llm MCP Server
r-uby-dev/llm
[](https://agentrank-ai.com/tool/r-uby-dev--llm/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) An agentic runtime
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
r-uby-dev/llm is a Ruby tool licensed under MIT. An agentic runtime Topics: ai, llm, llm-agents, llm-framework, llm-frameworks, llms, ruby-lib, ruby-library, a2a, a2a-client, agent2agent, mcp, mcp-client, rag, ruby, ai-runtime, agent, agents.
Ranked #1869 out of 24846 indexed tools.
In the top 8% of all indexed tools.
Actively maintained with commits in the last week.
Ecosystem
Score Breakdown
143 stars → growing community
Last commit 4d ago → actively maintained
31/42 issues closed → decent issue management
9 contributors → small team
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
How to Improve
Matched Queries
From the README
<p align="center">
<a href="https://r.uby.dev">
</a>
</p>
> [r.uby.dev](https://r.uby.dev/llm) project.
Welcome to the canonical llm.rb repository.
llm.rb is a runtime for building agentic AI applications
on CRuby. It has zero runtime dependencies by default, supports
concurrent and parallel tool execution and has a single coherent API
that spans 14+ providers.
The README covers the common cases. For everything else there is the
[deepdive](docs/deepdive.md), a reference with a chapter for each
topic, and for what changes between releases there is the
[changelog](CHANGELOG.md).
[The r.uby.dev website](https://r.uby.dev) hosts
an agentic platform that provides users with
personalized agents who can access GitHub, and
other services. It is built with llm.rb. Check it
out if curious. **Still in early development.**
## Install
llm.rb requires Ruby 3.4 or later.
```bash
gem install llm.rb
```
## Quick start
### Agents
The
[`LLM::Agent`](https://r.uby.dev/api-docs/llm.rb/LL Read full README on GitHub → Get the weekly AgentRank digest
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