Enterprise DevOps MCP Server
Enables AI agents to securely manage Linux, Docker, Kubernetes, and SSH infrastructure through MCP with permission control, audit logging, and dangerous command filtering.
README
Enterprise DevOps MCP Server
中文 | English
Enterprise AI DevOps MCP Server for secure infrastructure automation with MCP, Docker, Kubernetes and SSH.
基于 MCP(Model Context Protocol) 的企业级 AI 运维 Agent Server:
让 AI Agent 在安全控制下管理 Linux、Docker、Kubernetes 与 SSH 基础设施。
AI Agent → MCP Server → Security Layer → Infrastructure
Architecture · Security · Contributing · Changelog · Release Notes
Why This Project
传统运维
| 痛点 | 表现 |
|---|---|
| SSH 手动执行 | 工程师逐条敲命令,难规模化 |
| 权限不可控 | 模型或脚本一旦拿到 shell,几乎等同 root |
| 缺少审计 | 谁改了什么、何时执行,事后难追溯 |
Engineer → SSH → Manual Command
AI DevOps(本项目)
AI Agent
↓
MCP Tool
↓
Security Layer
↓
Infrastructure
AI 不直接拥有服务器权限。 每次调用都经过 Permission Control、Execute Protection、Command Filtering 与 Audit Logging。
Features
| Feature | Status |
|---|---|
| Linux Monitoring | ✅ |
| Docker Management | ✅ |
| Kubernetes | ✅ |
| SSH Automation | ✅ |
| Permission Control | ✅ |
| Execute Protection | ✅ |
| Audit Logging | ✅ |
| Docker Deployment | ✅ |
| GitHub Actions CI | ✅ |
MCP Tools:17(System 7 · Docker 3 · Kubernetes 4 · SSH 3)
Security
企业级默认:只读运维。
EXECUTE_TOOLS_ENABLED=false
| 能力 | 说明 |
|---|---|
| ReadOnly / Execute 分离 | 巡检与变更权限拆分 |
| 默认关闭执行权限 | 管理员显式开启后才可修改 |
| Dangerous command filtering | 建连前拦截危险 SSH 命令 |
| Audit trail | Tool 调用可查询留痕 |
拦截示例
rm -rf /
↓
Blocked by security module
(不会发起远程 SSH)
Architecture
AI Agent
|
MCP Protocol
|
Enterprise DevOps MCP Server
|
------------------------------------------------
| | | |
System Docker Kubernetes SSH
|
Security Layer
Screenshots
- MCP Server Connection
- AI Infrastructure Health Check
- Docker Container Inspection
- MySQL Log Analysis
- SSH Security Filter
- Disk Cleanup Automation






Quick Start
git clone https://github.com/zhifengjin050-arch/enterprise-devops-mcp-server.git
cd enterprise-devops-mcp-server
pip install -r requirements.txt
cp .env.example .env
python -m app.server
Cursor MCP
将 cwd 设为 YOUR_PROJECT_PATH(勿提交真实路径):
{
"mcpServers": {
"enterprise-devops": {
"command": "python",
"args": ["scripts/run_devops_mcp.py"],
"cwd": "YOUR_PROJECT_PATH",
"env": {
"FASTMCP_SHOW_SERVER_BANNER": "false",
"EXECUTE_TOOLS_ENABLED": "false"
}
}
}
}
示例:mcp_config_examples/cursor_mcp.json
Test
pytest
Docker
docker compose up -d --build
Project Structure
enterprise-devops-mcp-server/
├── README.md / README_EN.md
├── CONTRIBUTING.md / CHANGELOG.md
├── LICENSE
├── app/ # MCP Server + Tools + Security
├── docs/ # Architecture / Security / Screenshots
├── examples/ # MCP client examples
├── tests/ # 225+ pytest cases
└── .github/workflows/ # CI
Contributing
License
Disclaimer
开启执行权限后,本软件可控制服务器与容器。请先在非生产环境验证。
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