awesome-kubernetes/docs/ai-agents-mcp.md

AI Agents and Model Context Protocol (MCP) for Kubernetes

Resources, tools, and projects related to autonomous AI agents, Model Context Protocol (MCP) implementations, and LLM orchestration within Kubernetes environments.

1. Introduction
2. AI Agents
3. Model Context Protocol (MCP)
4. LLM Operators and Infrastructure

Introduction

• anthropic.com: Introducing the Model Context Protocol
• modelcontextprotocol.io: MCP Official Documentation

AI Agents

• HolmesGPT (Robusta) - An open-source AI agent for investigating Prometheus alerts and Kubernetes incidents. It uses LLMs to triage issues and provide recommended fixes.
• Skyvern - Automate browser-based workflows using LLMs and Computer Vision.

Model Context Protocol (MCP)

• PulseMCP - A hosted hub for discovering and using MCP servers.
• MCPBundles - Curated bundles of MCP servers for various use cases (DevOps, Data, Productivity).
• GitHub MCP Server - Interact with GitHub repositories, issues, and PRs via AI agents.
• Vercel MCP Server - Manage Vercel deployments and view logs directly from AI agents.
• Chroma MCP Server - Vector database integration for agentic RAG.
• Brave Search MCP - Grounded web search for AI agents.
• PostgreSQL MCP Server - Secure SQL execution and schema inspection for agents.
• Google Cloud Managed MCP - Production-grade MCP service for accessing GCP resources from Gemini.

LLM Operators and Infrastructure

• Kube-Ray - A toolkit to run Ray applications on Kubernetes.
• vLLM on Kubernetes - High-throughput LLM serving with PagedAttention.
• NVIDIA GPU Operator - Automates the management of all NVIDIA software components needed to provision GPU.
• LocalAI - Self-hosted, community-driven, local OpenAI-compatible API.