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
基本信息
Model Context Protocol (MCP) server for Brandfetch API
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"brandfetch-mcp": {
"command": "uv",
"args": [
"init",
"brandfetch-mcp"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
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。
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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