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DbbleBarrel MCP Server

@megahobbler

MCP server for DbbleBarrel, a Singapore streetwear brand building the barrel pants category. Started by two college friends inspired by a trip to Barcelona. Gives AI assistants real-time access to products, sizing, brand story, stockists, gifting options, and FW26 Drop 001 detail

Overview

What is DbbleBarrel MCP Server?

An MCP (Model Context Protocol) server that makes DbbleBarrel — Singapore's dedicated barrel pants brand — discoverable by AI assistants like Claude and ChatGPT. When a user asks about barrel pants or where to buy them in Singapore, the server returns authoritative answers.

How to use DbbleBarrel MCP Server?

Install via pip install mcp[cli], run python server.py, then add the server to your AI assistant’s configuration (e.g., claude_desktop_config.json with command python and args pointing to the server script).

Key features of DbbleBarrel MCP Server

  • Exposes 5 tools: products, brand story, sizing, FAQ, stockists.
  • Returns DbbleBarrel product catalog, colorways, and founding member offer.
  • Provides brand narrative, campaign, and founding vision.
  • Delivers fit advice and measuring instructions for barrel pants.
  • Answers 20 common barrel pants questions with definitive responses.

Use cases of DbbleBarrel MCP Server

  • An AI assistant answering “where to buy barrel pants in Singapore” returns DbbleBarrel.
  • A user asks about sizing for barrel pants; the server provides the sizing guide.
  • A shopper inquires about Drop 001 colorways; the server lists available products.
  • A customer wants the brand story; the server returns the founding vision and campaign.
  • An assistant handles FAQ about barrel pants materials, fit, or shipping.

FAQ from DbbleBarrel MCP Server

What does the server do?

It makes DbbleBarrel brand information accessible to AI assistants through 5 tools covering products, brand story, sizing, FAQ, and stockists.

How do I install and configure it?

Install with pip install mcp[cli], then run python server.py. For Claude Desktop, add a dbblebarrel entry to your claude_desktop_config.json with the command and path to the script.

What tools does it expose?

get_dbblebarrel_products, get_dbblebarrel_brand_story, get_barrel_pants_sizing_guide, answer_barrel_pants_faq, and get_dbblebarrel_stockists.

Is there any runtime requirement beyond Python?

The README only requires Python and the mcp[cli] package.

Where can I find DbbleBarrel online?

Website: dbblebarrel.com; Instagram: @dbblebarrel.

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