Awesome DevOps MCP Servers
@derisk-ai
关于 Awesome DevOps MCP Servers
MCPServers in the DevOps domain.
基本信息
配置
工具
未检测到工具
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
概览
What is Awesome DevOps MCP Servers?
It is a curated list of Model Context Protocol (MCP) servers for DevOps workflows, covering infrastructure as code, container orchestration, CI/CD, monitoring, security, and utilities. It includes both official and community implementations, with indicators for programming language and deployment scope.
How to use Awesome DevOps MCP Servers?
Browse the categories to find a server that fits your need. Each entry provides a link to the repository, language and scope tags. No specific commands or configuration keys are described for the list itself.
Key features of Awesome DevOps MCP Servers?
- Curated collection of production-ready and experimental MCP servers
- Categorized by DevOps domain (IaC, Kubernetes, CI/CD, etc.)
- Language indicators: Python, TypeScript, Go, Rust
- Scope indicators: cloud service or local service
- Official implementations marked with a badge
Use cases of Awesome DevOps MCP Servers?
- Manage infrastructure as code via Terraform, Pulumi, or Terragrunt
- Interact with Kubernetes clusters for operations and deployments
- Trigger and monitor CI/CD pipelines from Jenkins, ArgoCD, or GitHub Actions
- Query metrics and logs from Prometheus, Grafana, or Datadog
- Handle secrets and security scanning with Vault, Snyk, or Aqua
FAQ from Awesome DevOps MCP Servers
What is MCP?
MCP is an open protocol that enables AI models to securely interact with local and remote resources through standardized server implementations.
What do the scope tags mean?
Servers are tagged ☁️ for cloud services or 🏠 for local services, indicating where they run.
Are there official implementations in the list?
Yes, official implementations are marked with 🎖️.
What programming languages are used?
Servers are built with Python (🐍), TypeScript (📇), Go (🏎️), or Rust (🦀).
Does this list include experimental servers?
Yes, it includes both production-ready and experimental MCP servers.
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