Curated list of official MCP servers for AI DevOps work

A now collects official MCP servers, , and agent toolkits for DevOps, cloud, , SRE, security, IaC, , and diagramming work. The goal is to help people find trusted tools instead of sorting through random MCP lists. The current list covers AWS, Azure, , GitHub, GitLab, Azure DevOps, Atlassian, Terraform, Pulumi, Grafana, Datadog, Sentry, Splunk, PagerDuty, SonarQube, Okta, Databricks, Kubeflow, Docker, Kubernetes, draw.io, and agent-related toolkits.

The list focuses on official or vendor-backed tools where possible, with notes about risk, write access, human approval, and real operations use cases. Specialized DevOps and SRE agents and reference workflows are planned next.

Key points

  • The repository gathers official or vendor-backed MCP servers and .
  • It covers cloud, code hosting, , monitoring, security, data, containers, and diagramming tools.
  • Safety notes include risk, write access, human approval, and operations use cases.
  • More specialized DevOps and SRE agents and reference workflows are planned.
  • Solo makers using AI tools for can use it as a starting checklist.
Read original