awesome-agentic-devops
Reduces vendor evaluation friction and deployment risk by providing pre-vetted MCP servers with explicit audit trails, enabling faster toolchain adoption wit…
Curated + scored map of official MCP servers and agents for DevOps, Cloud, SRE, and Platform Engineering — every entry rated on production access, approval gates, and audit evidence.
- Find approved MCP servers for DevOps workflows that meet your audit and compliance requirements.
- Evaluate agent tools based on production readiness scores and security gate requirements.
- Identify SRE and Platform Engineering agents with documented approval processes for enterprise deployment.
Reduces vendor evaluation friction and deployment risk by providing pre-vetted MCP servers with explicit audit trails, enabling faster toolchain adoption without compliance overhead.
Platform engineering and SRE teams standardizing agentic DevOps tooling across regulated environments.
https://github.com/DevOpsAIguru123/awesome-agentic-devops
By DevOpsAIguru123
How to Get It
claude plugins install DevOpsAIguru123/awesome-agentic-devops
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Help me find approved MCP servers for DevOps workflows that meet my audit and compliance requirements
Trust Signals Auto-scanned
Community Pulse New
No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 64 GitHub stars; contributors unknown; last commit 0d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 64 GitHub stars; contributors unknown; last commit 0d ago; license MIT.