Brandfetch MCP Server
About
Model Context Protocol (MCP) server for Brandfetch API
Details
- Author
- VincentSolconBraze
- Downloads
- 175
- Categories
- Other
Jump to
- Search for brands by name.
- Retrieve detailed brand information (logos, colors, fonts, company details).
- Filter fields to optimize response size.
- Built-in interactive prompts for proper API usage.
- Type-safe Python codebase with async support.
- Robust error handling and logging.
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Brandfetch MCP ServerCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
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.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"brandfetch mcp server": {
"brandfetch-mcp": {
"command": "uv",
"args": [
"init",
"brandfetch-mcp"
]
}
}
}
}McpServers
{
"brandfetch-mcp": {
"command": "uv",
"args": [
"init",
"brandfetch-mcp"
]
}
}Brandfetch MCP Server
<div align="center">
<strong>Model Context Protocol (MCP) server for Brandfetch API</strong>
</div>
Overview
This MCP server provides a bridge between Large Language Model (LLM) applications and the Brandfetch API, allowing AI assistants to search for brands and retrieve comprehensive brand information. By implementing the Model Context Protocol, this server enables seamless integration of Brandfetch's brand data capabilities into LLM-powered applications.
Features
- Brand Search: Search for brands by name and get basic information
- Detailed Brand Information: Retrieve comprehensive brand data including logos, colors, fonts, and company details
- Field Filtering: Request only specific information to optimize response size and processing
- Interactive Prompts: Built-in prompts to guide users on proper API usage
- Type-safe Implementation: Fully typed Python codebase with modern async support
- Robust Error Handling: Comprehensive error handling and logging
Installation
Prerequisites
- Python 3.9 or higher
- Brandfetch API credentials (API key and Client ID)
Using uv (recommended)
```bash
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