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Devops Ai Toolkit

Devops Ai Toolkit

Local
github.com/vfarcicDeveloper Tools339Updated 4w ago
Repository

About Devops Ai Toolkit

DevOps AI Toolkit is an AI-assisted platform for Kubernetes operations and development workflows, reachable through MCP or a command-line interface. It covers cluster querying, deployment recommendations, troubleshooting and organizational policy management. It separates cluster output from operator instructions during remediation.

Key features

  1. 01Natural language querying of Kubernetes clusters
  2. 02Deployment recommendations and root cause analysis
  3. 03Organizational pattern and policy management
  4. 04Semantic search over organizational documentation
  5. 05Repository setup with governance files

Use cases

  1. 01Investigating cluster issues through an AI coding assistant
  2. 02Generating Kubernetes deployment recommendations
  3. 03Setting up new repositories with shared governance files and prompts

MCP support

The toolkit is accessed through MCP by AI coding assistants, and it also offers a CLI for direct agent integration.

#kubernetes#deployment#mcp#devops#containers#ai#automation#cloud-native

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "dot-ai": {
      "command": "npx",
      "args": [
        "-y",
        "@vfarcic/dot-ai"
      ]
    }
  }
}
Run commandnpx -y @vfarcic/dot-ai

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@vfarcic/dot-ai0.112.0

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

DevOps AI Toolkit

DevOps AI Toolkit Logo

npm version npm downloads GitHub release License Project Status OpenSSF Scorecard GitHub stars

AI-powered platform engineering and DevOps automation through intelligent Kubernetes operations and conversational workflows.

Overview

DevOps AI Toolkit brings AI-powered intelligence to platform engineering, Kubernetes operations, and development workflows. Access it through MCP for AI coding assistants or the CLI for direct agent integration.

Key capabilities:

  • Natural language cluster querying and exploration
  • Intelligent Kubernetes deployment recommendations
  • AI-powered issue remediation and root cause analysis
  • Organizational pattern and policy management
  • Semantic search over organizational documentation
  • Automated repository setup with governance files
  • Shared prompt libraries for consistent workflows
  • Untrusted-content boundary separating cluster output from operator instruction in remediation and Day 2 operations

Deployment

For the easiest setup, we recommend installing the complete dot-ai stack which includes all components pre-configured. See the Stack Installation Guide.

For individual component installation, see the Deployment Guide.

AI Engine Docs | MCP Setup

Support

Contributing & Governance

We welcome contributions from the community! Please review:

License

MIT License - see LICENSE file for details.

Telemetry

This project collects anonymous usage analytics to improve the product. Learn more or opt out.

Acknowledgments

DevOps AI Toolkit is built on:

DevOps AI Toolkit - Making cloud native operations accessible through AI-powered intelligence.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.