Log inSubmit server
Dot AI logo

Dot AI

Connects AI coding assistants to Kubernetes operations, deployment guidance, remediation, documentation search, and development workflows.

InstallRepositoryWebsite
Full README Compare alternatives Embed widget Claim this listing

Install Dot AI

Pick your client, then add it in one click or paste the config.

STDIONode.js
~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "dot-ai": {
      "command": "npx",
      "args": [
        "-y",
        "@vfarcic/dot-ai"
      ]
    }
  }
}

Settings → Developer → Edit Config, merge this into mcpServers, then fully quit and reopen Claude Desktop.

We couldn’t confirm it starts correctly

We ran the install command but it didn't respond within our test window — this can mean a slow first-time install rather than a real problem.

npx -y @vfarcic/dot-ai

No response to initialize.

This is an experimental automated check and can have false negatives — missing environment variables, a slow cold install, etc. It doesn’t necessarily mean something’s wrong. Last checked 3d ago.

Overview

The dot-ai MCP server brings Kubernetes operations and platform-engineering workflows into AI coding assistants through the Model Context Protocol. It supports natural-language cluster exploration, deployment recommendations, issue remediation, root-cause analysis, organizational policy management, and semantic search across documentation. It also supports repository setup with governance files and shared prompts for repeatable workflows. Reach for it when an agent needs context about Kubernetes environments or organization-specific development practices.

Use cases

  • Query Kubernetes cluster state in natural language
  • Review deployment recommendations
  • Investigate operational issues and likely root causes
  • Search organizational documentation semantically
  • Initialize repositories with governance files

Key features

  • Natural-language Kubernetes exploration
  • Deployment recommendations
  • Issue remediation and root-cause analysis
  • Organizational policy and pattern management
  • Semantic documentation search
  • Repository governance setup

Security & health

What it can reach and how reliably it runs — from our own checks, not the maintainer’s claims.

ActiveLast checked 1d ago

Recent health check succeeded.

9/9 checks healthy over the last 49d

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 8d ago via OSV.dev · @vfarcic/dot-ai (npm)

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars338Stargazers on the source repository.
npm downloads1.4kPackage downloads in the last 30 days.
Last commit4d agoMost recent push to the default branch.
Install checkInconclusiveDidn't respond in our test window — often a slow first install.

How Dot AI works

What dot-ai does

The dot-ai MCP server connects AI-assisted development workflows with Kubernetes operations and platform-engineering tasks. It is designed for teams that want to use conversational requests to inspect cluster state, reason about deployments, investigate operational problems, and apply organization-specific guidance.

The project exposes its capabilities through MCP for AI coding assistants and also provides a CLI for direct agent integration. The MCP interface is the relevant option when an assistant needs access to the toolkit as part of a coding or operations conversation.

Supported use cases include querying and exploring clusters in natural language, receiving Kubernetes deployment recommendations, and analyzing issues for possible remediation and root causes. The toolkit also covers organizational patterns and policies, documentation search, repository initialization, and shared prompt management.

How it works

An MCP-compatible assistant communicates with the toolkit and can request information or assistance related to Kubernetes and development workflows. Cluster output is handled separately from operator instructions during remediation and Day 2 operations through an untrusted-content boundary. This separation is intended to prevent data returned from the cluster from being treated as authoritative instructions.

The project is built around Kubernetes for cloud-native operations and uses the Model Context Protocol as its AI integration framework. Its broader stack also includes the Vercel AI SDK, which provides a common interface for AI providers.

The dot-ai MCP server can be used as an individual component or as part of the complete dot-ai stack. The project documentation recommends the full stack for the simplest setup because its components are preconfigured.

Setup and configuration

The repository provides separate documentation for MCP setup, individual component deployment, and complete stack installation.

The project collects anonymous usage analytics. Its telemetry documentation describes how usage data is handled and how to opt out. Review that information before deploying it in an environment with strict telemetry requirements.

Tools and capabilities

The dot-ai MCP server supports these capability areas:

  • Natural-language Kubernetes cluster queries and exploration
  • Kubernetes deployment recommendations
  • Issue remediation and root-cause analysis
  • Organizational pattern and policy management
  • Semantic search across organizational documentation
  • Automated repository setup with governance files
  • Shared prompt libraries for consistent workflows

These capabilities make the server relevant to both cluster operations and development processes that depend on organizational standards.

Limitations and notes

The project is marked beta in the repository material, so teams should evaluate it against their operational requirements before relying on it for production workflows.

The toolkit is focused on Kubernetes, platform engineering, and related development workflows. It should be evaluated carefully if the intended use case requires a different infrastructure platform or integrations that are not described in the project material. The repository is licensed under MIT.

Read the full README View source on GitHub

Reviews

No reviews yet — be the first to share how it worked for you.

Frequently Asked Questions about Dot AI

dot-ai is an MCP server that connects AI coding assistants to Kubernetes operations and platform-engineering workflows. Its main tools support natural-language cluster querying, deployment recommendations, issue remediation, root-cause analysis, organizational policy management, documentation search, repository setup, and shared prompts.

Install it using the project’s MCP setup or deployment documentation. The repository also recommends installing the complete dot-ai stack for a preconfigured setup, while individual component deployment is documented separately.

It states that dot-ai can be accessed through MCP by AI coding assistants, so consult the project’s MCP setup documentation for client-specific instructions.

Yes, dot-ai supports natural-language querying and exploration of Kubernetes clusters. It also provides deployment recommendations and assistance with issue remediation and root-cause analysis.

Yes, dot-ai supports semantic search over organizational documentation. It also manages organizational patterns and policies so development and operations workflows can use organization-specific guidance.

Related MCP servers

All in Cloud Platforms All alternatives
Add a badge to your READMEShow it’s listed — live SVG, Markdown or HTML.

AllMCPs Directory Badge

Full Badge Customizer

Showcase your server listing on GitHub or your project documentation. Embed this dynamic SVG badge to highlight official listing status and live engagement.

Badge Style:
Live Dynamic SVG PreviewDot AI AllMCPs Directory Badge
Markdown (GitHub README)
[![AllMCPs](https://allmcps.com/api/badge/dot-ai?style=directory)](https://allmcps.com/mcp/dot-ai)
HTML Embed
<a href="https://allmcps.com/mcp/dot-ai"><img src="https://allmcps.com/api/badge/dot-ai?style=directory" alt="Dot AI on AllMCPs" /></a>