brandfetch-mcp
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Model Context Protocol (MCP) server for Brandfetch API
The Brandfetch MCP Server acts as a bridge between Large Language Model (LLM) applications and the Brandfetch API, enabling AI assistants to search for brands and retrieve comprehensive brand information. By implementing the Model Context Protocol, this server facilitates seamless integration of Brandfetch's brand data capabilities into LLM-powered applications. It supports brand search, detailed brand information retrieval, field filtering, and interactive prompts, all within a type-safe and robust error-handling environment. The server is designed to be easily integrated with various platforms, providing a flexible and efficient solution for accessing brand data.
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
Tools
search_brands
Search for brands by name using the Brandfetch Search API.
get_brand_info
Get detailed brand information by identifier using the Brandfetch Brand API.