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@vincikit/mcp-server

v2.0.1

Published

AI stack configurator that helps you build the optimal technology stack through conversational interviews and intelligent recommendations

Downloads

168

Readme

@vincikit/mcp-server

AI stack configurator that helps you build the optimal technology stack through conversational interviews and intelligent recommendations.

What is VinciKit?

VinciKit is an MCP server that acts as your personal AI stack architect. Through a conversational interview, it understands your project's needs and recommends the best combination of AI models, tools, and services - complete with cost estimates and implementation guidance.

Features

  • Conversational Interview - Guided questions to understand your project scope, expertise, budget, and timeline
  • AI-Powered Recommendations - Intelligent stack suggestions using Claude or Gemini
  • Tool Catalog - 30+ tools across 13 categories (finance, design, productivity, e-commerce, hardware, and more)
  • Cost Estimation - Setup costs, monthly costs, and first-year projections
  • Session Persistence - Save and resume sessions across devices
  • ASCII Visualization - Text-based stack diagrams for any terminal

Installation

Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "vincikit": {
      "command": "npx",
      "args": ["-y", "@vincikit/mcp-server"],
      "env": {
        "ANTHROPIC_API_KEY": "your-key-here"
      }
    }
  }
}

Global Install

npm install -g @vincikit/mcp-server
vincikit-mcp

From Source

git clone https://github.com/idoco2003/VinciKit.git
cd VinciKit/mcp-server
npm install
npm start

Available Tools

Interview Flow

| Tool | Description | |------|-------------| | start_interview | Begin a new conversational stack configuration session | | answer_question | Answer the current interview question | | skip_to_recommendation | Jump directly to AI recommendations |

Session Management

| Tool | Description | |------|-------------| | get_session | Retrieve current session data and progress | | update_session | Modify answers and regenerate recommendations | | list_sessions | View all sessions for a user | | link_account | Link session to email for persistence | | create_setup_link | Generate a personalized setup URL |

Catalog & Visualization

| Tool | Description | |------|-------------| | list_tools | Browse the tool catalog by category | | get_tool_details | Get detailed information about a specific tool | | visualize_stack | Generate ASCII visualization of your stack | | quick_recommend | Get fast recommendations without full interview |

Resources

| URI | Description | |-----|-------------| | vincikit://catalog | Complete tool catalog (JSON) | | vincikit://questions | Interview question definitions (JSON) |

Tool Categories

  • Finance - Alpha Vantage, Alpaca, Plaid, CoinGecko, Yahoo Finance
  • Design/CAD - AutoCAD, Fusion 360, Figma, Canva
  • Productivity - Notion, Google Sheets, Slack, GitHub
  • E-commerce - Shopify, Square, Stripe
  • Hardware - DigiKey, Mouser
  • Maps/Location - Google Maps, Mapbox
  • Data/Search - Brave Search, Semantic Scholar
  • Food/Agriculture - USDA FoodData Central
  • Transcription - AssemblyAI, Deepgram
  • Edge AI - Jetson Orin Nano/NX, Raspberry Pi
  • Vision - OpenCV, YOLO

Environment Variables

| Variable | Required | Description | |----------|----------|-------------| | ANTHROPIC_API_KEY | Yes* | Claude API key for recommendations | | GEMINI_API_KEY | Yes* | Gemini API key (alternative to Claude) | | VINCIKIT_API_URL | No | Custom API endpoint | | MCP_API_KEY | No | API key for remote access |

*At least one AI provider key is required

Transport Modes

stdio (default)

For local Claude Desktop integration:

npm start

HTTP/SSE

For remote deployment (Cloud Run, etc.):

npm run start:http

Example Usage

User: I want to build a smart inventory system for my small retail business

AI: [calls start_interview]
    Let me help you find the perfect stack! First question:
    What's the scale of this project?
    - Hobby/Learning
    - Venture/Startup
    - Scale/Growth
    - Moonshot

User: Venture

AI: [calls answer_question with "venture"]
    Great! What's your background?
    ...

[After completing interview]

AI: [displays recommendation]
    Recommended Stack:
    - AI Engine: Claude 3.5 Sonnet ($20/month)
    - Tools: Shopify, Google Sheets, Notion
    - Estimated first year cost: $1,200

Links

  • Website: https://vincikit.com
  • Repository: https://github.com/idoco2003/VinciKit

License

MIT