Vibe Stack MCP
Helps developers choose the right tech stack for their projects with personalized recommendations.
Vibe Stack MCP š
A Model Context Protocol (MCP) server that helps VibeCoder developers choose the perfect tech stack for their projects through progressive questioning and personalized recommendations.
Perfect for rapid prototyping and getting tech stack recommendations based on your project requirements, budget, timeline, and technical comfort level.
What it does
This MCP server helps developers quickly choose optimal technology stacks without getting bogged down in technical analysis paralysis. Instead of researching dozens of frameworks, it asks smart questions about your project and gives you the modern, battle-tested stack that fits your needs.
Key Features
- Jargon-free questioning: Uses simple language anyone can understand
- Progressive elicitation: Gathers requirements step-by-step using MCP's elicitation spec
- Platform-as-a-Service focus: Recommends easy-to-use platforms like Vercel, Supabase, Netlify
- Practical guidance: Provides deployment guides and cost estimates
- Beginner-friendly: Focuses on tools that minimize technical complexity
Installation
- Install dependencies:
uv pip install fastmcp
- Run the server:
python run_server.py
- Add to your MCP client configuration (e.g., Claude Desktop):
{
"mcpServers": {
"vibe-stack-planner": {
"command": "python",
"args": ["/path/to/vibe_coder_stack_planner/run_server.py"]
}
}
}
Tools Available
start_project_planning()
Initiates the interactive planning process through a series of simple questions:
- What are you trying to build?
- Who will use it and how?
- What features do you need?
- How many users do you expect?
- What's your budget and technical comfort level?
recommend_stack(session_requirements?)
Provides tech stack recommendations based on gathered requirements. Can be used with or without the interactive process.
explain_recommendation(detail_level?)
Explains why specific technologies were recommended, with "basic" or "detailed" explanations.
get_deployment_guide(platform?)
Provides step-by-step deployment instructions tailored to your specific needs.
Example Usage
User: I want to build something but I don't know where to start technically.
AI: Let me help you plan the right tech stack! I'll use the vibe coder stack planner to ask you some simple questions.
[Uses start_project_planning tool]
Server: Let's start planning your project! First, tell me about your vision.
What problem are you trying to solve, or what idea do you want to build?
[Progressive questioning continues...]
Server: š Perfect! Based on what you've told me, here's my recommendation:
**Recommended Tech Stack:**
⢠Frontend: Next.js (React framework) for a modern web app
⢠Backend: Supabase (handles database, auth, and API automatically)
⢠Hosting: Vercel (free tier covers most small projects)
⢠Domain: Namecheap or Google Domains (~$12/year)
**Why this works for you:**
I chose beginner-friendly tools that handle most technical details automatically. These tools let you build and deploy quickly. This stack has generous free tiers to keep costs minimal.
Architecture
The server uses:
- FastMCP: High-level Python framework for MCP servers
- Elicitation Spec: Latest MCP elicitation specification for interactive questioning
- Rule-based recommendations: Analyzes requirements to suggest appropriate technologies
- Progressive disclosure: Builds complexity gradually based on user comfort level
Supported Platforms
The server focuses on Platform-as-a-Service solutions:
- Frontend: Vercel, Netlify, GitHub Pages
- Backend: Vercel Functions, Netlify Functions, Supabase
- Database: Supabase, PlanetScale, Firebase
- Auth: Supabase Auth, Auth0, Clerk
- Hosting: Vercel, Netlify, Render
Development
To extend or modify the server:
- Add new question types: Modify the elicitation flow in
_ask_about_*functions - Enhance recommendations: Update the
_analyze_requirementsfunction - Add new platforms: Extend the recommendation logic and deployment guides
- Improve UI: The elicitation spec supports rich form controls
License
This project is open source. Feel free to fork, extend, and contribute!
Built with ā¤ļø for the vibe coder community
Related Servers
Scout Monitoring MCP
sponsorPut performance and error data directly in the hands of your AI assistant.
Alpha Vantage MCP Server
sponsorAccess financial market data: realtime & historical stock, ETF, options, forex, crypto, commodities, fundamentals, technical indicators, & more
Website Generator MCP
An example MCP server designed for deployment on Cloudflare Workers, supporting both remote and local setups.
Symphony of One
Orchestrates multiple Claude instances for collaborative tasks via a central hub with a shared workspace and real-time communication.
Bucket
Flag features, manage company data, and control feature access using Bucket.
AI Counsel
True deliberative consensus MCP server where AI models debate and refine positions across multiple rounds
Agile Planner MCP Server
An AI-powered server for generating agile artifacts like backlogs, features, and user stories.
Qase
Interact with the Qase API for test management. Requires a QASE_API_TOKEN for authentication.
Cargo MCP
Interact with Rust projects using Cargo commands like build, test, and run.
OpenDia
An open-source server that exposes browser functions via MCP, allowing AI models to interact with browser capabilities.
MCP Google Apps Script Server
A server for seamless integration with Google Apps Script, enabling automation and extension of Google Workspace applications.
Unison MCP Server
An MCP server for the Unison language, allowing AI assistants to interact with the Unison Codebase Manager (UCM).