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colacloud-mcp

Access over 2.5 million US alcohol Certificate of Label Approval (COLA) records from the TTB, featuring brand data, label images, and AI-enriched product details.

Tools
6
Updated
Jan 20, 2026

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

ToolDescription
search_colasSearch and filter COLA records by brand, product type, origin, dates, ABV
get_colaGet detailed info for a specific COLA by TTB ID
search_permitteesSearch permit holders (alcohol producers/importers)
get_permitteeGet permit holder details with recent COLAs
lookup_barcodeFind COLAs by product barcode (UPC/EAN)
get_api_usageCheck 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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