About Agentic AI For Devops
Agentic AI For Devops is an MCP server in the Agents category.
Install
git clone https://github.com/TrainWithShubham/agentic-ai-for-devopsThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
Tools (8)
**Anthropic API key**Claude AI for KubeHealer (Module 5)
Parameters not published.
**Docker**We build and troubleshoot containers
Parameters not published.
**Kind**Local K8s clusters for testing
Parameters not published.
**Ollama**Run LLMs locally, no API keys needed
Parameters not published.
**Python 3.10+**All code is Python
Parameters not published.
**Temporal CLI**Durable workflow execution (Module 5)
Parameters not published.
**gh CLI**GitHub CLI for CI/CD analysis (Module 6)
Parameters not published.
**kubectl**We talk to Kubernetes clusters
Parameters not published.
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README
Agentic AI for DevOps
Build AI agents that automate real DevOps infrastructure tasks — from kubectl error explanations to a self-healing Kubernetes system.
A 2-day hands-on course by Shubham Londhe / TrainWithShubham
The Journey
You start with zero LLM experience and end up building KubeHealer — an AI agent that detects broken Kubernetes pods, diagnoses the root cause, and fixes them automatically.
Day 1 — Foundations
| Module | What You'll Build |
|---|---|
| Module 0 — Know Before You Go | Set up your environment and verify everything works |
| Module 1 — Docker Error Explainer | Paste a Docker error, get a human-readable fix (your first LLM tool) |
| Module 2 — Docker Troubleshooter Agent | An AI agent that inspects containers and diagnoses crashes on its own |
| Module 3 — Multi-Tool DevOps Agent + MCP | Combine Docker + K8s tools, intro to LangChain and MCP |
Day 2 — Production-Grade Agents
| Module | What You'll Build |
|---|---|
| Module 4 — AIOps Demystified | The AIOps landscape, guardrails, and why durability matters |
| Module 5 — KubeHealer | Self-healing K8s agent with Temporal and Claude (separate repo) |
| Module 6 — Build Your Own AIOps Agent | CI/CD Failure Analyzer — diagnose GitHub Actions failures with an AI agent |
Prerequisites
| Tool | Why |
|---|---|
| Docker | We build and troubleshoot containers |
| kubectl | We talk to Kubernetes clusters |
| Kind | Local K8s clusters for testing |
| Python 3.10+ | All code is Python |
| Ollama | Run LLMs locally, no API keys needed |
| Temporal CLI | Durable workflow execution (Module 5) |
| gh CLI | GitHub CLI for CI/CD analysis (Module 6) |
| Anthropic API key | Claude AI for KubeHealer (Module 5) |
Already have Docker, kubectl, and Kind? Head to Module 0 to set up the rest.
Quick Start
git clone https://github.com/trainwithshubham/agentic-ai-for-devops.git
cd agentic-ai-for-devops
python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
python3 module-0/verify_setup.py
See Module 0 for the full step-by-step setup.
Tech Stack
| Category | Tools |
|---|---|
| Language | Python 3.10+ |
| LLM (Day 1) | Ollama + Gemma 4 (local, free) |
| LLM (Day 2) | Anthropic Claude (KubeHealer) |
| Containers | Docker |
| Orchestration | Kubernetes (Kind) |
| Agent Framework | LangChain |
| Durable Execution | Temporal |
| MCP | FastMCP |
README copy captured when this server was indexed; it may lag the repository. The original is authoritative.