MCP Server

Active

MIT

io.github.vfarcic/dot-ai MCP Server

io.github.vfarcic/dot-ai

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

Repository Registry

What is the io.github.vfarcic/dot-ai MCP server?

The DevOps AI Toolkit MCP server is an AI-powered platform for Kubernetes operations and DevOps automation accessible through the Model Context Protocol. It enables natural language cluster querying, intelligent deployment recommendations, issue remediation, and organizational pattern management for cloud-native development workflows.

This server brings AI intelligence to platform engineering and Kubernetes operations. You can query clusters in natural language, get deployment recommendations, perform root cause analysis, manage organizational policies, search documentation semantically, and automate repository setup with governance files. It's designed for teams managing Kubernetes infrastructure who want AI-assisted decision-making and automation.

How to install io.github.vfarcic/dot-ai

Copy-paste configuration for popular MCP clients.

transport: stdio

Config generated by PluginBench — verify against the source before use.

~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "dot-ai": {
      "command": "npx",
      "args": [
        "-y",
        "@vfarcic/dot-ai"
      ]
    }
  }
}

Tools & capabilities

Tools this server exposes to the agent.

Natural language cluster querying — Query and explore Kubernetes clusters using conversational natural language
Intelligent deployment recommendations — Receive AI-powered suggestions for Kubernetes deployments
Issue remediation and root cause analysis — Automated analysis and remediation of infrastructure issues
Organizational pattern and policy management — Manage and enforce organizational patterns and policies
Semantic search — Search over organizational documentation semantically
Repository setup automation — Automated repository setup with governance files
Shared prompt libraries — Access and manage shared prompt libraries for consistent workflows

Use cases

Query Kubernetes clusters using natural language to explore resources and troubleshoot issues
Get AI-powered recommendations for optimizing Kubernetes deployments and configurations
Perform automated root cause analysis and remediation for infrastructure problems
Manage organizational DevOps patterns and policies across teams
Search organizational documentation semantically to find relevant runbooks and guides
Automate repository initialization with governance files and compliance templates

io.github.vfarcic/dot-ai MCP server FAQ

What is the DevOps AI Toolkit MCP server?

It's an AI-powered platform for Kubernetes operations and DevOps automation that integrates with AI coding assistants via the Model Context Protocol. It provides natural language cluster querying, deployment recommendations, issue analysis, and organizational policy management.

Is it free?

The project is open source under the MIT License, so it's free to use. However, you may incur costs for Kubernetes infrastructure and AI provider services depending on your setup.

How do I install it in Cursor or Claude?

Install via npm: `npm install @vfarcic/dot-ai`. Then configure it as an MCP server in your AI assistant. See the MCP Setup documentation at devopstoolkit.ai/docs/mcp/ for detailed configuration instructions.

What authentication is required?

You'll need access to a Kubernetes cluster and credentials to query it. Additional authentication depends on your specific organizational setup and integrations.

Do I need Kubernetes experience?

While Kubernetes knowledge is helpful, the natural language interface is designed to make cluster operations more accessible. The AI provides intelligent recommendations and explanations.

What's the current status of the project?

The project is in beta status. It's actively maintained and welcomes community contributions. Check the roadmap and GitHub discussions for upcoming features.

README (reference)

Source of truth, from the repository.

DevOps AI Toolkit

</div>

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

AI Engine Docs | MCP Setup

</div>

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

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

Support Guide - How to get help and where to ask questions
GitHub Issues: Bug reports and feature requests
GitHub Discussions: Community Q&A and discussions

Contributing & Governance

We welcome contributions from the community! Please review:

Contributing Guidelines - How to contribute code, docs, and ideas
Code of Conduct - Community standards and expectations
Security Policy - How to report security vulnerabilities
Governance - Project governance and decision-making
Maintainers - Current project maintainers
Roadmap - Project direction and priorities

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:

Model Context Protocol for AI integration framework
Vercel AI SDK for unified AI provider interface
Kubernetes for the cloud native foundation
CNCF for the cloud native ecosystem

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

Related MCP servers

Studio Signal

AI-powered media & entertainment intelligence — research, briefs, and market data.

View repository →

Apple Books

Maintained

Access your Apple Books library, annotations, and highlights through Claude for reading insights and reflection.

Python

Apache-2.0

View repository →

AgentBase

Maintained

Shared knowledge base for AI agents. Semantic search across agents, no setup required — just a URL.

TypeScript

MIT

View repository →

Onboard

Active

Your AI copilot for customer onboarding — projects, KPIs, tasks, and safe writes.

MIT

View repository →

VibeHacker

Active

Product Hunt for AI tools. Search, submit, upvote from Claude Code or Cursor.

View repository →

io.github.vibeads/mcp

Maintained

Manage Google Ads from Claude: read metrics, draft campaigns, publish with human approval.

TypeScript

MIT

View repository →