A safety-scored map of DevOps tools for building AI agents
Awesome Agentic DevOps is a curated list of AI agent tools and MCP servers for DevOps, cloud, SRE, and work. It compares tools that can be used with Claude Code, Gemini ADK, OpenAI Agents SDK, and MCP.
The list goes beyond discovery. It checks whether a tool is useful near real production work, whether it can access live systems, whether human approval is built in, whether logs or evidence are preserved, and how mature the tool looks.
It groups official resources by practical use case, including AWS, , Google Cloud, GitHub, GitLab, Atlassian, Terraform, Pulumi, Grafana, Datadog, PagerDuty, SonarQube, Okta, Snyk, Wiz, Jenkins, and Argo CD. The safety guidance is direct: start in read-only or proposal mode, require human approval before changes, keep secrets out of , use least-privilege credentials, run dry checks, review Terraform plans before applying, and use CI checks before merging.
Key points
- The list focuses on AI agent tools for DevOps, cloud, SRE, and .
- Entries are judged by , , audit evidence, maturity, and practical usefulness.
- It points to official tools from AWS, Azure, Google Cloud, GitHub, Terraform, Grafana, Datadog, PagerDuty, and others.
- The recommended starting mode is read-only or proposal-only before allowing real changes.
- Secrets should stay out of , and agents should use .