What does the Brandfetch MCP Server do?
It provides an MCP interface that allows LLMs to search for brands and retrieve comprehensive brand information from the Brandfetch API.
@VincentSolconBraze
基本情報
Model Context Protocol (MCP) server for Brandfetch API
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"brandfetch-mcp": {
"command": "uv",
"args": [
"init",
"brandfetch-mcp"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
The Brandfetch MCP Server is a Model Context Protocol (MCP) server that bridges Large Language Model (LLM) applications with the Brandfetch API. It enables AI assistants to search for brands and retrieve comprehensive brand information including logos, colors, fonts, and company details. This server is intended for developers building LLM-powered applications that need brand data.
Install the server with pip install "mcp[cli]" httpx python-dotenv or via uv. Configure a .env file with BRANDFETCH_API_KEY and BRANDFETCH_CLIENT_ID. Run the server directly with python brandfetch_server.py, install it in Claude Desktop with mcp install brandfetch_server.py, or test with mcp dev brandfetch_server.py. Use the provided tools search_brands and get_brand_info to interact with the Brandfetch API.
It provides an MCP interface that allows LLMs to search for brands and retrieve comprehensive brand information from the Brandfetch API.
Python 3.9 or higher, and Brandfetch API credentials (API key and Client ID) obtained from the Brandfetch website.
Create a `.env` file with `BRANDFETCH_API_KEY` and `BRANDFETCH_CLIENT_ID` variables. These can also be passed as optional parameters to the tools.
Two tools: `search_brands` (search by name) and `get_brand_info` (get details by domain, brand ID, ISIN, or stock symbol, with optional field filtering).
Use the command `mcp install brandfetch_server.py` to install it directly in Claude Desktop for seamless integration.
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