MCP Vetted

sample-genai-on-eks-starter-kit

A comprehensive toolkit for deploying production-ready Generative AI infrastructure on Amazon EKS. Includes pre-configured components for: 🚀 AI Gateway (LiteLLM) 🤖 LLM Serving (vLLM, SGLang, Ollama) 📊 Vector Databases, 🔍 Embedding Models (TEI) 📈 Observability (Langfuse, Phoenix) etc. Fast-track your GenAI deployment with Kubernetes

Repository
aws-samples/sample-genai-on-eks-starter-kit
Stars
86
Last push
2026-07-21
License
MIT-0
Category
Databases

Score breakdown — how scoring works

  • Maintenance

    30 / 30
    • Pushed within 14 days1 days ago+30

  • Adoption

    11.3 / 25
    • GitHub stars (no package published — stars weighted fully)86+11.3

  • Documentation

    20 / 25
    • Comprehensive README (6,000+ chars)15250 chars+10
    • Install / setup instructionsyes+6
    • Tools / capabilities documentedno+0
    • Code or client-config exampleyes+4

  • Trust signals

    9 / 20
    • OSS license declaredMIT-0+7
    • First-party vendor implementationno+0
    • DNS-verified registry namespaceno+0
    • Listed in official MCP Registryno+0
    • Owned by an organizationyes+2

Install

From sourcegit clone https://github.com/aws-samples/sample-genai-on-eks-starter-kit

No package published to a registry — see the README for setup instructions.

Always review a server's code and required credentials before connecting it to your MCP client. MCP Vetted scores public metadata — it does not audit code for malicious behavior (yet). Methodology →

View on GitHub ↗