Awesome Agentic DevOps

Awesome Agentic DevOps is a curated map for DevOps, Cloud, SRE, and Platform Engineering agents across Claude Code, Gemini ADK, OpenAI Agents SDK, and MCP.

This repository evaluates which agents are safe, useful, and production-adjacent for infrastructure automation.

Contents

• Why this exists
• Who it is for
• Safety-first disclaimer
• Evaluation labels
• Categories
• Top picks by use case
• Curated catalog
• How to contribute

Why this exists

Most agent lists stop at discovery. Infrastructure teams need more than discovery: they need to know whether an agent can touch production, whether it has approval gates, whether it preserves evidence, and whether it can be rebuilt as a safe reference workflow.

This repo is intentionally operator-grade. Each entry is scored by real infrastructure usefulness, operational risk, human approval gates, tracing/evidence, maturity, and Gemini compatibility.

Who it is for

• DevOps and platform engineers evaluating AI automation.
• SREs designing incident-response copilots.
• Cloud engineers comparing agent frameworks.
• Security reviewers assessing infrastructure-agent risk.
• Builders creating portfolio-grade reference agents.
• Interview candidates who want a practical DevOps AI artifact.

Safety-first disclaimer

These agents may touch infrastructure. Prefer read-only or proposal mode first. Require human approval before write actions. Never expose secrets to model context. Use least-privilege credentials, dry runs, Terraform plans before applies, and CI checks before merge.

Evaluation labels

Categories

1. Official cloud MCP servers and agent toolkits
2. Official DevOps and source-control MCP servers
3. Official CI/CD and GitOps MCP servers
4. Official security, code-quality, and agent-security resources
5. Official IaC MCP servers
6. Official SRE and observability MCP servers
7. Official agent skills and agent frameworks
8. Official platform agent toolkits
9. Official MCP SDKs, references, registries, and governance platforms
10. Official diagramming and architecture MCP tools
11. Official data platform MCP servers
12. Community discovery and skill references

Top picks by use case

Curated catalog

The source of truth is data/repos.yaml. The list below is a readable index of the current official and community research-backed entries.

Official Cloud MCP Servers and Agent Toolkits

Official DevOps MCP Servers

Official Security and Code-Quality MCP Servers

Official CI/CD and GitOps MCP Servers

Official MCP SDKs, Reference Implementations, Registries, and Governance Platforms

Official CloudOps Agent Samples

Official IaC MCP Servers

Official SRE MCP Servers

Official Agent Skills and Frameworks

Official Platform Agent Toolkits

Official Diagramming and Architecture MCP Tools

Official Data Platform MCP Servers

Community Discovery and Skills

How to contribute

Start with CONTRIBUTING.md. New entries should update data/repos.yaml, include a real operational use case, classify action level, and explain safety or approval behavior.

Run validation before opening a PR:

python scripts/validate_repos_yaml.py
pytest -q
python scripts/run_mock_eval_scenarios.py
python scripts/audit_github_repos.py --workers 12 --fail-on-unreachable