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](https://landscape.cncf.io/?item=app-definition-and-development--application-definition-image-build--kubefwd) [ ](https://codecov.io/gh/txn2/kubefwd) [ ](https://github.com/txn2/kubefwd/releases) [ ](https://scorecard.dev/viewer/?uri=github.com/txn2/kubefwd) [ [](https://slsa.dev)
Documentation | Getting Started | User Guide | API Reference | MCP (AI Integration)
Develop Locally, Connect to Kubernetes
kubefwd enables developers to work on their local machine while seamlessly accessing services running in a Kubernetes cluster. If you're building a new API that needs to connect to a database at db:5432, an auth service at auth:443, and a cache at redis:6379, all running in your development cluster, kubefwd makes them available locally by their service names, exactly as they would appear in-cluster. No environment-specific configuration, no local service setup, no Docker Compose files. Just run kubefwd and your application's existing connection strings work.
Works with Claude (desktop and mobile), Cursor, Windsurf, VS Code, and any MCP-compatible AI app.
Category: Developer Tools
Don't lose this
Three weeks from now, you'll want txn2/kubefwd again. Will you remember where to find it?
Save it to your library and the next time you need txn2/kubefwd, it’s one tap away — from any AI app you use. Group it into a bench with the rest of the team for that kind of task and you can pull the whole stack at once.
⚡ Pro tip for geeks: add a-gnt 🤵🏻♂️ as a custom connector in Claude or a custom GPT in ChatGPT — one click and your library is right there in the chat. Or, if you’re in an editor, install the a-gnt MCP server and say “use my [bench name]” in Claude Code, Cursor, VS Code, or Windsurf.
a-gnt's Take
Our honest review
This plugs directly into your AI and gives it new abilities it didn't have before. txn2/kubefwd. Once connected, just ask your AI to use it. It's completely free and works across most major AI apps. This one just landed in the catalog — worth trying while it's fresh.
Tips for getting started
Tap "Get" above, pick your AI app, and follow the steps. Most installs take under 30 seconds.
What's New
Imported from awesome:punkpeye/awesome-mcp-servers
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