aris MCP Server
ama2alvarez-1990/aris
ARIS — AI Operating System for Developers. 66 skills, 23 MCP tools, 16 AI agents. Multi-model routing (Claude+GPT+Gemini+Grok+Ollama). pip install aris-mcp-server
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
ama2alvarez-1990/aris is a Python MCP server licensed under MIT. ARIS — AI Operating System for Developers. 66 skills, 23 MCP tools, 16 AI agents. Multi-model routing (Claude+GPT+Gemini+Grok+Ollama). pip install aris-mcp-server Topics: ai, ai-orchestration, ai-routing, claude, claude-code, developer-tools, gemini, gpt, grok, mcp, mcp-server, multi-model, ollama, security, skills, ai-agents, automation, codex, cursor, model-context-protocol.
Ranked #24 out of 129 indexed tools.
Actively maintained with commits in the last week.
Ecosystem
Score Breakdown
1 stars → early stage
Last commit today → actively maintained
No issues filed → no history to score
1 contributor → solo project
No dependents → no downstream usage
Weights: Freshness 25% · Issue Health 25% · Dependents 25% · Stars 15% · Contributors 10% · How we score →
How to Improve
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From the README
<div align="center"> # ARIS — AI Operating System for Developers **Every AI model. One unified intelligence.** ```bash npx aris-init ``` [Website](https://aris4u.dev) · [Get Pro](https://aris4u.dev/#pricing) · [Documentation](https://docs.aris4u.dev) </div> --- ## What is ARIS? ARIS unifies **every AI model** (Claude, GPT, Gemini, Grok, Ollama) into a **single operating system** that thinks, routes, evolves, and protects. 28 MCP tools, 66 skills, 10 agents, 5-layer verification, impact prediction, and kernel-level hardware intelligence. You stop choosing between AI tools. ARIS knows which model is best for each task and uses it automatically. ## Install (60 seconds) ```bash # One command. Mac, Linux, Windows. npx aris-init ``` Then restart Claude Code. That's it. ## Why ARIS? | Feature | ARIS | Cursor | Copilot | LiteLLM | pal-mcp | |---------|------|--------|---------|---------|---------| | Task-level routing | **15 categories** | No | No | API-level | API-level | | AutoRead full README on GitHub →
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