ruoyi-ai MCP Server
ageerle/ruoyi-ai
Enterprise-grade AI agent framework with multi-provider LLM management, secure knowledge bases and high-precision RAG, visual workflow orchestration, and multi-agent coordination.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
ageerle/ruoyi-ai is a Java tool licensed under MIT. Enterprise-grade AI agent framework with multi-provider LLM management, secure knowledge bases and high-precision RAG, visual workflow orchestration, and multi-agent coordination. Topics: agent, ai, knowledge, rag, mcp.
Ranked #6 out of 24840 indexed tools.
In the top 1% of all indexed tools.
Has 5,724 GitHub stars.
Has 56 contributors.
Actively maintained with commits in the last week.
Ecosystem
Score Breakdown
5,724 stars → well-known project
Last commit 2d ago → actively maintained
149/154 issues closed → responsive maintainer
56 contributors → active community
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
Matched Queries
From the README
# RuoYi AI
<div align="center">
[![Contributors][contributors-shield]][contributors-url] [![Forks][forks-shield]][forks-url] [![Stargazers][stars-shield]][stars-url] [![Issues][issues-shield]][issues-url] [![MIT License][license-shield]][license-url]
<p align="center">
<a href="https://trendshift.io/repositories/13209">
</a>
</p>
### Enterprise-Grade AI Assistant Platform
*An out-of-the-box full-stack AI platform supporting multi-agent collaboration, Supervisor mode orchestration, and multiple decision models, with advanced RAG technology and visual workflow orchestration capabilities*
**[中文](README_ZH.md)** | **[📖 Documentation](https://doc.ruoyiai.chat/)** |
**[🚀 Live Demo](https://web.ruoyiai.chat/)** | **[🐛 Report Issues](https://github.com/ageerle/ruoyi-ai/issues)** | **[💡 Feature Requests](https://github.com/ageerle/ruoyi-ai/issues)**
</div>
## 🚀 Live Demo
| Service | URL | Default Account |
|---|---|---|
| Admin Panel | http://129.226.199.247:25666 | admin Read full README on GitHub → Get the weekly AgentRank digest
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