# Awesome DevOps MCP Servers — Ops-Focused MCP List

> DevOps-focused MCP server directory for CI/CD, monitoring, security, and infra automation. Helps map ops tools into auditable agent surfaces.

## Install

Merge the JSON below into your `.mcp.json`:

## Quick Use

```bash
git clone https://github.com/rohitg00/awesome-devops-mcp-servers
cd awesome-devops-mcp-servers
less README.md
```

## Intro

This DevOps MCP directory helps you find servers for monitoring, incident response, CI, and security so your agent can operate with safer, auditable tool calls.

**Best for:** SRE/DevOps teams standardizing MCP servers for observability and infra automation

**Works with:** Any MCP client; servers vary by language/runtime; prefer entries with clear env docs

**Setup time:** 3–10 minutes

### Key facts (verified)

- Use it to compose an “ops tool chain”: monitoring → tracing → tickets → deploy, each as an MCP server surface.
- Pair it with policy/scanning so production credentials don’t leak into untrusted tools.
- GitHub: 982 stars · 255 forks; pushed 2026-05-12 (GitHub API verified).

## Main

A simple adoption path for DevOps MCP stacks:

- Start with read-only diagnostics (metrics, traces, logs) and only later enable mutating actions (deploy, scale, delete).
- Add a “human approval” gate for high-impact tools and keep an audit log of tool calls.
- Version your `.mcp.json` configs and treat them like code (PR review + CI scanning).


### README excerpt (verbatim)

# Awesome DevOps MCP Servers [![Awesome](https://awesome.re/badge.svg)](https://awesome.re)

A curated list of awesome Model Context Protocol (MCP) servers focused on DevOps tools and capabilities.

## What is MCP?

[MCP](https://modelcontextprotocol.io/) is an open protocol that enables AI models to securely interact with local and remote resources through standardized server implementations. This list focuses on DevOps-related MCP servers that extend AI capabilities through cloud infrastructure management, CLI operations, version control, security scanning, and other DevOps-related services.

## Related Resources

- [awesome](https://github.com/sindresorhus/awesome#readme) - Awesome lists about all kinds of interesting topics.
- [awesome-mcp-servers](https://github.com/punkpeye/awesome-mcp-servers/) - A comprehensive list of all MCP servers.
- [awesome-mcp-clients](https://github.com/punkpeye/awesome-mcp-clients/) - A list of MCP clients.

## Legend

- 🎖️ – official implementation
- programming language
  - 🐍 – Python codebase
  - 📇 – TypeScript (or JavaScript) codebase
  - 🏎️ – Go codebase
  - 🦀 – Rust codebase
  - #️⃣ - C# Codebase
  - ☕ - Java codebase
- scope
  - ☁️ - Cloud Service
  - 🏠 - Local Service
  - 📟 - Embedded Systems
- operating system
  - 🍎 – For macOS
  - 🪟 – For Windows
  - 🐧 - For Linux

## Server Implementations

## Cloud Infrastructure

### 🏗️ Infrastructure as Code
Tools for managing infrastructure through code, including Terraform, Pulumi, and other IaC platforms.

- [dulltz/mcp-server-hcp-terraform](https://github.com/dulltz/mcp-server-hcp-terraform) 🐍 ☁️ - MCP server for working with HashiCorp Cloud Platform (HCP) Terraform, enabling AI assistants to interact with Terraform Cloud resources.
- [guilhermeyoshida/mcp-terraform-assistant](https://github.com/guilhermeyoshida/mcp-terraform-assistant) 🐍 🏠 - An MCP server for managing infrastructure as code using Terraform.
- [jashkahar/Terraform-MCP-Server](https://github.com/jashkahar/Terraform-MCP-Server) 🐍 ☁️ - This project provides an MCP server that exposes Terraform infrastructure-as-code operations through natural language.
- [nwiizo/tfmcp](https://github.com/nwiizo/tfmcp) 🦀 🏠 - A Terraform MCP server allowing AI assistants to manage and operate Terraform environments, enabling reading configurations, analyzing plans, applying configurations, and managing Terraform state.

### FAQ

**Q: Why a DevOps-specific MCP list?**
A: It narrows choices to ops surfaces (CI, monitoring, infra) so you can standardize a reliable agent toolchain.

**Q: How do I keep it safe?**
A: Start read-only, scan third-party servers, and require approvals for destructive actions.

**Q: What should I pick first?**
A: Metrics/logs/traces servers first; then tickets/change management; deploy tools last.

## Source & Thanks

> Source: https://github.com/rohitg00/awesome-devops-mcp-servers
> License: MIT
> GitHub stars: 982 · forks: 255

---

<!-- ZH -->

## 快速使用

```bash
git clone https://github.com/rohitg00/awesome-devops-mcp-servers
cd awesome-devops-mcp-servers
less README.md
```

## 简介

这个 DevOps MCP 目录聚焦监控、应急、CI 与安全等场景，便于把 Agent 的操作能力落到可审计、可控的工具调用上。

**最适合：** 要标准化可观测与基础设施自动化 MCP servers 的 SRE/DevOps 团队

**适配：** 任意 MCP 客户端；server 语言/运行时不一；优先选择环境变量说明清晰的条目

**配置时间：** 3–10 分钟

### 关键事实（已验证）

- 可用它组合一条“运维工具链”：监控→追踪→工单→发布，每段映射为 MCP server 工具面。
- 建议配合策略/扫描层，避免生产凭据泄露到不可信工具中。
- GitHub：982 stars · 255 forks；最近更新 2026-05-12（GitHub API 验证）。

## 正文

落地 DevOps MCP 栈可以走一个更稳的路径：

- 先只接入只读诊断（metrics/traces/logs），确认稳定后再开放变更类动作（deploy/scale/delete）。
- 对高影响工具增加“人类确认”门槛，并保留工具调用审计日志。
- 把 `.mcp.json` 当成代码管理：版本化 + PR review + CI 扫描。


### README 原文节选（verbatim）

# Awesome DevOps MCP Servers [![Awesome](https://awesome.re/badge.svg)](https://awesome.re)

A curated list of awesome Model Context Protocol (MCP) servers focused on DevOps tools and capabilities.

## What is MCP?

[MCP](https://modelcontextprotocol.io/) is an open protocol that enables AI models to securely interact with local and remote resources through standardized server implementations. This list focuses on DevOps-related MCP servers that extend AI capabilities through cloud infrastructure management, CLI operations, version control, security scanning, and other DevOps-related services.

## Related Resources

- [awesome](https://github.com/sindresorhus/awesome#readme) - Awesome lists about all kinds of interesting topics.
- [awesome-mcp-servers](https://github.com/punkpeye/awesome-mcp-servers/) - A comprehensive list of all MCP servers.
- [awesome-mcp-clients](https://github.com/punkpeye/awesome-mcp-clients/) - A list of MCP clients.

## Legend

- 🎖️ – official implementation
- programming language
  - 🐍 – Python codebase
  - 📇 – TypeScript (or JavaScript) codebase
  - 🏎️ – Go codebase
  - 🦀 – Rust codebase
  - #️⃣ - C# Codebase
  - ☕ - Java codebase
- scope
  - ☁️ - Cloud Service
  - 🏠 - Local Service
  - 📟 - Embedded Systems
- operating system
  - 🍎 – For macOS
  - 🪟 – For Windows
  - 🐧 - For Linux

## Server Implementations

## Cloud Infrastructure

### 🏗️ Infrastructure as Code
Tools for managing infrastructure through code, including Terraform, Pulumi, and other IaC platforms.

- [dulltz/mcp-server-hcp-terraform](https://github.com/dulltz/mcp-server-hcp-terraform) 🐍 ☁️ - MCP server for working with HashiCorp Cloud Platform (HCP) Terraform, enabling AI assistants to interact with Terraform Cloud resources.
- [guilhermeyoshida/mcp-terraform-assistant](https://github.com/guilhermeyoshida/mcp-terraform-assistant) 🐍 🏠 - An MCP server for managing infrastructure as code using Terraform.
- [jashkahar/Terraform-MCP-Server](https://github.com/jashkahar/Terraform-MCP-Server) 🐍 ☁️ - This project provides an MCP server that exposes Terraform infrastructure-as-code operations through natural language.
- [nwiizo/tfmcp](https://github.com/nwiizo/tfmcp) 🦀 🏠 - A Terraform MCP server allowing AI assistants to manage and operate Terraform environments, enabling reading configurations, analyzing plans, applying configurations, and managing Terraform state.

### FAQ

**为什么要专门的 DevOps MCP 目录？**
答：它聚焦 CI/监控/基础设施等运维工具面，方便你标准化 Agent 的可靠工具链。

**怎么保证安全？**
答：从只读开始，扫描第三方 server，对破坏性动作增加审批。

**第一批应该选什么？**
答：先选 metrics/logs/traces，再选工单/变更管理，最后再选发布/部署工具。

## 来源与感谢

> Source: https://github.com/rohitg00/awesome-devops-mcp-servers
> License: MIT
> GitHub stars: 982 · forks: 255


---
Source: https://tokrepo.com/en/workflows/awesome-devops-mcp-servers-ops-focused-mcp-list
Author: MCP Hub