DbbleBarrel MCP Server
@megahobbler
关于 DbbleBarrel MCP Server
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
基本信息
配置
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"dbblebarrel": {
"command": "uvx",
"args": [
"--from",
"git+https://github.com/megahobbler/dbblebarrel-mcp-server",
"dbblebarrel-mcp-server"
]
}
}
}工具
未检测到工具
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
概览
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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