futuretea | Cloud-native builder | Go, Kubernetes, Harvester, Rancher, AIOps

Enrich & Enjoy. I build small, practical tools around infrastructure automation, Kubernetes operations, Harvester/Rancher workflows, and agent/MCP integrations.

• 🚀 harvester/harvester (5k+ stars) - open source hyperconverged infrastructure software.
• 🧱 kubevirt/kubevirt (6.8k+ stars) - Kubernetes virtualization API and runtime.
• 🧰 harvester/terraform-provider-harvester (90+ stars) - Terraform provider for Harvester.
• 🤖 rancher-mcp-server - MCP server for Rancher.
• 🧩 yunxiao-mcp-server - MCP server for Alibaba Yunxiao.
• ⚙️ harvester-auto - create a Harvester cluster with a single Slack command.
• 🌐 harvester-netboot - declarative multi-cluster Harvester network boot server.

• 🚀 harvester-auto - Slack-driven Harvester cluster creation.
• 🌐 harvester-netboot - declarative network boot for Harvester clusters.
• 🧾 harvester-inventory - Ansible dynamic inventory backed by Harvester.
• 🛠️ kubectl-node-maintain - interactive TUI for Kubernetes node maintenance.
• 📦 harbor-proxy - stateless reverse proxy for Harbor registry repository prefixing.

• 🤖 rancher-mcp-server - Model Context Protocol server for Rancher.
• 🧩 yunxiao-mcp-server - MCP server for Alibaba Yunxiao.
• 🚨 flashduty-mcp-server - MCP server for FlashDuty incident management.
• 🧠 localrecall-mcp-server - MCP server for LocalRecall.
• 💬 wecom-bot-mcp-server - WeCom bot integration as an MCP server.
• 🧑‍💻 rancher-assistant - Claude Code plugin for Rancher workflows.
• 🚦 flashduty-assistant - Claude Code plugin for FlashDuty workflows.

• 🔗 go-http-client - lightweight Go HTTP client with a fluent chain API.
• 💬 go-wecom-bot - Go SDK for WeCom group robot APIs.
• 🌐 server - simple HTTP server for logging GET and POST requests.
• 🧱 bci - base images.
• 🧰 se-skills - Solutions Engineer skills.

Older repositories such as YApi helpers, Vagrant labs, Docker image experiments, and homelab scripts are kept public as history. I keep them out of the main project list so this profile reflects what I am actively building now.

• Building MCP servers that connect AI agents to real operations systems.
• Turning Harvester and Rancher workflows into repeatable CLI, GitOps, and chat-driven automation.
• Maintaining a large set of forks for Kubernetes, cloud-native, observability, and AI-agent infrastructure research.
• Learning and practicing AIOps with a bias toward tools that make operations more observable and repeatable.

Keep the boring parts automated, keep the important parts understandable.