collectible-vault

collectible-vault

Enables AI assistants to manage a universal collectibles vault with natural language, supporting item lookup, addition, valuation, and portfolio summary via FastMCP.

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README

Universal Collectibles Vault (collectible-vault)

Docker FastAPI FastMCP License

An open-source, containerized, self-hosted web application for collectors to manage comics, Funko Pops, action figures, and trading cards. Replaces subscription services (CLZ, Funko tracking apps) with zero-friction camera scanning (UPC + local vision AI), automatic eBay sold-comps valuation, and FastMCP integration for natural-language AI assistants.


🏛️ System Architecture

 ┌─────────────────────────────────────────────────────────────────────────┐
 │                            User Mobile / Web UI                         │
 │               (HTML5 Camera Scanner / Vision Upload / Dashboard)         │
 └────────────────────────────────────┬────────────────────────────────────┘
                                      │ REST API / Base64 Image
 ┌────────────────────────────────────▼────────────────────────────────────┐
 │                       FastAPI App Core (Container 1)                    │
 ├────────────────────────────────────┬────────────────────────────────────┤
 │  • Barcode/UPC Intake Engine       │  • Valuation Refresh Engine        │
 │  • Pre-flight Metadata Form        │  • Analytics & Dashboard Stats API │
 └──────────────┬─────────────────────┴─────────────┬──────────────────────┘
                │ SQLite Hybrid Schema              │ Base64 Vision Payload
 ┌──────────────▼─────────────┐      ┌──────────────▼──────────────────────┐
 │    SQLite Hybrid Vault DB  │      │ Ollama Vision LLM (Container 3)     │
 │  (JSON Dynamic Metadata)   │      │ (qwen2-vl / llava model endpoint)   │
 └──────────────▲─────────────┘      └─────────────────────────────────────┘
                │ Direct SQLite access / ORM
 ┌──────────────┴─────────────┐
 │  FastMCP Server Daemon     │ <=========>  Claude Desktop / Ollama Agent
 │  (Natural Language AI)     │              "Show top comic value gains"
 └────────────────────────────┘

🚀 Key Features

  1. Frictionless "Snap & Add" Intake:

    • Path A (UPC Barcode): Decode box/cover barcodes with instant pre-populated metadata lookup.
    • Path B (Vision AI LLM): Upload photos directly to a local vision LLM (Ollama qwen2-vl or llava) to extract Title, Issue #, Publisher, Era, and estimated condition.
    • Pre-flight Confirmation UI: Review auto-populated metadata and AI confidence score before saving.
  2. Universal Dynamic Hybrid Schema:

    • Universal fields across all item types (id, title, category, purchase_price, current_market_value, condition_grade, notes).
    • Dynamic metadata_json field for category-specific tags (issue number, variant, box number, card set, grading service).
  3. Live Market Valuation Engine:

    • Sold-comps algorithm simulating completed market listings to track true Fair Market Value (FMV).
    • Keeps historical valuation trend points to plot financial gains/losses over time with interactive Chart.js line graphs.
  4. FastMCP Natural Language AI Agent Server:

    • Exposes vault tools (get_vault_summary, add_item, query_item_market_value, list_top_collectibles, refresh_vault_valuations) to Claude Desktop or Ollama agents.

🐳 Quickstart Deployment with Docker Compose

Prerequisites

  • Docker & Docker Compose installed on Linux / Proxmox VM.

1. Clone & Launch Stack

git clone https://github.com/your-username/collectible-vault.git
cd collectible-vault

docker-compose up -d

2. Access Web Dashboard

Open your web browser and navigate to:

http://localhost:8000

Or use your Proxmox VM IP: http://<PROXMOX_SERVER_IP>:8000

3. Enable Vision LLM Model (Optional)

Pull the vision LLM into the Ollama container:

docker exec -it collectible-vault-ollama ollama pull qwen2-vl

🤖 FastMCP Server Setup for AI Assistants

Claude Desktop Integration (claude_desktop_config.json)

Add the following to your Claude Desktop config file:

{
  "mcpServers": {
    "collectible-vault": {
      "command": "python",
      "args": [
        "/path/to/collectible-vault/mcp_server.py"
      ],
      "env": {
        "DATABASE_URL": "sqlite:////path/to/collectible-vault/vault.db"
      }
    }
  }
}

Now ask Claude:

"What's the total value of my comic book vault?"
"Add a 1st Edition Charizard card bought for $400 with current market value $1,850."


🛠️ REST API Reference

Method Endpoint Description
GET /api/items List collectibles (filters: category, search, sort_by)
POST /api/items Save new item to vault
GET /api/items/{id} Get item detail & valuation timeline
DELETE /api/items/{id} Delete item from vault
POST /api/intake/vision Upload photo for Ollama Vision LLM parsing
POST /api/intake/barcode Lookup UPC barcode metadata
POST /api/valuation/refresh Trigger live eBay sold comps refresh
GET /api/dashboard/stats Get aggregated portfolio stats & top items

📄 License

Released under the MIT License.

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