Full list of AI tools, agents, MCP servers, and resources for DevOps, SRE, and Platform Engineering. Based on awesome-devops-ai (hammadhaqqani) and 2026 market research.
Last updated: 2026-05-26#
AI-Powered Incident Management & SRE#
| Tool | License | Type | Best For |
|---|
| HolmesGPT | Apache 2.0 | Agentic investigation | K8s incident RCA, CNCF sandbox |
| K8sGPT | Apache 2.0 | K8s diagnostics | K8s troubleshooting with AI |
| Aurora | Apache 2.0 | Multi-cloud AI investigation | End-to-end incident investigation |
| Rootly AI | Closed source | Incident workflow | AI for incident management |
| PagerDuty SRE Agent | Closed source | AI assistant | SRE workflows |
| Datadog Bits AI | Closed source | AI SRE | Full-stack observability + AI |
| Incident.io AI | Closed source | Incident management | AI-augmented incident response |
AI-Powered IaC#
| Tool | License | Best For |
|---|
| Amazon Q Developer | AWS | Terraform/AWS infrastructure generation |
| Pulumi AI | Free | IaC generation in Python/TS/Go |
| Digger | Open source | AI-powered Terraform CI/CD |
| LocalAI | Open source | Local LLM for IaC generation |
| Infracost | Open source | AI-powered cost estimation in CI |
MCP Servers for DevOps#
| MCP Server | Connects To | Protocol |
|---|
| Kubernetes MCP | K8s clusters | Model Context Protocol |
| GitHub MCP | GitHub API | Model Context Protocol |
| GitLab MCP | GitLab API | Model Context Protocol |
| Pulumi MCP | Pulumi Cloud | Model Context Protocol |
| Prometheus MCP | Prometheus | Model Context Protocol |
| Jenkins MCP | Jenkins | Model Context Protocol |
| JFrog MCP | Artifactory | Model Context Protocol |
| ArgoCD MCP | ArgoCD | Model Context Protocol |
AI Agent Frameworks for Infrastructure#
| Framework | Type | Best For |
|---|
| Kagent | Open source | AI agents in K8s (CNCF sandbox) |
| Claude MCP | API | Custom DevOps agents via Model Context Protocol |
| Google ADK | Open source | Agent Development Kit |
| Pydantic AI | Open source | Structured AI agents for infrastructure |
| DSPy | Open source | AI agent programming framework |
AI Log Analysis & Debugging#
| Tool | Type | Best For |
|---|
| Grafana LLM | Plugin | AI-powered log analysis in Grafana |
| Datadog Bits AI | SaaS | Log analysis + anomaly detection |
| AIOps platforms | Various | Automated log pattern detection |
Freelance AI for DevOps Opportunities#
| Service | Rate Range | Key Tools |
|---|
| AI incident investigation setup | $120-200/hr | HolmesGPT, K8sGPT, Aurora |
| MCP server deployment & customization | $150-250/hr | K8s MCP, GitHub MCP, Prometheus MCP |
| AI-powered IaC pipeline | $100-180/hr | Amazon Q, Pulumi AI, Digger |
| AI observability & log analysis | $130-220/hr | Grafana LLM, Datadog Bits AI |
| K8s AI agent implementation | $150-250/hr | Kagent, Claude MCP, Pydantic AI |
| AI SRE strategy consulting | $150-300/hr | HolmesGPT + Datadog + PagerDuty |
Learning Resources#
Market Context#
The AI for DevOps space is evolving rapidly. In 2026, the CNCF has sandboxed multiple AI-for-ops projects (HolmesGPT, K8sGPT, Kagent, Runme). MCP (Model Context Protocol) is becoming the standard for connecting AI agents to infrastructure tools. According to the Perforce State of DevOps 2026, 72% of high-maturity organizations have deeply embedded AI practices.
References#
- awesome-devops-ai → 314 tools across 20 categories
- CNCF Sandbox: kagent, HolmesGPT, K8sGPT, Runme