Full-featured MCP support for Ruby and RubyLLM—making it easy to build structured, composable LLM workflows in pure Ruby.
Star History
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+10
STARS · LAST 30 DAYS
1
PER DAY
#651
MOST-STARRED Ruby
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
ruby_llm-mcp gained 10 stars in the last 30 days, about 1 a day, and now has 269. It is about 1 year old and has averaged roughly 269 stars a year. It ranks #651 among Ruby repositories and #9,941 across all languages on GitHubRepo.
Trending Record
3
DAYS ON TRENDING
#9513
BEST RANK
Oct 10, 2026
FIRST APPEARANCE
Active
STATUS TODAY
ruby_llm-mcp has maintained a continuous presence across global trending indexes, peaking at #9513. Below is the 30-day activity profile:
💡 Overview
ruby_llm-mcp is an open-source project written in Ruby: Full-featured MCP support for Ruby and RubyLLM—making it easy to build structured, composable LLM workflows in pure Ruby.
Engineered for speed, consistency, and developer ease, it solves common hurdles in ai, llms, mcp. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Ruby for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ git clone https://github.com/patvice/ruby_llm-mcp.git
cd ruby_llm-mcp⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Ruby >= 3.1 with Bundler
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
ruby_llm-mcp 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 ruby_llm-mcp.
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
Install ruby_llm-mcp using your package manager: `git clone https://github.com/patvice/ruby_llm-mcp.git`
Initialize your project workspace or configuration file for ruby_llm-mcp.
Import ruby_llm-mcp into your codebase or invoke it directly from your terminal.
Execute your test suite or run `ruby_llm-mcp --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 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
patvice/ruby_llm-mcp is currently ranked #9,941 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #9,923 | Aayush9029/petal | Swift | ★ 270 | Compare ↗ |
| #9,923 | Asterisk4Magisk/AsteriskNG | Kotlin | ★ 270 | Compare ↗ |
| #9,923 | Drakonis96/nodus | TypeScript | ★ 270 | Compare ↗ |
| #9,923 | xing-shuyin/pi-web-ui | TypeScript | ★ 270 | Compare ↗ |
| #9,923 | Adudeguyman/ComfyUI-Fantastic-MiniMaxH3-PromptBuilder | JavaScript | ★ 270 | Compare ↗ |
| #9,941 | patvice/ruby_llm-mcp This Project | Ruby | ★ 269 | |
| #9,941 | tuffy/python-audio-tools | C | ★ 269 | Compare ↗ |
| #9,941 | latex3/unicode-math | TeX | ★ 269 | Compare ↗ |
| #9,941 | adamsalter/sitemap_generator | Ruby | ★ 269 | Compare ↗ |
| #9,941 | willemdj/erlsom | Erlang | ★ 269 | Compare ↗ |
| #9,941 | freefair/gradle-plugins | Java | ★ 269 | Compare ↗ |
Frequently Asked Questions
What does ruby_llm-mcp do? +
Full-featured MCP support for Ruby and RubyLLM—making it easy to build structured, composable LLM workflows in pure Ruby.
What language is ruby_llm-mcp written in? +
The primary language is Ruby. Topics include: ai, llms, mcp, mcp-clients, rails.
Is ruby_llm-mcp actively maintained? +
Yes, the last recorded push was on Oct 8, 2026 with 10 open issues being tracked.
How many stars does ruby_llm-mcp have? +
ruby_llm-mcp has 269 stars and 42 forks on GitHub.
How does ruby_llm-mcp rank among GitHub repositories? +
With 269 stars, patvice/ruby_llm-mcp is ranked #9,941 globally across all repositories tracked on GitHubRepo and #651 among Ruby projects.
What license is ruby_llm-mcp distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
