Best MCP Servers for DevOps
Version control, CI/CD, project management, and error tracking — connected to your AI assistant.
10 DevOps servers reviewed. 7 recommended, 3 conditional, 0 skip.
✅ Recommended
Cloudflare MCP Servers
✅ RecommendedOfficial Cloudflare catalog of managed remote MCP servers — Workers, KV, R2, D1, DNS, CDN, and security management through OAuth with zero local install.
Azure MCP Server
✅ RecommendedOfficial Microsoft server — 40+ Azure services in one MCP integration with Entra ID auth and RBAC-based permissions. GA status.
AWS MCP Servers
✅ RecommendedOfficial AWS suite of 20+ specialized MCP servers — from core API access to CDK, CloudWatch, DynamoDB, S3, Bedrock, and more.
Git MCP Server
✅ RecommendedAnthropic's reference server for local Git operations — read files, search commits, view diffs, and inspect history without API keys.
GitHub MCP Server
✅ RecommendedConnects Claude to GitHub's API — browse repos, manage issues and PRs, monitor Actions workflows, and analyze code security findings through natural language.
GitLab MCP Server
✅ RecommendedThree integration paths — GitLab's built-in MCP (18.6+), Anthropic's reference server, and feature-rich community options with 60+ tools.
Terraform MCP Server
✅ RecommendedOfficial HashiCorp server for Terraform Registry discovery, provider documentation, and HCP Terraform workspace management with destructive-ops gating.
⚠️ Conditional
Docker MCP (mcp_docker)
⚠️ ConditionalManage Docker containers, images, networks, and volumes through natural language — the best community server for container operations.
Grafana MCP Server
⚠️ ConditionalOfficial Grafana server for searching dashboards, running PromQL and LogQL queries, managing OnCall, and working with Tempo traces — all from your AI client.
Sentry MCP Server
⚠️ ConditionalOfficial Sentry server for searching issues, events, and errors — includes AI-powered fix recommendations via Sentry's Seer integration.
How We Test DevOps MCP Servers
Every DevOps server was installed, authenticated with real accounts, and tested with actual repositories, projects, and workflows. We verify core operations — browsing repos, managing issues, interacting with CI pipelines — and note where setup complexity or permission models create friction.