mnemonicode C ★ 167 Compare ↗
#16,929 reenigne/reenigne C++ ★ 167 Compare ↗
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Frequently Asked Questions

What does rails-ai-context do? +

Stop AI from guessing your Rails app. 35 MCP tools give coding agents ground truth on demand: schema, models, routes, controllers, views, jobs and conventions. Works with Claude Code, Cursor, GitHub Copilot, OpenCode and Codex CLI. MCP or CLI, in your Gemfile or standalone, and it still answers when the app can't boot.

What language is rails-ai-context written in? +

The primary language is Ruby. Topics include: ai, ai-coding, claude, codex, codex-cli.

Is rails-ai-context actively maintained? +

Yes, the last recorded push was on Oct 26, 2026 with 0 open issues being tracked.

How many stars does rails-ai-context have? +

rails-ai-context has 167 stars and 12 forks on GitHub.

How does rails-ai-context rank among GitHub repositories? +

With 167 stars, crisnahine/rails-ai-context is ranked #16,929 globally across all repositories tracked on GitHubRepo and #1,037 among Ruby projects.

What license is rails-ai-context distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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