brandfetch-mcp
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The Brandfetch MCP Server offers a streamlined way to integrate LLM applications with the Brandfetch API. It supports brand searching and retrieval of detailed brand data, providing a robust, type-safe interface for developers.
Overview
This project is a Model Context Protocol (MCP) server facilitating integration between Large Language Models (LLM) and the Brandfetch API. It enables seamless access to comprehensive brand information through features such as:
- Brand search and retrieval of detailed information including logos and company details
- Field filtering for optimized response and processing
- Type-safe Python implementation with robust error handling
Installation prerequisites include Python 3.9+ and Brandfetch API credentials. The server can be run through various methods including direct execution and integration with MCP Inspector. Examples and test cases are provided for guidance.