Dot AI (Kubernetes Deployment)
by vfarcic · File Systems · mcp-server, ai, npm
Automates Kubernetes deployment workflows with intelligent resource discovery, intent-based recommendations, manifest generation, and deployment execution while capturing organizational patterns through vector search for codifying deployment knowledge and providing deployment guidance.
This MCP server provides AI-powered Kubernetes deployment automation with intelligent resource discovery and organizational pattern management, built by Viktor Farcic using TypeScript with Anthropic Claude for AI analysis, Qdrant for vector storage, and the Kubernetes client library. The implementation offers deployment workflow tools including intent-based recommendations, solution selection, manifest generation, and automated deployment with readiness checking, plus organizational data management for capturing deployment patterns and cluster resource capabilities. Features include semantic search across organizational patterns and cluster resources, documentation testing workflows, session-based pattern creation, and Docker/Kubernetes deployment support with both MCP and CLI interfaces, making it valuable for platform engineers who need to codify deployment knowledge, automate complex Kubernetes workflows, and provide AI-assisted deployment guidance to development teams.
Source: https://github.com/vfarcic/dot-ai
Install
npx -y @vfarcic/dot-aiTags: mcp-server, ai, npm
⭐ 307 GitHub stars · Source: pulsemcp
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Frequently asked questions
How do I install Dot AI (Kubernetes Deployment)?
Add the install command above to your Claude Code, Cursor, or Windsurf MCP configuration. Most servers register via npx, a local command, or a Docker image. Refer to the source repository for environment variables and credential requirements.
Which clients support Dot AI (Kubernetes Deployment)?
Any MCP-compatible client works: Claude Desktop, Claude Code CLI, Cursor, Windsurf, Zed, and VS Code with the official MCP extension. OpenAI Codex and GitHub Copilot increasingly support MCP via adapter bridges.
Is Dot AI (Kubernetes Deployment) free?
The server itself is typically open source. Any upstream service (API keys, paid tiers, hosted infrastructure) may have its own pricing. Check the source repository for details.