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Awesome DevOps MCP Servers

@derisk-ai

基本情報

カテゴリ

クラウドとインフラ

ライセンス

MIT

トランスポート

stdio

作者

derisk-ai

Awesome DevOps MCP Servers について

MCPServers in the DevOps domain.

Awesome DevOps MCP Servers の設定

標準の設定はありません

このサーバーの README には解析可能な MCP 設定ブロックが含まれていません。インストール手順はリポジトリをご確認ください。

リポジトリ

Awesome DevOps MCP Servers のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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

よくある質問

1

What is MCP?

MCP is an open protocol that enables AI models to securely interact with local and remote resources through standardized server implementations.

2

What do the scope tags mean?

Servers are tagged ☁️ for cloud services or 🏠 for local services, indicating where they run.

3

Are there official implementations in the list?

Yes, official implementations are marked with 🎖️.

4

What programming languages are used?

Servers are built with Python (🐍), TypeScript (📇), Go (🏎️), or Rust (🦀).

5

Does this list include experimental servers?

Yes, it includes both production-ready and experimental MCP servers.

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