About Awesome DevOps MCP Servers
A curated directory of community MCP servers for DevOps workflows, covering infrastructure as code, orchestration, CI/CD, monitoring, security, and utilities. It includes both production-ready and experimental projects.
Key features
- 01Organizes servers by DevOps domain
- 02Covers cloud and local services
- 03Labels language and service scope
- 04Lists production-ready and experimental projects
Use cases
- 01Find MCP servers for infrastructure management
- 02Explore Kubernetes and container orchestration integrations
- 03Locate CI/CD or monitoring integrations
- 04Discover DevOps security services
MCP support
This is a directory of MCP servers, not an individual server. It collects projects for DevOps workflows so users can find and evaluate them.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEAwesome DevOps MCP Servers 
A curated list of awesome Model Context Protocol (MCP) servers for DevOps.
- What is MCP?
- Infrastructure as Code
- Container Orchestration
- CI/CD
- Monitoring & Observability
- Security
- Utilities
What is MCP?
MCP is an open protocol that enables AI models to securely interact with local and remote resources through standardized server implementations. This list focuses on production-ready and experimental MCP servers for DevOps workflows.
Legend
- 🎖️ – official implementation
- programming language
- 🐍 – Python codebase
- 📇 – TypeScript codebase
- 🏎️ – Go codebase
- 🦀 – Rust codebase
- scope
- ☁️ - Cloud Service
- 🏠 - Local Service
Infrastructure as Code
MCP servers for infrastructure provisioning and management.
- nwiizo/tfmcp 🦀 🏠 - Terraform MCP server for managing infrastructure as code
- alexei-led/aws-mcp-server 🐍 ☁️ - Execute AWS CLI commands in a secure Docker environment
- jdubois/azure-cli-mcp 🐍 ☁️ - Azure CLI wrapper for direct Azure management
- bright8192/esxi-mcp-server 🐍 ☁️ - VMware ESXi/vCenter management server
Container Orchestration
Kubernetes and container management MCP servers.
- alexei-led/k8s-mcp-server 🐍 - Kubernetes CLI commands execution
- flux159/mcp-server-kubernetes 📇 ☁️/🏠 - Kubernetes cluster operations
- manusa/Kubernetes MCP Server 🏎️ 🏠 - Powerful Kubernetes server with OpenShift support
- weibaohui/k8m 🏎️ ☁️/🏠 - Multi-cluster Kubernetes management with 50+ tools
CI/CD
Continuous integration and delivery MCP servers.
- jenkins-mcp-server 🏎️ 🏠 - Jenkins automation server integration
- argocd-mcp-server 🏎️ ☁️ - ArgoCD GitOps continuous delivery
- github-actions-mcp 📇 ☁️ - GitHub Actions workflow management
Monitoring & Observability
Observability and monitoring MCP servers.
- prometheus-mcp-server 🏎️ 🏠 - Prometheus monitoring system
- grafana-mcp-server 📇 ☁️ - Grafana metrics visualization
- datadog-mcp-server 🐍 ☁️ - Datadog monitoring integration
Security
DevOps security MCP servers.
- vault-mcp-server 🏎️ 🏠 - HashiCorp Vault secrets management
- aqua-mcp-server 🏎️ ☁️ - Aqua Security container scanning
- snyk-mcp-server 📇 ☁️ - Snyk vulnerability scanning
Utilities
Other useful DevOps MCP servers.
- ansible-mcp-server 🐍 🏠 - Ansible configuration management
- pulumi-mcp-server 🏎️ ☁️ - Pulumi infrastructure as code
- terragrunt-mcp-server 🏎️ 🏠 - Terragrunt wrapper for Terraform
Acknowledgement
We extend our thanks to the team from DB-GPT for their support and shared knowledge. Their mission and community contributions help drive innovations like derisk forward.
Stay tuned for updates and the official release of our repository. Together, let's build a thriving open-source agent ecosystem!
Community Group
Join our networking group on Feishu and share your experience with other developers!
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.