Devops MCP Server

AI-powered DevOps knowledge base with practices, templates, and automation tools

Local serverstdioPython

What is the Devops MCP server?

Connect Devops to Claude, Cursor or any other MCP client and it stops being a tab you switch to. AI-powered DevOps knowledge base with practices, templates, and automation tools. The devops mcp server is what makes that connection.

What the server does

Tired of maintaining massive CLAUDE.md files (1000+ lines) across multiple projects? This MCP centralizes reusable DevOps instructions for engineers working on multiple PoCs, eliminating repeated instructions across projects and folders.

  • ❌ Large CLAUDE.md files eat up context window
  • ❌ Same practices duplicated across every project
  • ❌ Reinventing TRACKER.md, ISSUES.md, docs, SoPs for every PoC
  • ❌ Inconsistent standards across projects
  • ❌ Context wasted on instructions instead of actual work
  • Pre-built structure - Templates for TRACKER, ISSUES, docs, SoPs

Installation

devops-practices-mcp on PyPI is all you need. Most clients run it directly, so configuration is a few lines and a restart.

Available tools

The toolset is worth reading before you wire it up, because it tells you what the integration is really for:

  • list_practices — List all available practices
  • get_practice — Get practice content by name
  • list_templates — List all available templates
  • get_template — Get template content by name
  • render_template — Render template with variable substitution
  • Benefits — The Benefits tool exposed by this server

Credentials and setup notes

Configuration is passed through the environment: PYTHONUNBUFFERED, PROJECT_NAME, SESSION_NUMBER, TITLE, CLUSTER_NAME, OBJECTIVE_DESCRIPTION, DATE, PHASE_NAME. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.

Worth knowing first

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • Keep per-call confirmation enabled while you learn its behaviour; it is the cheapest safeguard you have.

Where it fits

Among the developer tooling options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Devops's toolset — list_practices, get_practice, list_templates and 3 more — is a fair guide to whether it matches your workflow. It is maintained by ai-4-devops; worth a glance at recent repository activity before you build anything load-bearing on it.

SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.

Available tools

ToolWhat it does
list_practicesList all available practices
get_practiceGet practice content by name
list_templatesList all available templates
get_templateGet template content by name
render_templateRender template with variable substitution
BenefitsThe Benefits tool exposed by this server.

How to install the Devops MCP server

{
  "mcpServers": {
    "devops-practices": {
      "command": "python3",
      "args": ["-u", "~/.mcp-servers/devops-practices/mcp-server.py"],
      "env": {"PYTHONUNBUFFERED": "1"}
    }
  }
}

Configuration as documented by the project. Restart the client after saving.

Configuration

VariableDescriptionRequired
PYTHONUNBUFFEREDConfiguration value read at startup.Optional
PROJECT_NAMEConfiguration value read at startup.Optional
SESSION_NUMBERConfiguration value read at startup.Optional
TITLEConfiguration value read at startup.Optional
CLUSTER_NAMEConfiguration value read at startup.Optional
OBJECTIVE_DESCRIPTIONConfiguration value read at startup.Optional
DATEConfiguration value read at startup.Optional
PHASE_NAMEConfiguration value read at startup.Optional

Example prompts to try

  • Use Devops to list practices.
  • Use Devops to get practice.
  • Use Devops to list templates.

Frequently asked questions

It connects Devops to MCP-compatible AI assistants such as Claude and Cursor, exposing 6 tools (list_practices, get_practice, list_templates, and more) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with Devops directly.