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Vibepush

БесплатноНе проверен

MCP-native deployment platform. Any AI deploys to your servers.

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Описание

MCP-native deployment platform. Any AI deploys to your servers.

README

Stop writing YAML. Start shipping.

MCP-native deployment platform. Any AI agent can deploy, monitor, and fix your apps on your own servers.

License: AGPL-3.0 Status: Validating


We're in early validation stage. Star this repo if you want VibePush to exist. Your star = vote that this is worth building.


What is VibePush?

VibePush turns your VPS into an AI-managed deployment platform. Your server speaks MCP (Model Context Protocol) — so Claude, GPT, Gemini, or any MCP-compatible AI can:

  • Deploy your apps from natural language
  • Monitor logs and metrics
  • Fix issues automatically

No YAML. No Kubernetes expertise. Just talk to your AI.

you: Deploy ./my-app with PostgreSQL
AI:  Building image... Deployed at my-app.example.com

you: Why is it crashing?
AI:  Found OOM error. Increasing memory to 512Mi... Fixed.

The Problem

We talked to developers. Here's what they said:

Kubernetes is hard

"Managing YAML is a weird Sisyphean job. It is by far my least favourite language."

70% of K8s users say complexity is their top challenge. The learning curve feels like scaling Everest.

Cloud PaaS = Lock-in + Surprise Bills

Heroku outages every other Friday. Vercel surprise bills ($95k for Cara). You don't own your infrastructure.

Self-hosted tools still need DevOps skills

Coolify, CapRover, Dokku — they give you control, but when things break, you're alone with Stack Overflow.

Vibe coding deployment gap

Lovable and Bolt generate code, but where do you deploy? Their hosting = lock-in. Your VPS = complexity. Shuttle just raised $6M to solve this exact problem.


Our Solution

Problem VibePush
YAML complexity AI generates config for you
K8s learning curve Zero knowledge required
Cloud lock-in Your servers, your rules
Self-hosted complexity AI troubleshooting, not Stack Overflow
Vibe coding deployment gap Export code → deploy with one command

How It Works

┌─────────────────┐      MCP       ┌─────────────────┐
│   Any AI Agent  │◄──────────────►│    VibePush     │
│                 │    Protocol    │   MCP Server    │
│  Claude / GPT   │                │                 │
│ Gemini / LLaMA  │                └────────┬────────┘
│    Cursor       │                         │
└─────────────────┘                         ▼
                                  ┌─────────────────┐
                                  │   Your Server   │
                                  │      (K3s)      │
                                  │                 │
                                  │  ┌───────────┐  │
                                  │  │  Your App │  │
                                  │  │  Postgres │  │
                                  │  │   Redis   │  │
                                  │  └───────────┘  │
                                  └─────────────────┘
  1. Install VibePush on your VPS
  2. Connect your AI via MCP protocol
  3. Talk to deploy — AI handles Docker, Helm, K3s

Supported AI Agents

VibePush works with any MCP-compatible AI:

Agent Support
Claude (Anthropic) Primary
ChatGPT (OpenAI) Planned
Gemini (Google) Planned
LLaMA (Meta) Planned
Cursor Planned
Your custom agent Planned

One protocol. Any AI. Your infrastructure.


Features (Planned)

  • MCP Protocol Native — Works with any MCP-compatible AI agent
  • AI Deployment — Understands your code, builds images, generates Helm charts
  • AI Troubleshooting — Reads logs, identifies issues, fixes automatically
  • Any Infrastructure — Hetzner, Contabo, DigitalOcean, bare metal
  • One-Click Databases — PostgreSQL, MySQL, Redis, MongoDB
  • Auto SSL & Security — Let's Encrypt, UFW, fail2ban

Start Small, Scale Big

Start with one server. Add more when you need them. No migration required.

    Day 1                    Month 3                   Scale
┌─────────────┐          ┌─────────────┐          ┌─────────────┐
│  1 Server   │          │  Control    │          │  Control    │
│ ─────────── │    →     │ ─────────── │    →     │ ─────────── │
│ All-in-One  │          │  Worker 1   │          │  Worker 1   │
│ (apps+dbs)  │          │             │          │  Worker 2   │
│             │          │             │          │  Worker N   │
└─────────────┘          └─────────────┘          └─────────────┘

Example conversation:

# Running low on RAM...
you: My server is getting slow. I have a new VPS at 95.216.x.x
AI:  Adding as worker node... Done.
     Cluster now has 2 nodes, 8GB RAM total.

# Black Friday is coming...
you: Add 3 more servers for the traffic spike
AI:  Adding workers... Done. 5 nodes ready.
     Scaling my-app to 5 replicas across all nodes.

Mix any providers:

  • Hetzner (Germany) + Contabo (Germany) + DigitalOcean (NYC)
  • Bare metal + Cloud VPS
  • ARM + x86

Project Status

Early Stage — Validating the Idea

We're building this in public. Before writing code, we want to validate that developers actually need this.

What We Have

  • Landing page: vibepush.dev
  • Pain points research
  • Architecture design
  • MVP implementation

How You Can Help

Action What it means
Star this repo "Yes, I want this to exist"
Open an issue Share your pain points
Watch Get updates on progress
Contribute PRs welcome

Comparison

Feature VibePush Coolify Railway Heroku
AI Deployment Any MCP AI
AI Troubleshooting Any MCP AI
Self-Hosted Yes Yes No No
Your Infrastructure Yes Yes No No
MCP Protocol Native
Multi-Node Scaling Yes Partial
No K8s Knowledge Yes Partial Yes Yes

Tech Stack (Planned)

Component Technology
Runtime K3s (lightweight Kubernetes)
Protocol MCP (Model Context Protocol)
Build Buildpacks / Docker
Ingress Traefik
SSL Let's Encrypt / cert-manager
Agent Go
MCP Server TypeScript

FAQ

Why MCP and not REST API?

MCP (Model Context Protocol) is Anthropic's standard for AI-to-tool communication. It's becoming the lingua franca for AI agents. By building MCP-native, VibePush works with any AI that adopts the protocol — not just Claude.

Why K3s and not Docker Compose?

K3s gives us Kubernetes power (rolling deploys, auto-healing, scaling) without Kubernetes complexity. The AI handles the complexity — you just deploy.

How is this different from Coolify?

Coolify is UI-first. VibePush is AI-first. When your app crashes at 3am, you ask your AI to fix it — not navigate a dashboard.

Will this work with ChatGPT / Gemini?

Yes, once they support MCP. We're building for the protocol, not a specific AI.

Can I start with one server and add more later?

Absolutely. This is the expected path:

  1. Day 1: Single $5 VPS runs everything (control plane + apps + databases)
  2. When you grow: Add worker nodes with a simple "Add server X.X.X.X" command
  3. Scale: Mix providers (Hetzner + Contabo + DO), mix architectures (ARM + x86)

No migration, no downtime, no reconfiguration.


Community


License

AGPL-3.0

Free to use, modify, and distribute. If you run VibePush as a service, you must open-source your modifications.


Star this repo if you want VibePush to exist.

Your star = validation that we should build this.

vibepush.dev

from github.com/vibepush-dev/vibepush

Установка Vibepush

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/vibepush-dev/vibepush

FAQ

Vibepush MCP бесплатный?

Да, Vibepush MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для Vibepush?

Нет, Vibepush работает без API-ключей и переменных окружения.

Vibepush — hosted или self-hosted?

Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.

Как установить Vibepush в Claude Desktop, Claude Code или Cursor?

Открой Vibepush на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

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