awesome-mcp-servers-devops
Active·★ 97·CC0-1.0·Updated 2026-10-14
This is a curated list of Model Context Protocol (MCP) servers designed for various DevOps workflows. It provides a comprehensive collection of tools spanning infrastructure management, CI/CD, monitoring, security, and cloud operations, enabling AI assistants to interact with and automate complex development and operations tasks.
#DevOps#MCP#Servers#Automation#Infrastructure#CI/CD#Observability#Security
01
Features
01Comprehensive collection of MCP servers for DevOps.
02Covers key DevOps areas: Infrastructure, CI/CD, Monitoring, Security, Cloud.
03Integrates AI assistants with existing DevOps tools and platforms.
04Categorized and curated for easy discovery of relevant tools.
05Includes safety recommendations for AI-driven operations.
02
Compatibility
Model Context Protocol
Protocol
Verified via docs
DevOps Toolchains
Ecosystem
Verified via docs
AI Agents/LLMs
Integration
Verified via docs
Docker
Deployment
Verified via docs
Kubernetes
Platform
Verified via docs
03
Quick start
1
$ N/A
04
Use cases
↳Automating infrastructure provisioning and management tasks.
↳Enhancing CI/CD pipelines with AI-driven operations and monitoring.
↳AI-assisted system monitoring, alert management, and incident response.
↳Implementing AI-powered security scanning, vulnerability checks, and auditing.
↳Streamlining cloud resource operations and management across various platforms.
05
Alternatives
teamcity-mcp★ 31
Model Context Protocol (MCP) server for JetBrains TeamCity: control builds, tests, agents and configs from AI coding assistants.
cli★ 48
Runtime intelligence system that makes MCP servers debuggable, testable, and safe to run in production.
devopness★ 572
Devopness: AI DevOps on your cloud. Deploy apps, infra and CI/CD. Any cloud and any stack, one MCP. Deterministic API, opinionated and fully configurable. No cloud credentials in AI chats. Free plan.
pctx★ 282
pctx is the execution layer for agentic tool calls. It auto-converts agent tools and MCP servers into code that runs in secure sandboxes for token-efficient workflows.
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