colacloud-mcp

colacloud-mcp

Provides access to over 2.5 million US alcohol label records from the TTB via the COLA Cloud API. It enables users to search for labels by brand, barcode, or permit holder and retrieve detailed product information including label images and ABV.

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README

colacloud-mcp

MCP server for COLA Cloud - access US alcohol label data from AI assistants.

Query 2.5M+ Certificate of Label Approval (COLA) records from the TTB (Alcohol and Tobacco Tax and Trade Bureau) directly from Claude, ChatGPT, or other MCP-compatible AI tools.

Installation

# Using uvx (recommended, no install required)
uvx colacloud-mcp

# Or install with pip
pip install colacloud-mcp

Configuration

Claude Desktop

Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

{
  "mcpServers": {
    "colacloud": {
      "command": "uvx",
      "args": ["colacloud-mcp"],
      "env": {
        "COLA_API_KEY": "your-api-key-here"
      }
    }
  }
}

Other MCP Clients

Set the COLA_API_KEY environment variable and run:

export COLA_API_KEY="your-api-key-here"
colacloud-mcp

Getting an API Key

  1. Create an account at app.colacloud.us
  2. Go to Dashboard > API Keys
  3. Create a new API key

Free tier includes 500 requests/month.

Available Tools

Tool Description
search_colas Search and filter COLA records by brand, product type, origin, dates, ABV
get_cola Get detailed info for a specific COLA by TTB ID
search_permittees Search permit holders (alcohol producers/importers)
get_permittee Get permit holder details with recent COLAs
lookup_barcode Find COLAs by product barcode (UPC/EAN)
get_api_usage Check your API usage and rate limits

Example Queries

Once configured, you can ask Claude things like:

  • "Search for Tito's vodka labels"
  • "Find wine labels from Napa Valley approved in 2024"
  • "Look up the product with barcode 080686001010"
  • "Show me recent labels from permit holder CA-I-123"
  • "What craft beers have an IBU over 60?"

Data Available

Each COLA record includes:

  • Basic info: Brand name, product name, product type, origin
  • Dates: Application, approval, expiration dates
  • Label images: Front, back, neck, strip labels (1-2 per record)
  • Extracted data: ABV, volume, barcodes (via OCR/computer vision)
  • AI enrichment: Category, tasting notes, product descriptions

Development

# Clone and install
git clone https://github.com/cola-cloud-us/colacloud-mcp
cd colacloud-mcp
uv sync --dev

# Run locally
export COLA_API_KEY="your-key"
uv run colacloud-mcp

# Run tests
uv run pytest

# Lint
uv run ruff check .

License

MIT

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